Restart-aware CPU and CUDA baseline, 2026-10-17

This baseline retains all 54 configurations, 108 fresh-process artifacts and 1,336 eligible candidate/case results. The complete tables contain 668 rows, each with both fixed process observations. Ratios describe this host and run order; they are point estimates without confidence or regression claims.

Across both fresh processes, every recorded iteration/matvec/restart signature repeats; external restart observations remain explicitly unknown. No known work changes across scopes, native execution modes or presets were observed for the same candidate and fixture. CUDA retains eight higher medians against eager Torch: fresh cuBLAS Jacobi API on all four dense sizes in both native execution modes. Its Session/prepared comparisons, and all cuda-native dense/CSR comparisons, have lower measured medians. CPU implementation comparisons retain 45 higher medians out of 288 matched native/reference pairs; all 64 CPU CSR pairs have lower medians. The separate solver-strategy inventory retains 25 higher medians out of 80 pairs, with unknown external restart counts and different solver policies. These are scoped descriptive observations, not confidence or universal speed claims.

The public measured-source tag is benchmarks/restart-baseline-20261017. The NVIDIA driver recorded in this campaign is 610.88, with driver API 13030; historical reports used a different driver and sampling protocol. Their timings are not silently pooled with this baseline.

The next candidates target three specific costs. Private CUDA execution storage can combine its partial reductions, scalar and optional full 4 MiB cuBLAS scratch into one RAII allocation, while retaining fresh handle ownership and the existing synchronization contract. CPU GEMV can process four rows together and share loaded x values, preserving each row’s four-lane reduction and the serial outer accumulation order; register pressure may offset that reuse. OpenMP partitions on odd shapes may change and require explicit validation and work-count disclosure. A CUDA device candidate can run the existing stable-norm collective inside the residual/beta check and remove one separate post-update norm launch. All threads must complete the collective before thread zero evaluates the existing residual-exit and beta logic; guarded work, packet copies, synchronization and exit priorities stay intact. An explicit invalid-alpha exit saves no launch. These are hypotheses for later fixed A/B evaluation, not measured improvements or permission to relax iteration/matvec/restart parity. All framework controls and inconclusive or regression results must remain visible.

Actual compiled commit: 1aae5d2d8c07243ce5e15b2fe04784ed24b12ad7; compiled tree: 06f324529806d3edf005e4ecbb6a3c27f048f946.

Method and scope

The fixed order is all 54 configurations forward, then exactly in reverse. Every artifact uses seed 20261017, three warmups, 36 complete balanced Williams rounds and one solve per round. All declared candidates run in every artifact. The estimator is the median of the two process medians, and the range brackets those two medians. Reverse/forward compares those process medians directly; it does not establish drift, causation or significance.

Each table records iterations/matvecs/restarts as I/M/R. A direction restart is counted only when a new CG/PCG direction is actually installed after residual recomputation; the initial direction and unsuccessful attempts are excluded. Official SciPy CG/PCG and SuperLU restart counts are explicitly unknown. Unknown restart counts do not establish numerical-work parity. Known work differences remain visible and are not normalized into a pure kernel ratio.

CUDA inputs are GPU-resident. Upload and independent correctness downloads are outside solve timing; x0 reset, dispatch, required scalar synchronization and completed final work are included. API allocates output and workspace on every call, plus Jacobi data when requested. Session reuses iterative workspace but allocates fresh output and per-call Jacobi data when requested. Prepared reuses setup, output and workspace. Native host/device execution is explicit; the Torch project reference keeps its own implementation and discloses that native execution mode does not apply. See Methodology and reproduction for the full allocation and timing contracts, including framework caching allocators and the distinction between tensor creation and traced CUDA allocation calls.

CPU OpenMP uses two threads and logical affinity [0,2]; all other presets use one thread and affinity [0]. WSL affinity does not isolate the physical host. Host load, Windows display use, GPU clocks and thermal state are uncontrolled. Different frameworks, scopes, modes and solver strategies may perform different accepted-tolerance work. No cross-scope strict comparison or universal speed claim is made. SciPy official solvers have a different refresh policy; SuperLU is a general sparse direct solver. LU-total includes factorization and solve, whereas LU-reuse retains its factorization. Neither is a pure CG kernel.

Repair provenance

The original campaign stopped after numerical worker 29 completed successfully: the parent audit incorrectly indexed null Torch metadata for the six-strategy cohort, which intentionally imports no Torch. Its failed manifest, claim, plan, all 29 raw/import/log sets and original frozen tools remain unchanged. A separate one-time audit repair revalidated those 29 without running them again, then ran only original positions 30–108, in the original order. It changes only applicable Torch metadata auditing. All sampling, numerical policies and other environment and complete threadpool gates remain exact. The continuation introduces a wall time gap, so the campaign must not be described as uninterrupted or retry-free without this qualification. No numerical worker was repeated or discarded.

Repeated same-configuration I/M/R gate: passed.

Hardware and source identity

{
  "platform": "Linux-6.6.87.2-microsoft-standard-WSL2-x86_64-with-glibc2.39",
  "machine": "x86_64",
  "cpu": "13th Gen Intel(R) Core(TM) i7-13700K",
  "logical_cpus": 24
}

• cpu-release _core: 76168203038c854eec161fb28eac73b832ec0d0341d76e0266dfdc3514318611.

• cpu-blas _core: 81f5e99ede9ebf0d62e2ffcef1b4529183ce335a9d2e713d6a2d5373c7f63702.

• cpu-openmp _core: 17d44c0b297d33607aef6c51084304e1955b3e5961fec29409e4a13a57cb1ea1.

• cuda-release _core: 84d7166a496b4190f373fbdf2ffd057af8c7ada67f53670aed9d30ba78ba764a.

• cuda-release _cuda: 760af83cc19b2e0c6b06f9373166d7bd7022d4a2a779677f5a3d141dec774240.

Frozen stage and host compiler

Preset	Identity SHA256	Compiler	Flags
cpu-release	82f66c8a54d2c5a029ab6b62941d37650c1d2f07441ad6dd5e852b052e567b38	GNU 16.0.1	-O3 -DNDEBUG
cpu-blas	c2ee4d3b54cb2f013799122cfb6bb254f102582931ebe16f341bbb3698ace8a9	GNU 16.0.1	-O3 -DNDEBUG
cpu-openmp	425d959e2b85fc58d2bdfcd3bc1f41f95845478f6989adb1ff723d237920375d	GNU 16.0.1	-O3 -DNDEBUG
cuda-release	7a956531880eaee793f22d75c4cc748f53c20ee8d5569fc0f2fe4cf67411d416	GNU 13.3.0	-O3 -DNDEBUG

CUDA runtime, device mapping, compiler and package controls:

{
  "cuda": {
    "device": 0,
    "environment": {
      "CUBLAS_WORKSPACE_CONFIG": ":4096:8",
      "CUDA_DEVICE_ORDER": null,
      "CUDA_LAUNCH_BLOCKING": null,
      "CUDA_VISIBLE_DEVICES": null,
      "PYTORCH_CUDA_ALLOC_CONF": null
    },
    "nvidia_smi": [
      {
        "driver_version": "610.88",
        "name": "NVIDIA GeForce RTX 2060",
        "pci_bus_id": "00000000:01:00.0",
        "physical_index": "0",
        "uuid": "GPU-725be96d-2b67-c8ec-fa10-5d9b23a2c302"
      }
    ],
    "torch": {
      "compute_capability": [
        7,
        5
      ],
      "cudnn_allow_tf32": false,
      "deterministic_algorithms": false,
      "device": 0,
      "matmul_allow_tf32": false,
      "multiprocessor_count": 30,
      "name": "NVIDIA GeForce RTX 2060",
      "runtime_version": "12.8",
      "total_memory_bytes": 6442123264,
      "uuid": "725be96d-2b67-c8ec-fa10-5d9b23a2c302"
    }
  },
  "native": {
    "runtime_info": {
      "compute_capability": [
        7,
        5
      ],
      "device": 0,
      "driver_api_version": 13030,
      "name": "NVIDIA GeForce RTX 2060",
      "runtime_version": 12080,
      "total_memory": 6442123264,
      "uuid": "GPU-725be96d-2b67-c8ec-fa10-5d9b23a2c302"
    },
    "build_info": {
      "architectures": "75",
      "build_type": "Release",
      "compiler": "NVIDIA 12.8.93",
      "enabled": true,
      "flags": " -O3 -DNDEBUG",
      "host_compiler": "GNU 13.3.0",
      "scalar_dtype": "float64",
      "toolkit_version": "12.8.93"
    }
  },
  "packages": {
    "cgpy": "0.4.0",
    "numpy": "2.2.6",
    "scipy": "1.15.3",
    "threadpoolctl": "3.6.0",
    "torch": "2.8.0+cu128"
  }
}

Matched native/reference summary

Lower/higher counts compare the median of process medians for every matched fixture. Native/reference ratios below one indicate a lower measured native median. Strategy comparisons remain separately labelled; unknown/different work is descriptive. Every higher median appears in the loss inventory.

All matched scopes and controls

Configuration	Native	Reference	Lower/higher/equal	Ratio range	I/M/R parity
cpu-release-cpu-dense-f64-v1-none-api-fused1-host	native	numpy-out	3/1/0	0.1800–1.1590	same
cpu-release-cpu-dense-f64-v1-none-api-fused1-host	native	torch-eager-out	3/1/0	0.1117–1.1357	same
cpu-release-cpu-dense-f64-v1-none-api-fused0-host	native	numpy-out	3/1/0	0.1909–1.2051	same
cpu-release-cpu-dense-f64-v1-none-api-fused0-host	native	torch-eager-out	3/1/0	0.1190–1.1727	same
cpu-release-cpu-dense-f64-v1-none-prepared-fused1-host	native	numpy-out	3/1/0	0.1486–1.2058	same
cpu-release-cpu-dense-f64-v1-none-prepared-fused1-host	native	torch-eager-out	3/1/0	0.0872–1.0603	same
cpu-release-cpu-dense-f64-v1-none-prepared-fused0-host	native	numpy-out	3/1/0	0.1512–1.2784	same
cpu-release-cpu-dense-f64-v1-none-prepared-fused0-host	native	torch-eager-out	3/1/0	0.0917–1.1265	same
cpu-release-cpu-dense-f64-v1-jacobi-api-fused1-host	native	numpy-out	3/1/0	0.3982–1.1186	same
cpu-release-cpu-dense-f64-v1-jacobi-api-fused1-host	native	torch-eager-out	3/1/0	0.2037–1.1051	same
cpu-release-cpu-dense-f64-v1-jacobi-api-fused0-host	native	numpy-out	3/1/0	0.3064–1.0529	same
cpu-release-cpu-dense-f64-v1-jacobi-api-fused0-host	native	torch-eager-out	4/0/0	0.1525–0.9917	same
cpu-release-cpu-dense-f64-v1-jacobi-prepared-fused1-host	native	numpy-out	2/2/0	0.1904–1.4177	same
cpu-release-cpu-dense-f64-v1-jacobi-prepared-fused1-host	native	torch-eager-out	3/1/0	0.1038–1.3392	same
cpu-release-cpu-dense-f64-v1-jacobi-prepared-fused0-host	native	numpy-out	2/2/0	0.2195–1.1483	same
cpu-release-cpu-dense-f64-v1-jacobi-prepared-fused0-host	native	torch-eager-out	4/0/0	0.1219–0.9640	same
cpu-blas-cpu-dense-f64-v1-none-api-fused1-host	native	numpy-out	3/1/0	0.1641–1.1081	same
cpu-blas-cpu-dense-f64-v1-none-api-fused1-host	native	torch-eager-out	3/1/0	0.1010–1.0545	same
cpu-blas-cpu-dense-f64-v1-none-api-fused1-host	native-blas	numpy-out	4/0/0	0.1564–0.9611	same
cpu-blas-cpu-dense-f64-v1-none-api-fused1-host	native-blas	torch-eager-out	4/0/0	0.0962–0.9146	same
cpu-blas-cpu-dense-f64-v1-none-api-fused0-host	native	numpy-out	3/1/0	0.1711–1.1090	same
cpu-blas-cpu-dense-f64-v1-none-api-fused0-host	native	torch-eager-out	3/1/0	0.1054–1.0509	same
cpu-blas-cpu-dense-f64-v1-none-api-fused0-host	native-blas	numpy-out	4/0/0	0.1625–0.9339	same
cpu-blas-cpu-dense-f64-v1-none-api-fused0-host	native-blas	torch-eager-out	4/0/0	0.1001–0.8849	same
cpu-blas-cpu-dense-f64-v1-none-prepared-fused1-host	native	numpy-out	3/1/0	0.1248–1.1434	same
cpu-blas-cpu-dense-f64-v1-none-prepared-fused1-host	native	torch-eager-out	3/1/0	0.0775–1.0342	same
cpu-blas-cpu-dense-f64-v1-none-prepared-fused1-host	native-blas	numpy-out	4/0/0	0.1155–0.9886	same
cpu-blas-cpu-dense-f64-v1-none-prepared-fused1-host	native-blas	torch-eager-out	4/0/0	0.0718–0.8942	same
cpu-blas-cpu-dense-f64-v1-none-prepared-fused0-host	native	numpy-out	3/1/0	0.1529–1.2543	same
cpu-blas-cpu-dense-f64-v1-none-prepared-fused0-host	native	torch-eager-out	3/1/0	0.0897–1.2421	same
cpu-blas-cpu-dense-f64-v1-none-prepared-fused0-host	native-blas	numpy-out	4/0/0	0.1163–0.9685	same
cpu-blas-cpu-dense-f64-v1-none-prepared-fused0-host	native-blas	torch-eager-out	4/0/0	0.0682–0.9591	same
cpu-blas-cpu-dense-f64-v1-jacobi-api-fused1-host	native	numpy-out	3/1/0	0.2361–1.1012	same
cpu-blas-cpu-dense-f64-v1-jacobi-api-fused1-host	native	torch-eager-out	4/0/0	0.1294–0.9291	same
cpu-blas-cpu-dense-f64-v1-jacobi-api-fused1-host	native-blas	numpy-out	4/0/0	0.2766–0.9585	same
cpu-blas-cpu-dense-f64-v1-jacobi-api-fused1-host	native-blas	torch-eager-out	4/0/0	0.1516–0.8087	same
cpu-blas-cpu-dense-f64-v1-jacobi-api-fused0-host	native	numpy-out	3/1/0	0.2747–1.0174	same
cpu-blas-cpu-dense-f64-v1-jacobi-api-fused0-host	native	torch-eager-out	4/0/0	0.1398–0.9063	same
cpu-blas-cpu-dense-f64-v1-jacobi-api-fused0-host	native-blas	numpy-out	4/0/0	0.3100–0.9326	same
cpu-blas-cpu-dense-f64-v1-jacobi-api-fused0-host	native-blas	torch-eager-out	4/0/0	0.1578–0.8308	same
cpu-blas-cpu-dense-f64-v1-jacobi-prepared-fused1-host	native	numpy-out	2/2/0	0.1728–1.2329	same
cpu-blas-cpu-dense-f64-v1-jacobi-prepared-fused1-host	native	torch-eager-out	3/1/0	0.0977–1.2466	same
cpu-blas-cpu-dense-f64-v1-jacobi-prepared-fused1-host	native-blas	numpy-out	3/1/0	0.1713–1.1815	same
cpu-blas-cpu-dense-f64-v1-jacobi-prepared-fused1-host	native-blas	torch-eager-out	3/1/0	0.0968–1.1946	same
cpu-blas-cpu-dense-f64-v1-jacobi-prepared-fused0-host	native	numpy-out	2/2/0	0.2349–1.0818	same
cpu-blas-cpu-dense-f64-v1-jacobi-prepared-fused0-host	native	torch-eager-out	3/1/0	0.1464–1.0944	same
cpu-blas-cpu-dense-f64-v1-jacobi-prepared-fused0-host	native-blas	numpy-out	3/1/0	0.2307–1.0135	same
cpu-blas-cpu-dense-f64-v1-jacobi-prepared-fused0-host	native-blas	torch-eager-out	3/1/0	0.1438–1.0252	same
cpu-release-cpu-csr-f64-v1-none-api-fused1-host	native	scipy-out	4/0/0	0.1131–0.4946	same
cpu-release-cpu-csr-f64-v1-none-api-fused1-host	native	torch-eager-out	4/0/0	0.0847–0.6763	same
cpu-release-cpu-csr-f64-v1-none-prepared-fused1-host	native	scipy-out	4/0/0	0.0742–0.5254	same
cpu-release-cpu-csr-f64-v1-none-prepared-fused1-host	native	torch-eager-out	4/0/0	0.0568–0.7004	same
cpu-release-cpu-csr-f64-v1-jacobi-api-fused1-host	native	scipy-out	4/0/0	0.1365–0.5128	same
cpu-release-cpu-csr-f64-v1-jacobi-api-fused1-host	native	torch-eager-out	4/0/0	0.0906–0.6425	same
cpu-release-cpu-csr-f64-v1-jacobi-prepared-fused1-host	native	scipy-out	4/0/0	0.0706–0.5079	same
cpu-release-cpu-csr-f64-v1-jacobi-prepared-fused1-host	native	torch-eager-out	4/0/0	0.0499–0.6409	same
cpu-openmp-cpu-dense-f64-v1-none-api-fused1-host	native	numpy-out	2/2/0	0.3029–1.2600	same
cpu-openmp-cpu-dense-f64-v1-none-api-fused1-host	native	torch-eager-out	4/0/0	0.2004–0.9944	same
cpu-openmp-cpu-dense-f64-v1-none-prepared-fused1-host	native	numpy-out	2/2/0	0.2723–1.3425	same
cpu-openmp-cpu-dense-f64-v1-none-prepared-fused1-host	native	torch-eager-out	3/1/0	0.1772–1.0750	same
cpu-openmp-cpu-dense-f64-v1-jacobi-api-fused1-host	native	numpy-out	2/2/0	0.4660–1.3375	same
cpu-openmp-cpu-dense-f64-v1-jacobi-api-fused1-host	native	torch-eager-out	3/1/0	0.2759–1.1799	same
cpu-openmp-cpu-dense-f64-v1-jacobi-prepared-fused1-host	native	numpy-out	3/1/0	0.3731–1.1487	same
cpu-openmp-cpu-dense-f64-v1-jacobi-prepared-fused1-host	native	torch-eager-out	4/0/0	0.2352–0.8438	same
cpu-openmp-cpu-csr-f64-v1-none-api-fused1-host	native	scipy-out	4/0/0	0.2050–0.4902	same
cpu-openmp-cpu-csr-f64-v1-none-api-fused1-host	native	torch-eager-out	4/0/0	0.1366–0.6862	same
cpu-openmp-cpu-csr-f64-v1-none-prepared-fused1-host	native	scipy-out	4/0/0	0.1399–0.5269	same
cpu-openmp-cpu-csr-f64-v1-none-prepared-fused1-host	native	torch-eager-out	4/0/0	0.0674–0.6576	same
cpu-openmp-cpu-csr-f64-v1-jacobi-api-fused1-host	native	scipy-out	4/0/0	0.2193–0.6221	same
cpu-openmp-cpu-csr-f64-v1-jacobi-api-fused1-host	native	torch-eager-out	4/0/0	0.0915–0.7053	same
cpu-openmp-cpu-csr-f64-v1-jacobi-prepared-fused1-host	native	scipy-out	4/0/0	0.1779–0.5435	same
cpu-openmp-cpu-csr-f64-v1-jacobi-prepared-fused1-host	native	torch-eager-out	4/0/0	0.0925–0.7407	same
cpu-release-sparse-solvers-none-api-fused1-host	native-cg	scipy-cg	5/0/0	0.0976–0.5162	unknown
cpu-release-sparse-solvers-none-api-fused1-host	native-cg	scipy-pcg	3/2/0	0.0932–2.8684	unknown
cpu-release-sparse-solvers-none-api-fused1-host	native-cg	scipy-lu-total	3/2/0	0.1931–3.1175	unknown
cpu-release-sparse-solvers-none-api-fused1-host	native-cg	scipy-lu-reuse	0/5/0	1.6631–35.6254	unknown
cpu-release-sparse-solvers-none-api-fused1-host	native-pcg	scipy-cg	5/0/0	0.0262–0.1260	unknown
cpu-release-sparse-solvers-none-api-fused1-host	native-pcg	scipy-pcg	5/0/0	0.1171–0.2726	unknown
cpu-release-sparse-solvers-none-api-fused1-host	native-pcg	scipy-lu-total	5/0/0	0.0574–0.2963	unknown
cpu-release-sparse-solvers-none-api-fused1-host	native-pcg	scipy-lu-reuse	1/4/0	0.8859–3.3854	unknown
cpu-release-sparse-solvers-none-prepared-fused1-host	native-cg	scipy-cg	5/0/0	0.0957–0.5397	unknown
cpu-release-sparse-solvers-none-prepared-fused1-host	native-cg	scipy-pcg	3/2/0	0.0857–3.0481	unknown
cpu-release-sparse-solvers-none-prepared-fused1-host	native-cg	scipy-lu-total	3/2/0	0.1647–2.8751	unknown
cpu-release-sparse-solvers-none-prepared-fused1-host	native-cg	scipy-lu-reuse	0/5/0	1.7888–30.9123	unknown
cpu-release-sparse-solvers-none-prepared-fused1-host	native-pcg	scipy-cg	5/0/0	0.0179–0.1113	unknown
cpu-release-sparse-solvers-none-prepared-fused1-host	native-pcg	scipy-pcg	5/0/0	0.0997–0.2679	unknown
cpu-release-sparse-solvers-none-prepared-fused1-host	native-pcg	scipy-lu-total	5/0/0	0.0485–0.2527	unknown
cpu-release-sparse-solvers-none-prepared-fused1-host	native-pcg	scipy-lu-reuse	2/3/0	0.7578–2.7172	unknown
cuda-release-cuda-dense-f64-v1-none-api-fused1-host	cuda-native	torch-cuda-eager	4/0/0	0.4010–0.7485	same
cuda-release-cuda-dense-f64-v1-none-api-fused1-host	cuda-cublas	torch-cuda-eager	4/0/0	0.5415–0.7529	same
cuda-release-cuda-dense-f64-v1-none-api-fused1-device	cuda-native	torch-cuda-eager	4/0/0	0.2798–0.6071	same
cuda-release-cuda-dense-f64-v1-none-api-fused1-device	cuda-cublas	torch-cuda-eager	4/0/0	0.4083–0.6587	same
cuda-release-cuda-dense-f64-v1-none-session-fused1-host	cuda-native	torch-cuda-eager	4/0/0	0.4029–0.7419	same
cuda-release-cuda-dense-f64-v1-none-session-fused1-host	cuda-cublas	torch-cuda-eager	4/0/0	0.4197–0.6876	same
cuda-release-cuda-dense-f64-v1-none-session-fused1-device	cuda-native	torch-cuda-eager	4/0/0	0.2848–0.6295	same
cuda-release-cuda-dense-f64-v1-none-session-fused1-device	cuda-cublas	torch-cuda-eager	4/0/0	0.3232–0.6028	same
cuda-release-cuda-dense-f64-v1-none-prepared-fused1-host	cuda-native	torch-cuda-eager	4/0/0	0.4043–0.7348	same
cuda-release-cuda-dense-f64-v1-none-prepared-fused1-host	cuda-cublas	torch-cuda-eager	4/0/0	0.4183–0.6933	same
cuda-release-cuda-dense-f64-v1-none-prepared-fused1-device	cuda-native	torch-cuda-eager	4/0/0	0.2822–0.6283	same
cuda-release-cuda-dense-f64-v1-none-prepared-fused1-device	cuda-cublas	torch-cuda-eager	4/0/0	0.3012–0.5991	same
cuda-release-cuda-dense-f64-v1-jacobi-api-fused1-host	cuda-native	torch-cuda-eager	4/0/0	0.4286–0.6687	same
cuda-release-cuda-dense-f64-v1-jacobi-api-fused1-host	cuda-cublas	torch-cuda-eager	0/4/0	1.2156–1.3759	same
cuda-release-cuda-dense-f64-v1-jacobi-api-fused1-device	cuda-native	torch-cuda-eager	4/0/0	0.3332–0.5736	same
cuda-release-cuda-dense-f64-v1-jacobi-api-fused1-device	cuda-cublas	torch-cuda-eager	0/4/0	1.1223–1.3302	same
cuda-release-cuda-dense-f64-v1-jacobi-session-fused1-host	cuda-native	torch-cuda-eager	4/0/0	0.3967–0.6316	same
cuda-release-cuda-dense-f64-v1-jacobi-session-fused1-host	cuda-cublas	torch-cuda-eager	4/0/0	0.4263–0.5874	same
cuda-release-cuda-dense-f64-v1-jacobi-session-fused1-device	cuda-native	torch-cuda-eager	4/0/0	0.3135–0.6068	same
cuda-release-cuda-dense-f64-v1-jacobi-session-fused1-device	cuda-cublas	torch-cuda-eager	4/0/0	0.3310–0.5396	same
cuda-release-cuda-dense-f64-v1-jacobi-prepared-fused1-host	cuda-native	torch-cuda-eager	4/0/0	0.4298–0.7426	same
cuda-release-cuda-dense-f64-v1-jacobi-prepared-fused1-host	cuda-cublas	torch-cuda-eager	4/0/0	0.4573–0.6640	same
cuda-release-cuda-dense-f64-v1-jacobi-prepared-fused1-device	cuda-native	torch-cuda-eager	4/0/0	0.3291–0.7134	same
cuda-release-cuda-dense-f64-v1-jacobi-prepared-fused1-device	cuda-cublas	torch-cuda-eager	4/0/0	0.3739–0.6594	same
cuda-release-cuda-csr-f64-v1-none-api-fused1-host	cuda-native	torch-cuda-eager	4/0/0	0.4746–0.5103	same
cuda-release-cuda-csr-f64-v1-none-api-fused1-device	cuda-native	torch-cuda-eager	4/0/0	0.3443–0.3592	same
cuda-release-cuda-csr-f64-v1-none-session-fused1-host	cuda-native	torch-cuda-eager	4/0/0	0.4985–0.5062	same
cuda-release-cuda-csr-f64-v1-none-session-fused1-device	cuda-native	torch-cuda-eager	4/0/0	0.3384–0.3485	same
cuda-release-cuda-csr-f64-v1-none-prepared-fused1-host	cuda-native	torch-cuda-eager	4/0/0	0.4627–0.5085	same
cuda-release-cuda-csr-f64-v1-none-prepared-fused1-device	cuda-native	torch-cuda-eager	4/0/0	0.3298–0.3589	same
cuda-release-cuda-csr-f64-v1-jacobi-api-fused1-host	cuda-native	torch-cuda-eager	4/0/0	0.4509–0.5301	same
cuda-release-cuda-csr-f64-v1-jacobi-api-fused1-device	cuda-native	torch-cuda-eager	4/0/0	0.2559–0.3162	same
cuda-release-cuda-csr-f64-v1-jacobi-session-fused1-host	cuda-native	torch-cuda-eager	4/0/0	0.4644–0.5242	same
cuda-release-cuda-csr-f64-v1-jacobi-session-fused1-device	cuda-native	torch-cuda-eager	4/0/0	0.2705–0.2963	same
cuda-release-cuda-csr-f64-v1-jacobi-prepared-fused1-host	cuda-native	torch-cuda-eager	4/0/0	0.4967–0.5092	same
cuda-release-cuda-csr-f64-v1-jacobi-prepared-fused1-device	cuda-native	torch-cuda-eager	4/0/0	0.2741–0.2968	same

Complete remaining higher-median inventory

Every native/reference point-estimate loss

Configuration	Case	Native/reference	Native ms	Reference ms	Ratio	Native I/M/R	Reference I/M/R	Parity
cpu-release-cpu-dense-f64-v1-none-api-fused1-host	dense-2048	native/numpy-out	133.250233	114.968729	1.15901	70/73/1	70/73/1	same
cpu-release-cpu-dense-f64-v1-none-api-fused1-host	dense-2048	native/torch-eager-out	133.250233	117.332482	1.13566	70/73/1	70/73/1	same
cpu-release-cpu-dense-f64-v1-none-api-fused0-host	dense-2048	native/numpy-out	119.545844	99.196311	1.20514	70/73/1	70/73/1	same
cpu-release-cpu-dense-f64-v1-none-api-fused0-host	dense-2048	native/torch-eager-out	119.545844	101.940282	1.17270	70/73/1	70/73/1	same
cpu-release-cpu-dense-f64-v1-none-prepared-fused1-host	dense-2048	native/numpy-out	132.480457	109.864913	1.20585	70/73/1	70/73/1	same
cpu-release-cpu-dense-f64-v1-none-prepared-fused1-host	dense-2048	native/torch-eager-out	132.480457	124.946043	1.06030	70/73/1	70/73/1	same
cpu-release-cpu-dense-f64-v1-none-prepared-fused0-host	dense-2048	native/numpy-out	134.345307	105.088718	1.27840	70/73/1	70/73/1	same
cpu-release-cpu-dense-f64-v1-none-prepared-fused0-host	dense-2048	native/torch-eager-out	134.345307	119.261869	1.12647	70/73/1	70/73/1	same
cpu-release-cpu-dense-f64-v1-jacobi-api-fused1-host	dense-2048	native/numpy-out	8.917253	7.971514	1.11864	3/5/0	3/5/0	same
cpu-release-cpu-dense-f64-v1-jacobi-api-fused1-host	dense-2048	native/torch-eager-out	8.917253	8.069224	1.10509	3/5/0	3/5/0	same
cpu-release-cpu-dense-f64-v1-jacobi-api-fused0-host	dense-2048	native/numpy-out	8.576768	8.145480	1.05295	3/5/0	3/5/0	same
cpu-release-cpu-dense-f64-v1-jacobi-prepared-fused1-host	dense-1024	native/numpy-out	1.459701	1.403025	1.04040	4/6/0	4/6/0	same
cpu-release-cpu-dense-f64-v1-jacobi-prepared-fused1-host	dense-2048	native/numpy-out	10.457162	7.376163	1.41770	3/5/0	3/5/0	same
cpu-release-cpu-dense-f64-v1-jacobi-prepared-fused1-host	dense-2048	native/torch-eager-out	10.457162	7.808286	1.33924	3/5/0	3/5/0	same
cpu-release-cpu-dense-f64-v1-jacobi-prepared-fused0-host	dense-1024	native/numpy-out	1.489243	1.418102	1.05017	4/6/0	4/6/0	same
cpu-release-cpu-dense-f64-v1-jacobi-prepared-fused0-host	dense-2048	native/numpy-out	9.262359	8.066068	1.14831	3/5/0	3/5/0	same
cpu-blas-cpu-dense-f64-v1-none-api-fused1-host	dense-2048	native/numpy-out	132.933591	119.968866	1.10807	70/73/1	70/73/1	same
cpu-blas-cpu-dense-f64-v1-none-api-fused1-host	dense-2048	native/torch-eager-out	132.933591	126.057971	1.05454	70/73/1	70/73/1	same
cpu-blas-cpu-dense-f64-v1-none-api-fused0-host	dense-2048	native/numpy-out	117.896980	106.307222	1.10902	70/73/1	70/73/1	same
cpu-blas-cpu-dense-f64-v1-none-api-fused0-host	dense-2048	native/torch-eager-out	117.896980	112.187574	1.05089	70/73/1	70/73/1	same
cpu-blas-cpu-dense-f64-v1-none-prepared-fused1-host	dense-2048	native/numpy-out	132.347169	115.752917	1.14336	70/73/1	70/73/1	same
cpu-blas-cpu-dense-f64-v1-none-prepared-fused1-host	dense-2048	native/torch-eager-out	132.347169	127.967336	1.03423	70/73/1	70/73/1	same
cpu-blas-cpu-dense-f64-v1-none-prepared-fused0-host	dense-2048	native/numpy-out	141.413416	112.746579	1.25426	70/73/1	70/73/1	same
cpu-blas-cpu-dense-f64-v1-none-prepared-fused0-host	dense-2048	native/torch-eager-out	141.413416	113.849544	1.24211	70/73/1	70/73/1	same
cpu-blas-cpu-dense-f64-v1-jacobi-api-fused1-host	dense-2048	native/numpy-out	7.491425	6.802998	1.10119	3/5/0	3/5/0	same
cpu-blas-cpu-dense-f64-v1-jacobi-api-fused0-host	dense-2048	native/numpy-out	7.807740	7.674391	1.01738	3/5/0	3/5/0	same
cpu-blas-cpu-dense-f64-v1-jacobi-prepared-fused1-host	dense-1024	native/numpy-out	1.619652	1.597488	1.01387	4/6/0	4/6/0	same
cpu-blas-cpu-dense-f64-v1-jacobi-prepared-fused1-host	dense-2048	native/numpy-out	10.426763	8.456992	1.23292	3/5/0	3/5/0	same
cpu-blas-cpu-dense-f64-v1-jacobi-prepared-fused1-host	dense-2048	native/torch-eager-out	10.426763	8.364180	1.24660	3/5/0	3/5/0	same
cpu-blas-cpu-dense-f64-v1-jacobi-prepared-fused1-host	dense-2048	native-blas/numpy-out	9.992125	8.456992	1.18152	3/5/0	3/5/0	same
cpu-blas-cpu-dense-f64-v1-jacobi-prepared-fused1-host	dense-2048	native-blas/torch-eager-out	9.992125	8.364180	1.19463	3/5/0	3/5/0	same
cpu-blas-cpu-dense-f64-v1-jacobi-prepared-fused0-host	dense-1024	native/numpy-out	1.864183	1.726260	1.07990	4/6/0	4/6/0	same
cpu-blas-cpu-dense-f64-v1-jacobi-prepared-fused0-host	dense-2048	native/numpy-out	11.152470	10.308947	1.08182	3/5/0	3/5/0	same
cpu-blas-cpu-dense-f64-v1-jacobi-prepared-fused0-host	dense-2048	native/torch-eager-out	11.152470	10.190689	1.09438	3/5/0	3/5/0	same
cpu-blas-cpu-dense-f64-v1-jacobi-prepared-fused0-host	dense-2048	native-blas/numpy-out	10.447604	10.308947	1.01345	3/5/0	3/5/0	same
cpu-blas-cpu-dense-f64-v1-jacobi-prepared-fused0-host	dense-2048	native-blas/torch-eager-out	10.447604	10.190689	1.02521	3/5/0	3/5/0	same
cpu-openmp-cpu-dense-f64-v1-none-api-fused1-host	dense-1024	native/numpy-out	12.283158	11.516861	1.06654	70/73/1	70/73/1	same
cpu-openmp-cpu-dense-f64-v1-none-api-fused1-host	dense-2048	native/numpy-out	90.669160	71.958069	1.26003	70/73/1	70/73/1	same
cpu-openmp-cpu-dense-f64-v1-none-prepared-fused1-host	dense-1024	native/numpy-out	14.538949	13.107376	1.10922	70/73/1	70/73/1	same
cpu-openmp-cpu-dense-f64-v1-none-prepared-fused1-host	dense-2048	native/numpy-out	101.712580	75.760981	1.34255	70/73/1	70/73/1	same
cpu-openmp-cpu-dense-f64-v1-none-prepared-fused1-host	dense-2048	native/torch-eager-out	101.712580	94.619034	1.07497	70/73/1	70/73/1	same
cpu-openmp-cpu-dense-f64-v1-jacobi-api-fused1-host	dense-256	native/numpy-out	0.079250	0.076524	1.03562	4/6/0	4/6/0	same
cpu-openmp-cpu-dense-f64-v1-jacobi-api-fused1-host	dense-2048	native/numpy-out	10.305668	7.704990	1.33753	3/5/0	3/5/0	same
cpu-openmp-cpu-dense-f64-v1-jacobi-api-fused1-host	dense-2048	native/torch-eager-out	10.305668	8.734395	1.17989	3/5/0	3/5/0	same
cpu-openmp-cpu-dense-f64-v1-jacobi-prepared-fused1-host	dense-2048	native/numpy-out	12.494393	10.876795	1.14872	3/5/0	3/5/0	same
cpu-release-sparse-solvers-none-api-fused1-host	scaled-poisson-2d-16	native-cg/scipy-lu-total	0.566271	0.456687	1.23995	597/610/11	0/1/unknown	unknown
cpu-release-sparse-solvers-none-api-fused1-host	scaled-poisson-2d-16	native-cg/scipy-lu-reuse	0.566271	0.051512	10.99293	597/610/11	0/1/unknown	unknown
cpu-release-sparse-solvers-none-api-fused1-host	scaled-poisson-2d-16	native-pcg/scipy-lu-reuse	0.092243	0.051512	1.79070	48/50/0	0/1/unknown	unknown
cpu-release-sparse-solvers-none-api-fused1-host	scaled-poisson-2d-32	native-cg/scipy-pcg	5.768379	2.010995	2.86842	1799/1836/35	90/91/unknown	unknown
cpu-release-sparse-solvers-none-api-fused1-host	scaled-poisson-2d-32	native-cg/scipy-lu-total	5.768379	1.850295	3.11755	1799/1836/35	0/1/unknown	unknown
cpu-release-sparse-solvers-none-api-fused1-host	scaled-poisson-2d-32	native-cg/scipy-lu-reuse	5.768379	0.161918	35.62537	1799/1836/35	0/1/unknown	unknown
cpu-release-sparse-solvers-none-api-fused1-host	scaled-poisson-2d-32	native-pcg/scipy-lu-reuse	0.548156	0.161918	3.38540	118/122/2	0/1/unknown	unknown
cpu-release-sparse-solvers-none-api-fused1-host	scaled-poisson-3d-6	native-cg/scipy-lu-reuse	0.247445	0.051081	4.84414	253/260/5	0/1/unknown	unknown
cpu-release-sparse-solvers-none-api-fused1-host	scaled-poisson-3d-6	native-pcg/scipy-lu-reuse	0.062159	0.051081	1.21686	24/26/0	0/1/unknown	unknown
cpu-release-sparse-solvers-none-api-fused1-host	scaled-poisson-3d-10	native-cg/scipy-pcg	1.600837	0.922748	1.73486	387/396/7	37/38/unknown	unknown
cpu-release-sparse-solvers-none-api-fused1-host	scaled-poisson-3d-10	native-cg/scipy-lu-reuse	1.600837	0.279344	5.73070	387/396/7	0/1/unknown	unknown
cpu-release-sparse-solvers-none-api-fused1-host	poisson-2d-16-neutral	native-cg/scipy-lu-reuse	0.072834	0.043793	1.66315	51/54/1	0/1/unknown	unknown
cpu-release-sparse-solvers-none-api-fused1-host	poisson-2d-16-neutral	native-pcg/scipy-lu-reuse	0.094036	0.043793	2.14730	51/54/1	0/1/unknown	unknown
cpu-release-sparse-solvers-none-prepared-fused1-host	scaled-poisson-2d-16	native-cg/scipy-lu-total	0.562015	0.448662	1.25265	597/610/11	0/1/unknown	unknown
cpu-release-sparse-solvers-none-prepared-fused1-host	scaled-poisson-2d-16	native-cg/scipy-lu-reuse	0.562015	0.053874	10.43193	597/610/11	0/1/unknown	unknown
cpu-release-sparse-solvers-none-prepared-fused1-host	scaled-poisson-2d-16	native-pcg/scipy-lu-reuse	0.075033	0.053874	1.39274	48/50/0	0/1/unknown	unknown
cpu-release-sparse-solvers-none-prepared-fused1-host	scaled-poisson-2d-32	native-cg/scipy-pcg	5.714016	1.874628	3.04808	1799/1836/35	90/91/unknown	unknown
cpu-release-sparse-solvers-none-prepared-fused1-host	scaled-poisson-2d-32	native-cg/scipy-lu-total	5.714016	1.987406	2.87511	1799/1836/35	0/1/unknown	unknown
cpu-release-sparse-solvers-none-prepared-fused1-host	scaled-poisson-2d-32	native-cg/scipy-lu-reuse	5.714016	0.184846	30.91231	1799/1836/35	0/1/unknown	unknown
cpu-release-sparse-solvers-none-prepared-fused1-host	scaled-poisson-2d-32	native-pcg/scipy-lu-reuse	0.502265	0.184846	2.71721	118/122/2	0/1/unknown	unknown
cpu-release-sparse-solvers-none-prepared-fused1-host	scaled-poisson-3d-6	native-cg/scipy-lu-reuse	0.227615	0.041420	5.49526	253/260/5	0/1/unknown	unknown
cpu-release-sparse-solvers-none-prepared-fused1-host	scaled-poisson-3d-10	native-cg/scipy-pcg	1.554626	0.875958	1.77477	387/396/7	37/38/unknown	unknown
cpu-release-sparse-solvers-none-prepared-fused1-host	scaled-poisson-3d-10	native-cg/scipy-lu-reuse	1.554626	0.279542	5.56133	387/396/7	0/1/unknown	unknown
cpu-release-sparse-solvers-none-prepared-fused1-host	poisson-2d-16-neutral	native-cg/scipy-lu-reuse	0.051486	0.028782	1.78883	51/54/1	0/1/unknown	unknown
cpu-release-sparse-solvers-none-prepared-fused1-host	poisson-2d-16-neutral	native-pcg/scipy-lu-reuse	0.059888	0.028782	2.08072	51/54/1	0/1/unknown	unknown
cuda-release-cuda-dense-f64-v1-jacobi-api-fused1-host	dense-64	cuda-cublas/torch-cuda-eager	3.287730	2.704691	1.21557	5/7/0	5/7/0	same
cuda-release-cuda-dense-f64-v1-jacobi-api-fused1-host	dense-256	cuda-cublas/torch-cuda-eager	3.130028	2.506757	1.24864	4/6/0	4/6/0	same
cuda-release-cuda-dense-f64-v1-jacobi-api-fused1-host	dense-1024	cuda-cublas/torch-cuda-eager	3.317847	2.594690	1.27871	4/6/0	4/6/0	same
cuda-release-cuda-dense-f64-v1-jacobi-api-fused1-host	dense-2048	cuda-cublas/torch-cuda-eager	3.858382	2.804317	1.37587	3/5/0	3/5/0	same
cuda-release-cuda-dense-f64-v1-jacobi-api-fused1-device	dense-64	cuda-cublas/torch-cuda-eager	2.771716	2.469720	1.12228	5/7/0	5/7/0	same
cuda-release-cuda-dense-f64-v1-jacobi-api-fused1-device	dense-256	cuda-cublas/torch-cuda-eager	2.710148	2.141640	1.26545	4/6/0	4/6/0	same
cuda-release-cuda-dense-f64-v1-jacobi-api-fused1-device	dense-1024	cuda-cublas/torch-cuda-eager	2.879996	2.165131	1.33017	4/6/0	4/6/0	same
cuda-release-cuda-dense-f64-v1-jacobi-api-fused1-device	dense-2048	cuda-cublas/torch-cuda-eager	3.000265	2.317655	1.29453	3/5/0	3/5/0	same

Complete per-configuration measurements

All 668 candidate rows follow. Forward/reverse ms are single-process medians; the reported median and range summarize those two medians. TrueR/tol is the largest independently measured residual-to-threshold ratio across both process outcomes.

cpu-release-cpu-dense-f64-v1-none-api-fused1-host

Case	Candidate	Forward ms	Reverse ms	Median ms	Process range ms	Reverse/forward	Forward I/M/R	Reverse I/M/R	Max TrueR/tol
dense-64	native	0.050589	0.049608	0.050098	0.049608–0.050589	0.98061	49/51/0	49/51/0	0.607749
dense-64	numpy-out	0.274377	0.282243	0.278309	0.274377–0.282243	1.02867	49/51/0	49/51/0	0.61272
dense-64	torch-eager-out	0.425265	0.471396	0.448331	0.425265–0.471396	1.10848	49/51/0	49/51/0	0.635707
dense-256	native	0.583891	0.533357	0.558624	0.533357–0.583891	0.91345	67/70/1	67/70/1	0.971216
dense-256	numpy-out	0.816049	0.767957	0.792003	0.767957–0.816049	0.94107	67/70/1	67/70/1	0.969964
dense-256	torch-eager-out	1.217837	1.131007	1.174422	1.131007–1.217837	0.92870	67/70/1	67/70/1	0.972357
dense-1024	native	10.263201	10.331992	10.297596	10.263201–10.331992	1.00670	70/73/1	70/73/1	0.928014
dense-1024	numpy-out	10.556204	11.000840	10.778522	10.556204–11.000840	1.04212	70/73/1	70/73/1	0.928014
dense-1024	torch-eager-out	11.625245	12.452298	12.038771	11.625245–12.452298	1.07114	70/73/1	70/73/1	0.928014
dense-2048	native	129.604324	136.896141	133.250233	129.604324–136.896141	1.05626	70/73/1	70/73/1	0.871762
dense-2048	numpy-out	108.713886	121.223572	114.968729	108.713886–121.223572	1.11507	70/73/1	70/73/1	0.871762
dense-2048	torch-eager-out	106.472242	128.192722	117.332482	106.472242–128.192722	1.20400	70/73/1	70/73/1	0.871762

cpu-release-cpu-dense-f64-v1-none-api-fused0-host

Case	Candidate	Forward ms	Reverse ms	Median ms	Process range ms	Reverse/forward	Forward I/M/R	Reverse I/M/R	Max TrueR/tol
dense-64	native	0.050617	0.065831	0.058224	0.050617–0.065831	1.30056	49/51/0	49/51/0	0.607749
dense-64	numpy-out	0.266272	0.343811	0.305042	0.266272–0.343811	1.29120	49/51/0	49/51/0	0.61272
dense-64	torch-eager-out	0.421787	0.557095	0.489441	0.421787–0.557095	1.32080	49/51/0	49/51/0	0.635707
dense-256	native	0.569477	0.614353	0.591916	0.569477–0.614353	1.07880	67/70/1	67/70/1	0.971216
dense-256	numpy-out	0.921752	0.979056	0.950404	0.921752–0.979056	1.06217	67/70/1	67/70/1	0.969964
dense-256	torch-eager-out	1.211672	1.420653	1.316162	1.211672–1.420653	1.17247	67/70/1	67/70/1	0.972357
dense-1024	native	10.062846	10.870784	10.466815	10.062846–10.870784	1.08029	70/73/1	70/73/1	0.928014
dense-1024	numpy-out	10.761135	11.356390	11.058762	10.761135–11.356390	1.05532	70/73/1	70/73/1	0.928014
dense-1024	torch-eager-out	12.078561	12.822276	12.450418	12.078561–12.822276	1.06157	70/73/1	70/73/1	0.928014
dense-2048	native	117.446623	121.645064	119.545844	117.446623–121.645064	1.03575	70/73/1	70/73/1	0.871762
dense-2048	numpy-out	98.183524	100.209098	99.196311	98.183524–100.209098	1.02063	70/73/1	70/73/1	0.871762
dense-2048	torch-eager-out	101.036497	102.844067	101.940282	101.036497–102.844067	1.01789	70/73/1	70/73/1	0.871762

cpu-release-cpu-dense-f64-v1-none-prepared-fused1-host

Case	Candidate	Forward ms	Reverse ms	Median ms	Process range ms	Reverse/forward	Forward I/M/R	Reverse I/M/R	Max TrueR/tol
dense-64	native	0.040063	0.041937	0.041000	0.040063–0.041937	1.04676	49/51/0	49/51/0	0.607749
dense-64	numpy-out	0.269653	0.281983	0.275818	0.269653–0.281983	1.04573	49/51/0	49/51/0	0.61272
dense-64	torch-eager-out	0.447479	0.492793	0.470136	0.447479–0.492793	1.10127	49/51/0	49/51/0	0.635707
dense-256	native	0.500435	0.491074	0.495754	0.491074–0.500435	0.98129	67/70/1	67/70/1	0.971216
dense-256	numpy-out	0.921965	0.849639	0.885802	0.849639–0.921965	0.92155	67/70/1	67/70/1	0.969964
dense-256	torch-eager-out	1.159045	1.041246	1.100145	1.041246–1.159045	0.89837	67/70/1	67/70/1	0.972357
dense-1024	native	12.051404	12.425268	12.238336	12.051404–12.425268	1.03102	70/73/1	70/73/1	0.928014
dense-1024	numpy-out	12.574818	12.499436	12.537128	12.499436–12.574818	0.99401	70/73/1	70/73/1	0.928014
dense-1024	torch-eager-out	13.970036	14.309067	14.139551	13.970036–14.309067	1.02427	70/73/1	70/73/1	0.928014
dense-2048	native	138.492134	126.468780	132.480457	126.468780–138.492134	0.91318	70/73/1	70/73/1	0.871762
dense-2048	numpy-out	114.493167	105.236658	109.864913	105.236658–114.493167	0.91915	70/73/1	70/73/1	0.871762
dense-2048	torch-eager-out	130.219097	119.672988	124.946043	119.672988–130.219097	0.91901	70/73/1	70/73/1	0.871762

cpu-release-cpu-dense-f64-v1-none-prepared-fused0-host

Case	Candidate	Forward ms	Reverse ms	Median ms	Process range ms	Reverse/forward	Forward I/M/R	Reverse I/M/R	Max TrueR/tol
dense-64	native	0.042717	0.046120	0.044418	0.042717–0.046120	1.07965	49/51/0	49/51/0	0.607749
dense-64	numpy-out	0.278622	0.308964	0.293793	0.278622–0.308964	1.10890	49/51/0	49/51/0	0.61272
dense-64	torch-eager-out	0.439085	0.529401	0.484243	0.439085–0.529401	1.20569	49/51/0	49/51/0	0.635707
dense-256	native	0.470108	0.535496	0.502802	0.470108–0.535496	1.13909	67/70/1	67/70/1	0.971216
dense-256	numpy-out	0.800376	0.904173	0.852274	0.800376–0.904173	1.12969	67/70/1	67/70/1	0.969964
dense-256	torch-eager-out	0.972432	1.174504	1.073468	0.972432–1.174504	1.20780	67/70/1	67/70/1	0.972357
dense-1024	native	12.530190	13.425578	12.977884	12.530190–13.425578	1.07146	70/73/1	70/73/1	0.928014
dense-1024	numpy-out	12.885563	13.654557	13.270060	12.885563–13.654557	1.05968	70/73/1	70/73/1	0.928014
dense-1024	torch-eager-out	14.251731	15.625897	14.938814	14.251731–15.625897	1.09642	70/73/1	70/73/1	0.928014
dense-2048	native	116.015233	152.675381	134.345307	116.015233–152.675381	1.31599	70/73/1	70/73/1	0.871762
dense-2048	numpy-out	97.316035	112.861401	105.088718	97.316035–112.861401	1.15974	70/73/1	70/73/1	0.871762
dense-2048	torch-eager-out	106.375054	132.148684	119.261869	106.375054–132.148684	1.24229	70/73/1	70/73/1	0.871762

cpu-release-cpu-dense-f64-v1-jacobi-api-fused1-host

Case	Candidate	Forward ms	Reverse ms	Median ms	Process range ms	Reverse/forward	Forward I/M/R	Reverse I/M/R	Max TrueR/tol
dense-64	native	0.016102	0.027731	0.021917	0.016102–0.027731	1.72219	5/7/0	5/7/0	0.0796191
dense-64	numpy-out	0.044175	0.065918	0.055046	0.044175–0.065918	1.49220	5/7/0	5/7/0	0.0796191
dense-64	torch-eager-out	0.076211	0.138986	0.107598	0.076211–0.138986	1.82369	5/7/0	5/7/0	0.0796191
dense-256	native	0.076865	0.048633	0.062749	0.048633–0.076865	0.63270	4/6/0	4/6/0	0.209854
dense-256	numpy-out	0.111382	0.064640	0.088011	0.064640–0.111382	0.58035	4/6/0	4/6/0	0.209854
dense-256	torch-eager-out	0.201485	0.100276	0.150880	0.100276–0.201485	0.49768	4/6/0	4/6/0	0.209854
dense-1024	native	1.172178	0.978461	1.075319	0.978461–1.172178	0.83474	4/6/0	4/6/0	0.013684
dense-1024	numpy-out	1.356137	1.089579	1.222858	1.089579–1.356137	0.80344	4/6/0	4/6/0	0.013684
dense-1024	torch-eager-out	1.634070	1.323235	1.478652	1.323235–1.634070	0.80978	4/6/0	4/6/0	0.013684
dense-2048	native	9.863568	7.970938	8.917253	7.970938–9.863568	0.80812	3/5/0	3/5/0	0.836412
dense-2048	numpy-out	7.460780	8.482249	7.971514	7.460780–8.482249	1.13691	3/5/0	3/5/0	0.836412
dense-2048	torch-eager-out	8.377263	7.761186	8.069224	7.761186–8.377263	0.92646	3/5/0	3/5/0	0.836412

cpu-release-cpu-dense-f64-v1-jacobi-api-fused0-host

Case	Candidate	Forward ms	Reverse ms	Median ms	Process range ms	Reverse/forward	Forward I/M/R	Reverse I/M/R	Max TrueR/tol
dense-64	native	0.020803	0.020701	0.020752	0.020701–0.020803	0.99507	5/7/0	5/7/0	0.0796191
dense-64	numpy-out	0.071941	0.063525	0.067733	0.063525–0.071941	0.88302	5/7/0	5/7/0	0.0796191
dense-64	torch-eager-out	0.156307	0.115942	0.136125	0.115942–0.156307	0.74176	5/7/0	5/7/0	0.0796191
dense-256	native	0.068527	0.050184	0.059355	0.050184–0.068527	0.73234	4/6/0	4/6/0	0.209854
dense-256	numpy-out	0.098479	0.064352	0.081415	0.064352–0.098479	0.65345	4/6/0	4/6/0	0.209854
dense-256	torch-eager-out	0.175479	0.114980	0.145229	0.114980–0.175479	0.65524	4/6/0	4/6/0	0.209854
dense-1024	native	1.322199	0.997249	1.159724	0.997249–1.322199	0.75424	4/6/0	4/6/0	0.013684
dense-1024	numpy-out	1.379174	1.098027	1.238601	1.098027–1.379174	0.79615	4/6/0	4/6/0	0.013684
dense-1024	torch-eager-out	1.644464	1.368481	1.506473	1.368481–1.644464	0.83217	4/6/0	4/6/0	0.013684
dense-2048	native	8.907108	8.246427	8.576768	8.246427–8.907108	0.92583	3/5/0	3/5/0	0.836412
dense-2048	numpy-out	7.505701	8.785259	8.145480	7.505701–8.785259	1.17048	3/5/0	3/5/0	0.836412
dense-2048	torch-eager-out	10.167063	7.130846	8.648955	7.130846–10.167063	0.70137	3/5/0	3/5/0	0.836412

cpu-release-cpu-dense-f64-v1-jacobi-prepared-fused1-host

Case	Candidate	Forward ms	Reverse ms	Median ms	Process range ms	Reverse/forward	Forward I/M/R	Reverse I/M/R	Max TrueR/tol
dense-64	native	0.009305	0.009268	0.009287	0.009268–0.009305	0.99597	5/7/0	5/7/0	0.0796191
dense-64	numpy-out	0.050819	0.046746	0.048782	0.046746–0.050819	0.91985	5/7/0	5/7/0	0.0796191
dense-64	torch-eager-out	0.090208	0.088741	0.089475	0.088741–0.090208	0.98373	5/7/0	5/7/0	0.0796191
dense-256	native	0.058610	0.058899	0.058755	0.058610–0.058899	1.00493	4/6/0	4/6/0	0.209854
dense-256	numpy-out	0.077350	0.101597	0.089473	0.077350–0.101597	1.31347	4/6/0	4/6/0	0.209854
dense-256	torch-eager-out	0.110781	0.145580	0.128180	0.110781–0.145580	1.31413	4/6/0	4/6/0	0.209854
dense-1024	native	1.495202	1.424200	1.459701	1.424200–1.495202	0.95251	4/6/0	4/6/0	0.013684
dense-1024	numpy-out	1.454393	1.351657	1.403025	1.351657–1.454393	0.92936	4/6/0	4/6/0	0.013684
dense-1024	torch-eager-out	1.683917	1.522064	1.602990	1.522064–1.683917	0.90388	4/6/0	4/6/0	0.013684
dense-2048	native	10.129389	10.784935	10.457162	10.129389–10.784935	1.06472	3/5/0	3/5/0	0.836412
dense-2048	numpy-out	6.969513	7.782814	7.376163	6.969513–7.782814	1.11669	3/5/0	3/5/0	0.836412
dense-2048	torch-eager-out	8.576457	7.040115	7.808286	7.040115–8.576457	0.82087	3/5/0	3/5/0	0.836412

cpu-release-cpu-dense-f64-v1-jacobi-prepared-fused0-host

Case	Candidate	Forward ms	Reverse ms	Median ms	Process range ms	Reverse/forward	Forward I/M/R	Reverse I/M/R	Max TrueR/tol
dense-64	native	0.008143	0.011373	0.009758	0.008143–0.011373	1.39664	5/7/0	5/7/0	0.0796191
dense-64	numpy-out	0.030625	0.058293	0.044459	0.030625–0.058293	1.90346	5/7/0	5/7/0	0.0796191
dense-64	torch-eager-out	0.047711	0.112388	0.080049	0.047711–0.112388	2.35556	5/7/0	5/7/0	0.0796191
dense-256	native	0.052291	0.045480	0.048886	0.045480–0.052291	0.86974	4/6/0	4/6/0	0.209854
dense-256	numpy-out	0.085148	0.066389	0.075768	0.066389–0.085148	0.77969	4/6/0	4/6/0	0.209854
dense-256	torch-eager-out	0.117332	0.107577	0.112454	0.107577–0.117332	0.91686	4/6/0	4/6/0	0.209854
dense-1024	native	1.442635	1.535851	1.489243	1.442635–1.535851	1.06461	4/6/0	4/6/0	0.013684
dense-1024	numpy-out	1.500218	1.335986	1.418102	1.335986–1.500218	0.89053	4/6/0	4/6/0	0.013684
dense-1024	torch-eager-out	1.602432	1.791591	1.697011	1.602432–1.791591	1.11804	4/6/0	4/6/0	0.013684
dense-2048	native	10.840718	7.684000	9.262359	7.684000–10.840718	0.70881	3/5/0	3/5/0	0.836412
dense-2048	numpy-out	8.890513	7.241622	8.066068	7.241622–8.890513	0.81453	3/5/0	3/5/0	0.836412
dense-2048	torch-eager-out	12.059352	7.158016	9.608684	7.158016–12.059352	0.59357	3/5/0	3/5/0	0.836412

cpu-blas-cpu-dense-f64-v1-none-api-fused1-host

Case	Candidate	Forward ms	Reverse ms	Median ms	Process range ms	Reverse/forward	Forward I/M/R	Reverse I/M/R	Max TrueR/tol
dense-64	native	0.053525	0.039368	0.046447	0.039368–0.053525	0.73550	49/51/0	49/51/0	0.607749
dense-64	native-blas	0.047697	0.040835	0.044265	0.040835–0.047697	0.85613	49/51/0	49/51/0	0.612054
dense-64	numpy-out	0.305694	0.260435	0.283065	0.260435–0.305694	0.85195	49/51/0	49/51/0	0.61272
dense-64	torch-eager-out	0.513709	0.406396	0.460052	0.406396–0.513709	0.79110	49/51/0	49/51/0	0.635707
dense-256	native	0.468253	0.489287	0.478770	0.468253–0.489287	1.04492	67/70/1	67/70/1	0.971216
dense-256	native-blas	0.483517	0.346407	0.414963	0.346407–0.483517	0.71643	67/70/1	67/70/1	0.979189
dense-256	numpy-out	0.882363	0.729287	0.805825	0.729287–0.882363	0.82652	67/70/1	67/70/1	0.969964
dense-256	torch-eager-out	1.168486	0.945461	1.056973	0.945461–1.168486	0.80913	67/70/1	67/70/1	0.972357
dense-1024	native	9.383907	10.308972	9.846440	9.383907–10.308972	1.09858	70/73/1	70/73/1	0.928014
dense-1024	native-blas	9.079334	9.296114	9.187724	9.079334–9.296114	1.02388	70/73/1	70/73/1	0.928014
dense-1024	numpy-out	10.282751	11.168822	10.725787	10.282751–11.168822	1.08617	70/73/1	70/73/1	0.928014
dense-1024	torch-eager-out	11.824490	12.324386	12.074438	11.824490–12.324386	1.04228	70/73/1	70/73/1	0.928014
dense-2048	native	139.178176	126.689007	132.933591	126.689007–139.178176	0.91026	70/73/1	70/73/1	0.871762
dense-2048	native-blas	119.352720	111.242902	115.297811	111.242902–119.352720	0.93205	70/73/1	70/73/1	0.871762
dense-2048	numpy-out	121.711591	118.226140	119.968866	118.226140–121.711591	0.97136	70/73/1	70/73/1	0.871762
dense-2048	torch-eager-out	129.235583	122.880358	126.057971	122.880358–129.235583	0.95082	70/73/1	70/73/1	0.871762

cpu-blas-cpu-dense-f64-v1-none-api-fused0-host

Case	Candidate	Forward ms	Reverse ms	Median ms	Process range ms	Reverse/forward	Forward I/M/R	Reverse I/M/R	Max TrueR/tol
dense-64	native	0.043864	0.055230	0.049547	0.043864–0.055230	1.25911	49/51/0	49/51/0	0.607749
dense-64	native-blas	0.045482	0.048628	0.047055	0.045482–0.048628	1.06919	49/51/0	49/51/0	0.612054
dense-64	numpy-out	0.268346	0.310850	0.289598	0.268346–0.310850	1.15839	49/51/0	49/51/0	0.61272
dense-64	torch-eager-out	0.424707	0.515177	0.469942	0.424707–0.515177	1.21302	49/51/0	49/51/0	0.635707
dense-256	native	0.492723	0.552494	0.522608	0.492723–0.552494	1.12131	67/70/1	67/70/1	0.971216
dense-256	native-blas	0.359643	0.381453	0.370548	0.359643–0.381453	1.06064	67/70/1	67/70/1	0.979189
dense-256	numpy-out	0.743630	0.817676	0.780653	0.743630–0.817676	1.09957	67/70/1	67/70/1	0.969964
dense-256	torch-eager-out	1.033114	1.215331	1.124223	1.033114–1.215331	1.17638	67/70/1	67/70/1	0.972357
dense-1024	native	10.395900	10.586603	10.491252	10.395900–10.586603	1.01834	70/73/1	70/73/1	0.928014
dense-1024	native-blas	8.943068	9.835743	9.389406	8.943068–9.835743	1.09982	70/73/1	70/73/1	0.928014
dense-1024	numpy-out	10.903348	10.711827	10.807588	10.711827–10.903348	0.98243	70/73/1	70/73/1	0.928014
dense-1024	torch-eager-out	12.564355	12.827360	12.695858	12.564355–12.827360	1.02093	70/73/1	70/73/1	0.928014
dense-2048	native	121.507041	114.286919	117.896980	114.286919–121.507041	0.94058	70/73/1	70/73/1	0.871762
dense-2048	native-blas	100.240492	98.319106	99.279799	98.319106–100.240492	0.98083	70/73/1	70/73/1	0.871762
dense-2048	numpy-out	108.567942	104.046502	106.307222	104.046502–108.567942	0.95835	70/73/1	70/73/1	0.871762
dense-2048	torch-eager-out	113.232318	111.142831	112.187574	111.142831–113.232318	0.98155	70/73/1	70/73/1	0.871762

cpu-blas-cpu-dense-f64-v1-none-prepared-fused1-host

Case	Candidate	Forward ms	Reverse ms	Median ms	Process range ms	Reverse/forward	Forward I/M/R	Reverse I/M/R	Max TrueR/tol
dense-64	native	0.043214	0.039928	0.041571	0.039928–0.043214	0.92398	49/51/0	49/51/0	0.607749
dense-64	native-blas	0.040933	0.036040	0.038486	0.036040–0.040933	0.88045	49/51/0	49/51/0	0.612054
dense-64	numpy-out	0.331375	0.334884	0.333130	0.331375–0.334884	1.01059	49/51/0	49/51/0	0.61272
dense-64	torch-eager-out	0.555198	0.517583	0.536390	0.517583–0.555198	0.93225	49/51/0	49/51/0	0.635707
dense-256	native	0.581584	0.575875	0.578730	0.575875–0.581584	0.99018	67/70/1	67/70/1	0.971216
dense-256	native-blas	0.552561	0.374275	0.463418	0.374275–0.552561	0.67735	67/70/1	67/70/1	0.979189
dense-256	numpy-out	0.972070	1.011027	0.991549	0.972070–1.011027	1.04008	67/70/1	67/70/1	0.969964
dense-256	torch-eager-out	1.301757	1.295851	1.298804	1.295851–1.301757	0.99546	67/70/1	67/70/1	0.972357
dense-1024	native	14.434668	14.578450	14.506559	14.434668–14.578450	1.00996	70/73/1	70/73/1	0.928014
dense-1024	native-blas	13.303029	13.041578	13.172303	13.041578–13.303029	0.98035	70/73/1	70/73/1	0.928014
dense-1024	numpy-out	14.826606	14.761462	14.794034	14.761462–14.826606	0.99561	70/73/1	70/73/1	0.928014
dense-1024	torch-eager-out	16.878217	16.316642	16.597430	16.316642–16.878217	0.96673	70/73/1	70/73/1	0.928014
dense-2048	native	130.347935	134.346404	132.347169	130.347935–134.346404	1.03068	70/73/1	70/73/1	0.871762
dense-2048	native-blas	113.307170	115.556966	114.432068	113.307170–115.556966	1.01986	70/73/1	70/73/1	0.871762
dense-2048	numpy-out	118.402690	113.103144	115.752917	113.103144–118.402690	0.95524	70/73/1	70/73/1	0.871762
dense-2048	torch-eager-out	124.742797	131.191875	127.967336	124.742797–131.191875	1.05170	70/73/1	70/73/1	0.871762

cpu-blas-cpu-dense-f64-v1-none-prepared-fused0-host

Case	Candidate	Forward ms	Reverse ms	Median ms	Process range ms	Reverse/forward	Forward I/M/R	Reverse I/M/R	Max TrueR/tol
dense-64	native	0.046344	0.045989	0.046166	0.045989–0.046344	0.99232	49/51/0	49/51/0	0.607749
dense-64	native-blas	0.037699	0.032557	0.035128	0.032557–0.037699	0.86360	49/51/0	49/51/0	0.612054
dense-64	numpy-out	0.305907	0.298156	0.302031	0.298156–0.305907	0.97466	49/51/0	49/51/0	0.61272
dense-64	torch-eager-out	0.509519	0.520110	0.514814	0.509519–0.520110	1.02079	49/51/0	49/51/0	0.635707
dense-256	native	0.546888	0.498870	0.522880	0.498870–0.546888	0.91220	67/70/1	67/70/1	0.971216
dense-256	native-blas	0.377406	0.335495	0.356451	0.335495–0.377406	0.88895	67/70/1	67/70/1	0.979189
dense-256	numpy-out	0.946373	0.838908	0.892640	0.838908–0.946373	0.88645	67/70/1	67/70/1	0.969964
dense-256	torch-eager-out	1.182116	1.009961	1.096039	1.009961–1.182116	0.85437	67/70/1	67/70/1	0.972357
dense-1024	native	12.981480	13.294125	13.137803	12.981480–13.294125	1.02408	70/73/1	70/73/1	0.928014
dense-1024	native-blas	12.155437	12.528750	12.342094	12.155437–12.528750	1.03071	70/73/1	70/73/1	0.928014
dense-1024	numpy-out	13.520736	13.351536	13.436136	13.351536–13.520736	0.98749	70/73/1	70/73/1	0.928014
dense-1024	torch-eager-out	15.235684	14.947266	15.091475	14.947266–15.235684	0.98107	70/73/1	70/73/1	0.928014
dense-2048	native	129.217569	153.609262	141.413416	129.217569–153.609262	1.18876	70/73/1	70/73/1	0.871762
dense-2048	native-blas	106.649608	111.735711	109.192660	106.649608–111.735711	1.04769	70/73/1	70/73/1	0.871762
dense-2048	numpy-out	111.037550	114.455608	112.746579	111.037550–114.455608	1.03078	70/73/1	70/73/1	0.871762
dense-2048	torch-eager-out	106.761567	120.937522	113.849544	106.761567–120.937522	1.13278	70/73/1	70/73/1	0.871762

cpu-blas-cpu-dense-f64-v1-jacobi-api-fused1-host

Case	Candidate	Forward ms	Reverse ms	Median ms	Process range ms	Reverse/forward	Forward I/M/R	Reverse I/M/R	Max TrueR/tol
dense-64	native	0.012939	0.014642	0.013791	0.012939–0.014642	1.13161	5/7/0	5/7/0	0.0796191
dense-64	native-blas	0.014404	0.017907	0.016156	0.014404–0.017907	1.24323	5/7/0	5/7/0	0.0796191
dense-64	numpy-out	0.044361	0.072469	0.058415	0.044361–0.072469	1.63362	5/7/0	5/7/0	0.0796191
dense-64	torch-eager-out	0.077462	0.135730	0.106595	0.077462–0.135730	1.75222	5/7/0	5/7/0	0.0796191
dense-256	native	0.060484	0.065600	0.063042	0.060484–0.065600	1.08457	4/6/0	4/6/0	0.209854
dense-256	native-blas	0.042458	0.066055	0.054256	0.042458–0.066055	1.55579	4/6/0	4/6/0	0.209854
dense-256	numpy-out	0.090227	0.109854	0.100041	0.090227–0.109854	1.21753	4/6/0	4/6/0	0.209854
dense-256	torch-eager-out	0.154482	0.205096	0.179789	0.154482–0.205096	1.32764	4/6/0	4/6/0	0.209854
dense-1024	native	0.968295	1.181615	1.074955	0.968295–1.181615	1.22030	4/6/0	4/6/0	0.013684
dense-1024	native-blas	0.955680	1.133167	1.044423	0.955680–1.133167	1.18572	4/6/0	4/6/0	0.013684
dense-1024	numpy-out	1.089816	1.184227	1.137021	1.089816–1.184227	1.08663	4/6/0	4/6/0	0.013684
dense-1024	torch-eager-out	1.312776	1.593068	1.452922	1.312776–1.593068	1.21351	4/6/0	4/6/0	0.013684
dense-2048	native	7.716738	7.266113	7.491425	7.266113–7.716738	0.94160	3/5/0	3/5/0	0.836412
dense-2048	native-blas	6.607337	6.433462	6.520399	6.433462–6.607337	0.97368	3/5/0	3/5/0	0.836412
dense-2048	numpy-out	6.792844	6.813153	6.802998	6.792844–6.813153	1.00299	3/5/0	3/5/0	0.836412
dense-2048	torch-eager-out	7.705364	8.421064	8.063214	7.705364–8.421064	1.09288	3/5/0	3/5/0	0.836412

cpu-blas-cpu-dense-f64-v1-jacobi-api-fused0-host

Case	Candidate	Forward ms	Reverse ms	Median ms	Process range ms	Reverse/forward	Forward I/M/R	Reverse I/M/R	Max TrueR/tol
dense-64	native	0.018052	0.021626	0.019839	0.018052–0.021626	1.19802	5/7/0	5/7/0	0.0796191
dense-64	native-blas	0.019854	0.024927	0.022390	0.019854–0.024927	1.25549	5/7/0	5/7/0	0.0796191
dense-64	numpy-out	0.057590	0.086868	0.072229	0.057590–0.086868	1.50840	5/7/0	5/7/0	0.0796191
dense-64	torch-eager-out	0.121066	0.162775	0.141921	0.121066–0.162775	1.34452	5/7/0	5/7/0	0.0796191
dense-256	native	0.051174	0.075386	0.063280	0.051174–0.075386	1.47312	4/6/0	4/6/0	0.209854
dense-256	native-blas	0.041072	0.063065	0.052069	0.041072–0.063065	1.53549	4/6/0	4/6/0	0.209854
dense-256	numpy-out	0.077878	0.112239	0.095058	0.077878–0.112239	1.44122	4/6/0	4/6/0	0.209854
dense-256	torch-eager-out	0.144300	0.206072	0.175186	0.144300–0.206072	1.42808	4/6/0	4/6/0	0.209854
dense-1024	native	0.952948	1.114768	1.033858	0.952948–1.114768	1.16981	4/6/0	4/6/0	0.013684
dense-1024	native-blas	0.928964	1.065311	0.997138	0.928964–1.065311	1.14677	4/6/0	4/6/0	0.013684
dense-1024	numpy-out	1.070072	1.296002	1.183037	1.070072–1.296002	1.21114	4/6/0	4/6/0	0.013684
dense-1024	torch-eager-out	1.338801	1.500650	1.419726	1.338801–1.500650	1.12089	4/6/0	4/6/0	0.013684
dense-2048	native	7.480561	8.134920	7.807740	7.480561–8.134920	1.08747	3/5/0	3/5/0	0.836412
dense-2048	native-blas	5.971742	8.342902	7.157322	5.971742–8.342902	1.39706	3/5/0	3/5/0	0.836412
dense-2048	numpy-out	6.138254	9.210529	7.674391	6.138254–9.210529	1.50051	3/5/0	3/5/0	0.836412
dense-2048	torch-eager-out	7.366924	9.862422	8.614673	7.366924–9.862422	1.33874	3/5/0	3/5/0	0.836412

cpu-blas-cpu-dense-f64-v1-jacobi-prepared-fused1-host

Case	Candidate	Forward ms	Reverse ms	Median ms	Process range ms	Reverse/forward	Forward I/M/R	Reverse I/M/R	Max TrueR/tol
dense-64	native	0.009880	0.008651	0.009266	0.008651–0.009880	0.87566	5/7/0	5/7/0	0.0796191
dense-64	native-blas	0.009879	0.008495	0.009187	0.008495–0.009879	0.85990	5/7/0	5/7/0	0.0796191
dense-64	numpy-out	0.057813	0.049426	0.053620	0.049426–0.057813	0.85492	5/7/0	5/7/0	0.0796191
dense-64	torch-eager-out	0.109567	0.080148	0.094858	0.080148–0.109567	0.73150	5/7/0	5/7/0	0.0796191
dense-256	native	0.041719	0.057737	0.049728	0.041719–0.057737	1.38393	4/6/0	4/6/0	0.209854
dense-256	native-blas	0.033060	0.050499	0.041779	0.033060–0.050499	1.52746	4/6/0	4/6/0	0.209854
dense-256	numpy-out	0.065851	0.099066	0.082458	0.065851–0.099066	1.50440	4/6/0	4/6/0	0.209854
dense-256	torch-eager-out	0.084765	0.150554	0.117659	0.084765–0.150554	1.77613	4/6/0	4/6/0	0.209854
dense-1024	native	1.575236	1.664069	1.619652	1.575236–1.664069	1.05639	4/6/0	4/6/0	0.013684
dense-1024	native-blas	1.256692	1.657712	1.457202	1.256692–1.657712	1.31911	4/6/0	4/6/0	0.013684
dense-1024	numpy-out	1.520336	1.674641	1.597488	1.520336–1.674641	1.10149	4/6/0	4/6/0	0.013684
dense-1024	torch-eager-out	1.740174	2.007630	1.873902	1.740174–2.007630	1.15370	4/6/0	4/6/0	0.013684
dense-2048	native	10.000932	10.852593	10.426763	10.000932–10.852593	1.08516	3/5/0	3/5/0	0.836412
dense-2048	native-blas	9.810232	10.174018	9.992125	9.810232–10.174018	1.03708	3/5/0	3/5/0	0.836412
dense-2048	numpy-out	8.603800	8.310184	8.456992	8.310184–8.603800	0.96587	3/5/0	3/5/0	0.836412
dense-2048	torch-eager-out	8.327561	8.400799	8.364180	8.327561–8.400799	1.00879	3/5/0	3/5/0	0.836412

cpu-blas-cpu-dense-f64-v1-jacobi-prepared-fused0-host

Case	Candidate	Forward ms	Reverse ms	Median ms	Process range ms	Reverse/forward	Forward I/M/R	Reverse I/M/R	Max TrueR/tol
dense-64	native	0.007410	0.007789	0.007599	0.007410–0.007789	1.05122	5/7/0	5/7/0	0.0796191
dense-64	native-blas	0.007430	0.007502	0.007466	0.007430–0.007502	1.00956	5/7/0	5/7/0	0.0796191
dense-64	numpy-out	0.031887	0.032828	0.032358	0.031887–0.032828	1.02949	5/7/0	5/7/0	0.0796191
dense-64	torch-eager-out	0.050237	0.053567	0.051902	0.050237–0.053567	1.06628	5/7/0	5/7/0	0.0796191
dense-256	native	0.043449	0.058312	0.050880	0.043449–0.058312	1.34207	4/6/0	4/6/0	0.209854
dense-256	native-blas	0.041952	0.058560	0.050256	0.041952–0.058560	1.39588	4/6/0	4/6/0	0.209854
dense-256	numpy-out	0.060811	0.087112	0.073962	0.060811–0.087112	1.43251	4/6/0	4/6/0	0.209854
dense-256	torch-eager-out	0.082849	0.148594	0.115722	0.082849–0.148594	1.79357	4/6/0	4/6/0	0.209854
dense-1024	native	1.731756	1.996609	1.864183	1.731756–1.996609	1.15294	4/6/0	4/6/0	0.013684
dense-1024	native-blas	1.521902	1.585338	1.553620	1.521902–1.585338	1.04168	4/6/0	4/6/0	0.013684
dense-1024	numpy-out	1.790915	1.661606	1.726260	1.661606–1.790915	0.92780	4/6/0	4/6/0	0.013684
dense-1024	torch-eager-out	2.032251	2.223143	2.127697	2.032251–2.223143	1.09393	4/6/0	4/6/0	0.013684
dense-2048	native	10.569294	11.735644	11.152470	10.569294–11.735644	1.11035	3/5/0	3/5/0	0.836412
dense-2048	native-blas	10.259472	10.635735	10.447604	10.259472–10.635735	1.03667	3/5/0	3/5/0	0.836412
dense-2048	numpy-out	10.515744	10.102151	10.308947	10.102151–10.515744	0.96067	3/5/0	3/5/0	0.836412
dense-2048	torch-eager-out	9.604243	10.777135	10.190689	9.604243–10.777135	1.12212	3/5/0	3/5/0	0.836412

cpu-release-cpu-csr-f64-v1-none-api-fused1-host

Case	Candidate	Forward ms	Reverse ms	Median ms	Process range ms	Reverse/forward	Forward I/M/R	Reverse I/M/R	Max TrueR/tol
poisson-8	native	0.025326	0.026416	0.025871	0.025326–0.026416	1.04300	26/28/0	26/28/0	0.579621
poisson-8	scipy-out	0.259256	0.198120	0.228688	0.198120–0.259256	0.76419	26/28/0	26/28/0	0.579621
poisson-8	torch-eager-out	0.362777	0.247992	0.305385	0.247992–0.362777	0.68359	26/28/0	26/28/0	0.579621
poisson-32	native	0.437107	0.426339	0.431723	0.426339–0.437107	0.97536	118/122/2	118/122/2	0.840189
poisson-32	scipy-out	1.766803	1.587707	1.677255	1.587707–1.766803	0.89863	118/122/2	118/122/2	0.840189
poisson-32	torch-eager-out	1.635541	1.565416	1.600478	1.565416–1.635541	0.95712	118/122/2	118/122/2	0.840189
poisson-64	native	2.527417	2.383729	2.455573	2.383729–2.527417	0.94315	201/207/4	201/207/4	0.907427
poisson-64	scipy-out	6.358015	5.602874	5.980444	5.602874–6.358015	0.88123	201/207/4	201/207/4	0.907427
poisson-64	torch-eager-out	5.467104	4.652737	5.059921	4.652737–5.467104	0.85104	201/207/4	201/207/4	0.907427
poisson-128	native	28.823542	29.507218	29.165380	28.823542–29.507218	1.02372	627/641/12	627/641/12	0.989568
poisson-128	scipy-out	59.529992	58.415465	58.972729	58.415465–59.529992	0.98128	627/641/12	627/641/12	0.989568
poisson-128	torch-eager-out	42.324429	43.920038	43.122234	42.324429–43.920038	1.03770	627/641/12	627/641/12	0.989568

cpu-release-cpu-csr-f64-v1-none-prepared-fused1-host

Case	Candidate	Forward ms	Reverse ms	Median ms	Process range ms	Reverse/forward	Forward I/M/R	Reverse I/M/R	Max TrueR/tol
poisson-8	native	0.012954	0.014412	0.013683	0.012954–0.014412	1.11251	26/28/0	26/28/0	0.579621
poisson-8	scipy-out	0.183952	0.185022	0.184487	0.183952–0.185022	1.00581	26/28/0	26/28/0	0.579621
poisson-8	torch-eager-out	0.232786	0.248907	0.240846	0.232786–0.248907	1.06925	26/28/0	26/28/0	0.579621
poisson-32	native	0.341132	0.396581	0.368856	0.341132–0.396581	1.16254	118/122/2	118/122/2	0.840189
poisson-32	scipy-out	1.311948	1.481064	1.396506	1.311948–1.481064	1.12890	118/122/2	118/122/2	0.840189
poisson-32	torch-eager-out	1.388529	1.552283	1.470406	1.388529–1.552283	1.11793	118/122/2	118/122/2	0.840189
poisson-64	native	2.200787	2.319198	2.259993	2.200787–2.319198	1.05380	201/207/4	201/207/4	0.907427
poisson-64	scipy-out	5.378894	5.205381	5.292137	5.205381–5.378894	0.96774	201/207/4	201/207/4	0.907427
poisson-64	torch-eager-out	4.476667	4.651119	4.563893	4.476667–4.651119	1.03897	201/207/4	201/207/4	0.907427
poisson-128	native	29.496267	31.969688	30.732978	29.496267–31.969688	1.08386	627/641/12	627/641/12	0.989568
poisson-128	scipy-out	58.979563	58.020257	58.499910	58.020257–58.979563	0.98373	627/641/12	627/641/12	0.989568
poisson-128	torch-eager-out	43.320298	44.443843	43.882070	43.320298–44.443843	1.02594	627/641/12	627/641/12	0.989568

cpu-release-cpu-csr-f64-v1-jacobi-api-fused1-host

Case	Candidate	Forward ms	Reverse ms	Median ms	Process range ms	Reverse/forward	Forward I/M/R	Reverse I/M/R	Max TrueR/tol
poisson-8	native	0.032274	0.035319	0.033797	0.032274–0.035319	1.09436	26/28/0	26/28/0	0.579621
poisson-8	scipy-out	0.238952	0.256290	0.247621	0.238952–0.256290	1.07256	26/28/0	26/28/0	0.579621
poisson-8	torch-eager-out	0.354777	0.391651	0.373214	0.354777–0.391651	1.10394	26/28/0	26/28/0	0.579621
poisson-32	native	0.470132	0.503678	0.486905	0.470132–0.503678	1.07135	118/122/2	118/122/2	0.840189
poisson-32	scipy-out	1.658735	1.697019	1.677877	1.658735–1.697019	1.02308	118/122/2	118/122/2	0.840189
poisson-32	torch-eager-out	1.870100	1.973956	1.922028	1.870100–1.973956	1.05553	118/122/2	118/122/2	0.840189
poisson-64	native	2.968628	2.808124	2.888376	2.808124–2.968628	0.94593	201/207/4	201/207/4	0.907427
poisson-64	scipy-out	6.954732	6.537453	6.746092	6.537453–6.954732	0.94000	201/207/4	201/207/4	0.907427
poisson-64	torch-eager-out	5.779999	6.147450	5.963724	5.779999–6.147450	1.06357	201/207/4	201/207/4	0.907427
poisson-128	native	34.972147	37.282167	36.127157	34.972147–37.282167	1.06605	627/641/12	627/641/12	0.989568
poisson-128	scipy-out	67.721823	73.170770	70.446296	67.721823–73.170770	1.08046	627/641/12	627/641/12	0.989568
poisson-128	torch-eager-out	53.229109	59.231209	56.230159	53.229109–59.231209	1.11276	627/641/12	627/641/12	0.989568

cpu-release-cpu-csr-f64-v1-jacobi-prepared-fused1-host

Case	Candidate	Forward ms	Reverse ms	Median ms	Process range ms	Reverse/forward	Forward I/M/R	Reverse I/M/R	Max TrueR/tol
poisson-8	native	0.018916	0.016609	0.017763	0.016609–0.018916	0.87802	26/28/0	26/28/0	0.579621
poisson-8	scipy-out	0.286291	0.216630	0.251460	0.216630–0.286291	0.75668	26/28/0	26/28/0	0.579621
poisson-8	torch-eager-out	0.396840	0.314812	0.355826	0.314812–0.396840	0.79330	26/28/0	26/28/0	0.579621
poisson-32	native	0.465917	0.457056	0.461487	0.457056–0.465917	0.98098	118/122/2	118/122/2	0.840189
poisson-32	scipy-out	1.885886	1.672838	1.779362	1.672838–1.885886	0.88703	118/122/2	118/122/2	0.840189
poisson-32	torch-eager-out	2.111523	1.853050	1.982286	1.853050–2.111523	0.87759	118/122/2	118/122/2	0.840189
poisson-64	native	2.880112	2.933520	2.906816	2.880112–2.933520	1.01854	201/207/4	201/207/4	0.907427
poisson-64	scipy-out	7.125383	6.400830	6.763107	6.400830–7.125383	0.89831	201/207/4	201/207/4	0.907427
poisson-64	torch-eager-out	6.464707	6.453167	6.458937	6.453167–6.464707	0.99821	201/207/4	201/207/4	0.907427
poisson-128	native	33.510543	33.933828	33.722186	33.510543–33.933828	1.01263	627/641/12	627/641/12	0.989568
poisson-128	scipy-out	67.269954	65.516504	66.393230	65.516504–67.269954	0.97393	627/641/12	627/641/12	0.989568
poisson-128	torch-eager-out	53.587795	51.643910	52.615853	51.643910–53.587795	0.96373	627/641/12	627/641/12	0.989568

cpu-openmp-cpu-dense-f64-v1-none-api-fused1-host

Case	Candidate	Forward ms	Reverse ms	Median ms	Process range ms	Reverse/forward	Forward I/M/R	Reverse I/M/R	Max TrueR/tol
dense-64	native	0.063271	0.061144	0.062208	0.061144–0.063271	0.96639	49/51/0	49/51/0	0.607749
dense-64	numpy-out	0.205037	0.205723	0.205379	0.205037–0.205723	1.00335	49/51/0	49/51/0	0.61272
dense-64	torch-eager-out	0.316026	0.304739	0.310383	0.304739–0.316026	0.96428	49/51/0	49/51/0	0.635707
dense-256	native	0.364721	0.411164	0.387943	0.364721–0.411164	1.12734	67/70/1	67/70/1	0.993806
dense-256	numpy-out	0.662627	1.082239	0.872433	0.662627–1.082239	1.63326	67/70/1	67/70/1	0.969964
dense-256	torch-eager-out	0.818121	1.148995	0.983558	0.818121–1.148995	1.40443	67/70/1	67/70/1	0.972357
dense-1024	native	10.965793	13.600523	12.283158	10.965793–13.600523	1.24027	70/73/1	70/73/1	0.928014
dense-1024	numpy-out	10.896076	12.137645	11.516861	10.896076–12.137645	1.11395	70/73/1	70/73/1	0.928014
dense-1024	torch-eager-out	12.248268	17.115843	14.682056	12.248268–17.115843	1.39741	70/73/1	70/73/1	0.928014
dense-2048	native	93.139776	88.198544	90.669160	88.198544–93.139776	0.94695	70/73/1	70/73/1	0.871762
dense-2048	numpy-out	71.250376	72.665762	71.958069	71.250376–72.665762	1.01986	70/73/1	70/73/1	0.871762
dense-2048	torch-eager-out	99.255246	83.098213	91.176729	83.098213–99.255246	0.83722	70/73/1	70/73/1	0.871762

cpu-openmp-cpu-dense-f64-v1-none-prepared-fused1-host

Case	Candidate	Forward ms	Reverse ms	Median ms	Process range ms	Reverse/forward	Forward I/M/R	Reverse I/M/R	Max TrueR/tol
dense-64	native	0.055848	0.054640	0.055244	0.054640–0.055848	0.97838	49/51/0	49/51/0	0.607749
dense-64	numpy-out	0.203923	0.201829	0.202876	0.201829–0.203923	0.98973	49/51/0	49/51/0	0.61272
dense-64	torch-eager-out	0.314262	0.309256	0.311759	0.309256–0.314262	0.98407	49/51/0	49/51/0	0.635707
dense-256	native	0.348855	0.369202	0.359028	0.348855–0.369202	1.05832	67/70/1	67/70/1	0.993806
dense-256	numpy-out	0.826943	0.872141	0.849542	0.826943–0.872141	1.05466	67/70/1	67/70/1	0.969964
dense-256	torch-eager-out	0.887800	1.057684	0.972742	0.887800–1.057684	1.19135	67/70/1	67/70/1	0.972357
dense-1024	native	13.883033	15.194865	14.538949	13.883033–15.194865	1.09449	70/73/1	70/73/1	0.928014
dense-1024	numpy-out	13.078618	13.136135	13.107376	13.078618–13.136135	1.00440	70/73/1	70/73/1	0.928014
dense-1024	torch-eager-out	16.583150	17.675429	17.129290	16.583150–17.675429	1.06587	70/73/1	70/73/1	0.928014
dense-2048	native	108.289352	95.135807	101.712580	95.135807–108.289352	0.87853	70/73/1	70/73/1	0.871762
dense-2048	numpy-out	81.933498	69.588465	75.760981	69.588465–81.933498	0.84933	70/73/1	70/73/1	0.871762
dense-2048	torch-eager-out	94.660541	94.577527	94.619034	94.577527–94.660541	0.99912	70/73/1	70/73/1	0.871762

cpu-openmp-cpu-dense-f64-v1-jacobi-api-fused1-host

Case	Candidate	Forward ms	Reverse ms	Median ms	Process range ms	Reverse/forward	Forward I/M/R	Reverse I/M/R	Max TrueR/tol
dense-64	native	0.021537	0.019845	0.020691	0.019845–0.021537	0.92144	5/7/0	5/7/0	0.0796191
dense-64	numpy-out	0.044631	0.044168	0.044400	0.044168–0.044631	0.98964	5/7/0	5/7/0	0.0796191
dense-64	torch-eager-out	0.078053	0.071923	0.074988	0.071923–0.078053	0.92146	5/7/0	5/7/0	0.0796191
dense-256	native	0.115130	0.043369	0.079250	0.043369–0.115130	0.37670	4/6/0	4/6/0	0.209854
dense-256	numpy-out	0.084996	0.068052	0.076524	0.068052–0.084996	0.80064	4/6/0	4/6/0	0.209854
dense-256	torch-eager-out	0.261472	0.104804	0.183138	0.104804–0.261472	0.40083	4/6/0	4/6/0	0.209854
dense-1024	native	1.065217	1.009434	1.037325	1.009434–1.065217	0.94763	4/6/0	4/6/0	0.013684
dense-1024	numpy-out	1.167746	1.105117	1.136432	1.105117–1.167746	0.94637	4/6/0	4/6/0	0.013684
dense-1024	torch-eager-out	1.312561	1.205148	1.258855	1.205148–1.312561	0.91817	4/6/0	4/6/0	0.013684
dense-2048	native	10.471840	10.139496	10.305668	10.139496–10.471840	0.96826	3/5/0	3/5/0	0.836412
dense-2048	numpy-out	7.222506	8.187473	7.704990	7.222506–8.187473	1.13361	3/5/0	3/5/0	0.836412
dense-2048	torch-eager-out	9.166802	8.301989	8.734395	8.301989–9.166802	0.90566	3/5/0	3/5/0	0.836412

cpu-openmp-cpu-dense-f64-v1-jacobi-prepared-fused1-host

Case	Candidate	Forward ms	Reverse ms	Median ms	Process range ms	Reverse/forward	Forward I/M/R	Reverse I/M/R	Max TrueR/tol
dense-64	native	0.011655	0.011732	0.011693	0.011655–0.011732	1.00656	5/7/0	5/7/0	0.0796191
dense-64	numpy-out	0.032245	0.030433	0.031338	0.030433–0.032245	0.94380	5/7/0	5/7/0	0.0796191
dense-64	torch-eager-out	0.050005	0.049415	0.049710	0.049415–0.050005	0.98821	5/7/0	5/7/0	0.0796191
dense-256	native	0.070796	0.036514	0.053656	0.036514–0.070796	0.51577	4/6/0	4/6/0	0.209854
dense-256	numpy-out	0.063011	0.060200	0.061605	0.060200–0.063011	0.95538	4/6/0	4/6/0	0.209854
dense-256	torch-eager-out	0.174957	0.091398	0.133177	0.091398–0.174957	0.52240	4/6/0	4/6/0	0.209854
dense-1024	native	1.982139	0.975012	1.478576	0.975012–1.982139	0.49190	4/6/0	4/6/0	0.013684
dense-1024	numpy-out	1.698503	1.468522	1.583512	1.468522–1.698503	0.86460	4/6/0	4/6/0	0.013684
dense-1024	torch-eager-out	2.374221	1.360953	1.867587	1.360953–2.374221	0.57322	4/6/0	4/6/0	0.013684
dense-2048	native	11.332840	13.655945	12.494393	11.332840–13.655945	1.20499	3/5/0	3/5/0	0.836412
dense-2048	numpy-out	10.422716	11.330873	10.876795	10.422716–11.330873	1.08713	3/5/0	3/5/0	0.836412
dense-2048	torch-eager-out	13.696452	15.917632	14.807042	13.696452–15.917632	1.16217	3/5/0	3/5/0	0.836412

cpu-openmp-cpu-csr-f64-v1-none-api-fused1-host

Case	Candidate	Forward ms	Reverse ms	Median ms	Process range ms	Reverse/forward	Forward I/M/R	Reverse I/M/R	Max TrueR/tol
poisson-8	native	0.029795	0.059320	0.044557	0.029795–0.059320	1.99094	26/28/0	26/28/0	0.579621
poisson-8	scipy-out	0.147498	0.287226	0.217362	0.147498–0.287226	1.94732	26/28/0	26/28/0	0.579621
poisson-8	torch-eager-out	0.224794	0.427529	0.326161	0.224794–0.427529	1.90187	26/28/0	26/28/0	0.579621
poisson-32	native	0.429674	0.605009	0.517342	0.429674–0.605009	1.40807	118/122/2	118/122/2	0.840189
poisson-32	scipy-out	1.119220	1.848999	1.484109	1.119220–1.848999	1.65204	118/122/2	118/122/2	0.840189
poisson-32	torch-eager-out	1.274064	1.916092	1.595078	1.274064–1.916092	1.50392	118/122/2	118/122/2	0.840189
poisson-64	native	2.427446	2.653018	2.540232	2.427446–2.653018	1.09293	201/207/4	201/207/4	0.907427
poisson-64	scipy-out	4.150322	6.213375	5.181849	4.150322–6.213375	1.49708	201/207/4	201/207/4	0.907427
poisson-64	torch-eager-out	3.999192	5.606717	4.802954	3.999192–5.606717	1.40196	201/207/4	201/207/4	0.907427
poisson-128	native	32.011201	29.172898	30.592049	29.172898–32.011201	0.91133	627/641/12	627/641/12	0.989568
poisson-128	scipy-out	75.547713	76.871238	76.209475	75.547713–76.871238	1.01752	627/641/12	627/641/12	0.989568
poisson-128	torch-eager-out	42.427236	46.730128	44.578682	42.427236–46.730128	1.10142	627/641/12	627/641/12	0.989568

cpu-openmp-cpu-csr-f64-v1-none-prepared-fused1-host

Case	Candidate	Forward ms	Reverse ms	Median ms	Process range ms	Reverse/forward	Forward I/M/R	Reverse I/M/R	Max TrueR/tol
poisson-8	native	0.023658	0.027541	0.025599	0.023658–0.027541	1.16416	26/28/0	26/28/0	0.579621
poisson-8	scipy-out	0.147366	0.218642	0.183004	0.147366–0.218642	1.48367	26/28/0	26/28/0	0.579621
poisson-8	torch-eager-out	0.446858	0.313082	0.379970	0.313082–0.446858	0.70063	26/28/0	26/28/0	0.579621
poisson-32	native	0.427194	0.507199	0.467197	0.427194–0.507199	1.18728	118/122/2	118/122/2	0.840189
poisson-32	scipy-out	1.170940	1.594799	1.382869	1.170940–1.594799	1.36198	118/122/2	118/122/2	0.840189
poisson-32	torch-eager-out	1.265589	1.607089	1.436339	1.265589–1.607089	1.26984	118/122/2	118/122/2	0.840189
poisson-64	native	2.578861	2.497129	2.537995	2.497129–2.578861	0.96831	201/207/4	201/207/4	0.907427
poisson-64	scipy-out	4.151237	5.483015	4.817126	4.151237–5.483015	1.32081	201/207/4	201/207/4	0.907427
poisson-64	torch-eager-out	3.907198	4.560803	4.234000	3.907198–4.560803	1.16728	201/207/4	201/207/4	0.907427
poisson-128	native	29.158123	31.872338	30.515231	29.158123–31.872338	1.09309	627/641/12	627/641/12	0.989568
poisson-128	scipy-out	78.988898	75.770064	77.379481	75.770064–78.988898	0.95925	627/641/12	627/641/12	0.989568
poisson-128	torch-eager-out	44.568305	48.238836	46.403570	44.568305–48.238836	1.08236	627/641/12	627/641/12	0.989568

cpu-openmp-cpu-csr-f64-v1-jacobi-api-fused1-host

Case	Candidate	Forward ms	Reverse ms	Median ms	Process range ms	Reverse/forward	Forward I/M/R	Reverse I/M/R	Max TrueR/tol
poisson-8	native	0.039215	0.042877	0.041046	0.039215–0.042877	1.09338	26/28/0	26/28/0	0.579621
poisson-8	scipy-out	0.185137	0.189256	0.187196	0.185137–0.189256	1.02225	26/28/0	26/28/0	0.579621
poisson-8	torch-eager-out	0.294318	0.602969	0.448643	0.294318–0.602969	2.04870	26/28/0	26/28/0	0.579621
poisson-32	native	0.537406	0.517035	0.527220	0.517035–0.537406	0.96209	118/122/2	118/122/2	0.840189
poisson-32	scipy-out	1.344966	1.328162	1.336564	1.328162–1.344966	0.98751	118/122/2	118/122/2	0.840189
poisson-32	torch-eager-out	1.748533	1.599521	1.674027	1.599521–1.748533	0.91478	118/122/2	118/122/2	0.840189
poisson-64	native	3.015597	2.872832	2.944214	2.872832–3.015597	0.95266	201/207/4	201/207/4	0.907427
poisson-64	scipy-out	4.808878	4.657072	4.732975	4.657072–4.808878	0.96843	201/207/4	201/207/4	0.907427
poisson-64	torch-eager-out	5.272380	5.197838	5.235109	5.197838–5.272380	0.98586	201/207/4	201/207/4	0.907427
poisson-128	native	34.588732	38.069504	36.329118	34.588732–38.069504	1.10063	627/641/12	627/641/12	0.989568
poisson-128	scipy-out	82.637017	84.796574	83.716795	82.637017–84.796574	1.02613	627/641/12	627/641/12	0.989568
poisson-128	torch-eager-out	50.418396	52.606243	51.512319	50.418396–52.606243	1.04339	627/641/12	627/641/12	0.989568

cpu-openmp-cpu-csr-f64-v1-jacobi-prepared-fused1-host

Case	Candidate	Forward ms	Reverse ms	Median ms	Process range ms	Reverse/forward	Forward I/M/R	Reverse I/M/R	Max TrueR/tol
poisson-8	native	0.028361	0.047122	0.037741	0.028361–0.047122	1.66151	26/28/0	26/28/0	0.579621
poisson-8	scipy-out	0.168113	0.256084	0.212098	0.168113–0.256084	1.52328	26/28/0	26/28/0	0.579621
poisson-8	torch-eager-out	0.385250	0.430345	0.407797	0.385250–0.430345	1.11705	26/28/0	26/28/0	0.579621
poisson-32	native	0.488675	0.602248	0.545462	0.488675–0.602248	1.23241	118/122/2	118/122/2	0.840189
poisson-32	scipy-out	1.302156	1.758353	1.530254	1.302156–1.758353	1.35034	118/122/2	118/122/2	0.840189
poisson-32	torch-eager-out	1.526337	1.907891	1.717114	1.526337–1.907891	1.24998	118/122/2	118/122/2	0.840189
poisson-64	native	2.834501	3.070550	2.952526	2.834501–3.070550	1.08328	201/207/4	201/207/4	0.907427
poisson-64	scipy-out	4.680625	6.183395	5.432010	4.680625–6.183395	1.32106	201/207/4	201/207/4	0.907427
poisson-64	torch-eager-out	5.093900	5.818389	5.456144	5.093900–5.818389	1.14223	201/207/4	201/207/4	0.907427
poisson-128	native	32.379157	35.703153	34.041155	32.379157–35.703153	1.10266	627/641/12	627/641/12	0.989568
poisson-128	scipy-out	62.960403	81.457278	72.208840	62.960403–81.457278	1.29379	627/641/12	627/641/12	0.989568
poisson-128	torch-eager-out	40.160783	51.759282	45.960032	40.160783–51.759282	1.28880	627/641/12	627/641/12	0.989568

cpu-release-sparse-solvers-none-api-fused1-host

Case	Candidate	Forward ms	Reverse ms	Median ms	Process range ms	Reverse/forward	Forward I/M/R	Reverse I/M/R	Max TrueR/tol
scaled-poisson-2d-16	native-cg	0.534712	0.597830	0.566271	0.534712–0.597830	1.11804	597/610/11	597/610/11	0.970433
scaled-poisson-2d-16	native-pcg	0.094597	0.089889	0.092243	0.089889–0.094597	0.95023	48/50/0	48/50/0	0.91593
scaled-poisson-2d-16	scipy-cg	3.460262	3.544083	3.502172	3.460262–3.544083	1.02422	276/277/unknown	276/277/unknown	0.846418
scaled-poisson-2d-16	scipy-pcg	0.765618	0.809412	0.787515	0.765618–0.809412	1.05720	48/49/unknown	48/49/unknown	0.91593
scaled-poisson-2d-16	scipy-lu-total	0.449873	0.463500	0.456687	0.449873–0.463500	1.03029	0/1/unknown	0/1/unknown	1.56573e-08
scaled-poisson-2d-16	scipy-lu-reuse	0.051803	0.051222	0.051512	0.051222–0.051803	0.98877	0/1/unknown	0/1/unknown	1.56573e-08
scaled-poisson-2d-32	native-cg	5.548388	5.988370	5.768379	5.548388–5.988370	1.07930	1799/1836/35	1799/1836/35	0.976976
scaled-poisson-2d-32	native-pcg	0.506568	0.589744	0.548156	0.506568–0.589744	1.16419	118/122/2	118/122/2	0.909328
scaled-poisson-2d-32	scipy-cg	10.719684	11.629991	11.174838	10.719684–11.629991	1.08492	633/634/unknown	633/634/unknown	0.899425
scaled-poisson-2d-32	scipy-pcg	1.937689	2.084300	2.010995	1.937689–2.084300	1.07566	90/91/unknown	90/91/unknown	0.843882
scaled-poisson-2d-32	scipy-lu-total	1.737091	1.963499	1.850295	1.737091–1.963499	1.13034	0/1/unknown	0/1/unknown	2.13506e-08
scaled-poisson-2d-32	scipy-lu-reuse	0.154951	0.168884	0.161918	0.154951–0.168884	1.08992	0/1/unknown	0/1/unknown	2.13506e-08
scaled-poisson-3d-6	native-cg	0.238012	0.256877	0.247445	0.238012–0.256877	1.07926	253/260/5	253/260/5	0.876984
scaled-poisson-3d-6	native-pcg	0.058056	0.066261	0.062159	0.058056–0.066261	1.14132	24/26/0	24/26/0	0.71185
scaled-poisson-3d-6	scipy-cg	2.214169	2.532484	2.373327	2.214169–2.532484	1.14376	180/181/unknown	180/181/unknown	0.837854
scaled-poisson-3d-6	scipy-pcg	0.464274	0.488905	0.476589	0.464274–0.488905	1.05305	24/25/unknown	24/25/unknown	0.71185
scaled-poisson-3d-6	scipy-lu-total	0.492134	0.525659	0.508897	0.492134–0.525659	1.06812	0/1/unknown	0/1/unknown	1.87121e-08
scaled-poisson-3d-6	scipy-lu-reuse	0.046690	0.055473	0.051081	0.046690–0.055473	1.18813	0/1/unknown	0/1/unknown	1.87121e-08
scaled-poisson-3d-10	native-cg	1.537725	1.663949	1.600837	1.537725–1.663949	1.08208	387/396/7	387/396/7	0.977579
scaled-poisson-3d-10	native-pcg	0.238577	0.256388	0.247483	0.238577–0.256388	1.07465	37/39/0	37/39/0	0.956242
scaled-poisson-3d-10	scipy-cg	5.119989	5.974416	5.547203	5.119989–5.974416	1.16688	296/297/unknown	296/297/unknown	0.995554
scaled-poisson-3d-10	scipy-pcg	0.859248	0.986248	0.922748	0.859248–0.986248	1.14780	37/38/unknown	37/38/unknown	0.956242
scaled-poisson-3d-10	scipy-lu-total	4.305481	4.315884	4.310683	4.305481–4.315884	1.00242	0/1/unknown	0/1/unknown	3.15518e-08
scaled-poisson-3d-10	scipy-lu-reuse	0.264462	0.294227	0.279344	0.264462–0.294227	1.11255	0/1/unknown	0/1/unknown	3.15518e-08
poisson-2d-16-neutral	native-cg	0.068999	0.076669	0.072834	0.068999–0.076669	1.11115	51/54/1	51/54/1	0.602546
poisson-2d-16-neutral	native-pcg	0.083746	0.104326	0.094036	0.083746–0.104326	1.24574	51/54/1	51/54/1	0.602546
poisson-2d-16-neutral	scipy-cg	0.577333	0.915670	0.746502	0.577333–0.915670	1.58603	51/52/unknown	51/52/unknown	0.568679
poisson-2d-16-neutral	scipy-pcg	0.646484	0.915754	0.781119	0.646484–0.915754	1.41651	51/52/unknown	51/52/unknown	0.568679
poisson-2d-16-neutral	scipy-lu-total	0.334745	0.419540	0.377142	0.334745–0.419540	1.25331	0/1/unknown	0/1/unknown	1.84387e-08
poisson-2d-16-neutral	scipy-lu-reuse	0.041099	0.046487	0.043793	0.041099–0.046487	1.13111	0/1/unknown	0/1/unknown	1.84387e-08

cpu-release-sparse-solvers-none-prepared-fused1-host

Case	Candidate	Forward ms	Reverse ms	Median ms	Process range ms	Reverse/forward	Forward I/M/R	Reverse I/M/R	Max TrueR/tol
scaled-poisson-2d-16	native-cg	0.517064	0.606966	0.562015	0.517064–0.606966	1.17387	597/610/11	597/610/11	0.970433
scaled-poisson-2d-16	native-pcg	0.070279	0.079787	0.075033	0.070279–0.079787	1.13529	48/50/0	48/50/0	0.91593
scaled-poisson-2d-16	scipy-cg	3.072085	3.771473	3.421779	3.072085–3.771473	1.22766	276/277/unknown	276/277/unknown	0.846418
scaled-poisson-2d-16	scipy-pcg	0.637318	0.773864	0.705591	0.637318–0.773864	1.21425	48/49/unknown	48/49/unknown	0.91593
scaled-poisson-2d-16	scipy-lu-total	0.439088	0.458236	0.448662	0.439088–0.458236	1.04361	0/1/unknown	0/1/unknown	1.56573e-08
scaled-poisson-2d-16	scipy-lu-reuse	0.053377	0.054372	0.053874	0.053377–0.054372	1.01864	0/1/unknown	0/1/unknown	1.56573e-08
scaled-poisson-2d-32	native-cg	5.389068	6.038965	5.714016	5.389068–6.038965	1.12060	1799/1836/35	1799/1836/35	0.976976
scaled-poisson-2d-32	native-pcg	0.484953	0.519577	0.502265	0.484953–0.519577	1.07140	118/122/2	118/122/2	0.909328
scaled-poisson-2d-32	scipy-cg	9.558303	11.614915	10.586609	9.558303–11.614915	1.21516	633/634/unknown	633/634/unknown	0.899425
scaled-poisson-2d-32	scipy-pcg	1.660964	2.088292	1.874628	1.660964–2.088292	1.25728	90/91/unknown	90/91/unknown	0.843882
scaled-poisson-2d-32	scipy-lu-total	1.852135	2.122677	1.987406	1.852135–2.122677	1.14607	0/1/unknown	0/1/unknown	2.13506e-08
scaled-poisson-2d-32	scipy-lu-reuse	0.169090	0.200602	0.184846	0.169090–0.200602	1.18637	0/1/unknown	0/1/unknown	2.13506e-08
scaled-poisson-3d-6	native-cg	0.217884	0.237346	0.227615	0.217884–0.237346	1.08933	253/260/5	253/260/5	0.876984
scaled-poisson-3d-6	native-pcg	0.040835	0.037076	0.038955	0.037076–0.040835	0.90796	24/26/0	24/26/0	0.71185
scaled-poisson-3d-6	scipy-cg	2.061424	2.293613	2.177518	2.061424–2.293613	1.11264	180/181/unknown	180/181/unknown	0.837854
scaled-poisson-3d-6	scipy-pcg	0.353809	0.411241	0.382525	0.353809–0.411241	1.16232	24/25/unknown	24/25/unknown	0.71185
scaled-poisson-3d-6	scipy-lu-total	0.463294	0.521690	0.492492	0.463294–0.521690	1.12605	0/1/unknown	0/1/unknown	1.87121e-08
scaled-poisson-3d-6	scipy-lu-reuse	0.038492	0.044348	0.041420	0.038492–0.044348	1.15212	0/1/unknown	0/1/unknown	1.87121e-08
scaled-poisson-3d-10	native-cg	1.371450	1.737801	1.554626	1.371450–1.737801	1.26713	387/396/7	387/396/7	0.977579
scaled-poisson-3d-10	native-pcg	0.188773	0.234893	0.211833	0.188773–0.234893	1.24432	37/39/0	37/39/0	0.956242
scaled-poisson-3d-10	scipy-cg	4.411201	5.671074	5.041138	4.411201–5.671074	1.28561	296/297/unknown	296/297/unknown	0.995554
scaled-poisson-3d-10	scipy-pcg	0.715481	1.036435	0.875958	0.715481–1.036435	1.44858	37/38/unknown	37/38/unknown	0.956242
scaled-poisson-3d-10	scipy-lu-total	3.820412	4.914178	4.367295	3.820412–4.914178	1.28630	0/1/unknown	0/1/unknown	3.15518e-08
scaled-poisson-3d-10	scipy-lu-reuse	0.250433	0.308652	0.279542	0.250433–0.308652	1.23248	0/1/unknown	0/1/unknown	3.15518e-08
poisson-2d-16-neutral	native-cg	0.055699	0.047274	0.051486	0.047274–0.055699	0.84874	51/54/1	51/54/1	0.602546
poisson-2d-16-neutral	native-pcg	0.063313	0.056462	0.059888	0.056462–0.063313	0.89180	51/54/1	51/54/1	0.602546
poisson-2d-16-neutral	scipy-cg	0.590382	0.485745	0.538064	0.485745–0.590382	0.82276	51/52/unknown	51/52/unknown	0.568679
poisson-2d-16-neutral	scipy-pcg	0.635419	0.565505	0.600462	0.565505–0.635419	0.88997	51/52/unknown	51/52/unknown	0.568679
poisson-2d-16-neutral	scipy-lu-total	0.317781	0.307580	0.312680	0.307580–0.317781	0.96790	0/1/unknown	0/1/unknown	1.84387e-08
poisson-2d-16-neutral	scipy-lu-reuse	0.029965	0.027599	0.028782	0.027599–0.029965	0.92106	0/1/unknown	0/1/unknown	1.84387e-08

cuda-release-cuda-dense-f64-v1-none-api-fused1-host

Case	Candidate	Forward ms	Reverse ms	Median ms	Process range ms	Reverse/forward	Forward I/M/R	Reverse I/M/R	Max TrueR/tol
dense-64	cuda-native	6.269868	6.455184	6.362526	6.269868–6.455184	1.02956	49/51/0	49/51/0	0.648887
dense-64	cuda-cublas	8.358752	9.695800	9.027276	8.358752–9.695800	1.15996	49/51/0	49/51/0	0.611009
dense-64	torch-cuda-eager	15.577025	16.159938	15.868482	15.577025–16.159938	1.03742	49/51/0	49/51/0	0.611009
dense-256	cuda-native	9.144025	9.188360	9.166193	9.144025–9.188360	1.00485	67/70/1	67/70/1	0.979365
dense-256	cuda-cublas	11.574677	12.131001	11.852839	11.574677–12.131001	1.04806	67/70/1	67/70/1	0.994421
dense-256	torch-cuda-eager	21.514676	22.260022	21.887349	21.514676–22.260022	1.03464	67/70/1	67/70/1	0.977359
dense-1024	cuda-native	14.692116	12.655358	13.673737	12.655358–14.692116	0.86137	70/73/1	70/73/1	0.928014
dense-1024	cuda-cublas	14.241922	13.583410	13.912666	13.583410–14.241922	0.95376	70/73/1	70/73/1	0.928014
dense-1024	torch-cuda-eager	21.149862	22.703437	21.926649	21.149862–22.703437	1.07346	70/73/1	70/73/1	0.928014
dense-2048	cuda-native	20.681981	21.198042	20.940011	20.681981–21.198042	1.02495	70/73/1	70/73/1	0.871762
dense-2048	cuda-cublas	21.002477	21.119265	21.060871	21.002477–21.119265	1.00556	70/73/1	70/73/1	0.871762
dense-2048	torch-cuda-eager	28.129382	27.820101	27.974742	27.820101–28.129382	0.98901	70/73/1	70/73/1	0.871762

cuda-release-cuda-dense-f64-v1-none-api-fused1-device

Case	Candidate	Forward ms	Reverse ms	Median ms	Process range ms	Reverse/forward	Forward I/M/R	Reverse I/M/R	Max TrueR/tol
dense-64	cuda-native	4.574724	4.467877	4.521300	4.467877–4.574724	0.97664	49/51/0	49/51/0	0.648887
dense-64	cuda-cublas	6.300969	6.894224	6.597596	6.300969–6.894224	1.09415	49/51/0	49/51/0	0.611009
dense-64	torch-cuda-eager	16.270546	16.049218	16.159882	16.049218–16.270546	0.98640	49/51/0	49/51/0	0.611009
dense-256	cuda-native	6.466888	7.245254	6.856071	6.466888–7.245254	1.12036	67/70/1	67/70/1	0.979365
dense-256	cuda-cublas	9.271701	9.300287	9.285994	9.271701–9.300287	1.00308	67/70/1	67/70/1	0.994421
dense-256	torch-cuda-eager	20.872080	22.278460	21.575270	20.872080–22.278460	1.06738	67/70/1	67/70/1	0.977359
dense-1024	cuda-native	8.890242	9.414016	9.152129	8.890242–9.414016	1.05892	70/73/1	70/73/1	0.928014
dense-1024	cuda-cublas	10.138445	10.608897	10.373671	10.138445–10.608897	1.04640	70/73/1	70/73/1	0.928014
dense-1024	torch-cuda-eager	21.482633	21.033517	21.258075	21.033517–21.482633	0.97909	70/73/1	70/73/1	0.928014
dense-2048	cuda-native	18.176967	17.638852	17.907910	17.638852–18.176967	0.97040	70/73/1	70/73/1	0.871762
dense-2048	cuda-cublas	19.418498	19.443857	19.431177	19.418498–19.443857	1.00131	70/73/1	70/73/1	0.871762
dense-2048	torch-cuda-eager	30.213943	28.785822	29.499882	28.785822–30.213943	0.95273	70/73/1	70/73/1	0.871762

cuda-release-cuda-dense-f64-v1-none-session-fused1-host

Case	Candidate	Forward ms	Reverse ms	Median ms	Process range ms	Reverse/forward	Forward I/M/R	Reverse I/M/R	Max TrueR/tol
dense-64	cuda-native	6.390088	6.678574	6.534331	6.390088–6.678574	1.04515	49/51/0	49/51/0	0.648887
dense-64	cuda-cublas	7.050249	7.140918	7.095584	7.050249–7.140918	1.01286	49/51/0	49/51/0	0.611009
dense-64	torch-cuda-eager	16.175825	16.260447	16.218136	16.175825–16.260447	1.00523	49/51/0	49/51/0	0.611009
dense-256	cuda-native	11.215874	9.572181	10.394028	9.572181–11.215874	0.85345	67/70/1	67/70/1	0.979365
dense-256	cuda-cublas	9.448244	9.791449	9.619847	9.448244–9.791449	1.03632	67/70/1	67/70/1	0.994421
dense-256	torch-cuda-eager	23.218738	22.618169	22.918453	22.618169–23.218738	0.97413	67/70/1	67/70/1	0.977359
dense-1024	cuda-native	13.059845	14.301699	13.680772	13.059845–14.301699	1.09509	70/73/1	70/73/1	0.928014
dense-1024	cuda-cublas	13.133909	12.029058	12.581483	12.029058–13.133909	0.91588	70/73/1	70/73/1	0.928014
dense-1024	torch-cuda-eager	22.941660	22.123548	22.532604	22.123548–22.941660	0.96434	70/73/1	70/73/1	0.928014
dense-2048	cuda-native	21.619573	21.911151	21.765362	21.619573–21.911151	1.01349	70/73/1	70/73/1	0.871762
dense-2048	cuda-cublas	19.898805	20.447979	20.173392	19.898805–20.447979	1.02760	70/73/1	70/73/1	0.871762
dense-2048	torch-cuda-eager	29.666466	29.008131	29.337298	29.008131–29.666466	0.97781	70/73/1	70/73/1	0.871762

cuda-release-cuda-dense-f64-v1-none-session-fused1-device

Case	Candidate	Forward ms	Reverse ms	Median ms	Process range ms	Reverse/forward	Forward I/M/R	Reverse I/M/R	Max TrueR/tol
dense-64	cuda-native	4.632907	4.391675	4.512291	4.391675–4.632907	0.94793	49/51/0	49/51/0	0.648887
dense-64	cuda-cublas	5.534070	4.708995	5.121532	4.708995–5.534070	0.85091	49/51/0	49/51/0	0.611009
dense-64	torch-cuda-eager	16.487116	15.204584	15.845850	15.204584–16.487116	0.92221	49/51/0	49/51/0	0.611009
dense-256	cuda-native	6.558118	6.589540	6.573829	6.558118–6.589540	1.00479	67/70/1	67/70/1	0.979365
dense-256	cuda-cublas	7.504784	6.673646	7.089214	6.673646–7.504784	0.88925	67/70/1	67/70/1	0.994421
dense-256	torch-cuda-eager	20.278962	19.969123	20.124042	19.969123–20.278962	0.98472	67/70/1	67/70/1	0.977359
dense-1024	cuda-native	9.545454	8.515592	9.030523	8.515592–9.545454	0.89211	70/73/1	70/73/1	0.928014
dense-1024	cuda-cublas	10.033996	8.542699	9.288348	8.542699–10.033996	0.85138	70/73/1	70/73/1	0.928014
dense-1024	torch-cuda-eager	21.216919	19.953305	20.585112	19.953305–21.216919	0.94044	70/73/1	70/73/1	0.928014
dense-2048	cuda-native	18.392514	17.585358	17.988936	17.585358–18.392514	0.95611	70/73/1	70/73/1	0.871762
dense-2048	cuda-cublas	17.605696	16.847078	17.226387	16.847078–17.605696	0.95691	70/73/1	70/73/1	0.871762
dense-2048	torch-cuda-eager	29.526996	27.630161	28.578578	27.630161–29.526996	0.93576	70/73/1	70/73/1	0.871762

cuda-release-cuda-dense-f64-v1-none-prepared-fused1-host

Case	Candidate	Forward ms	Reverse ms	Median ms	Process range ms	Reverse/forward	Forward I/M/R	Reverse I/M/R	Max TrueR/tol
dense-64	cuda-native	7.068707	6.610287	6.839497	6.610287–7.068707	0.93515	49/51/0	49/51/0	0.648887
dense-64	cuda-cublas	7.620498	6.534897	7.077697	6.534897–7.620498	0.85754	49/51/0	49/51/0	0.611009
dense-64	torch-cuda-eager	18.092991	15.743479	16.918235	15.743479–18.092991	0.87014	49/51/0	49/51/0	0.611009
dense-256	cuda-native	10.120936	9.058238	9.589587	9.058238–10.120936	0.89500	67/70/1	67/70/1	0.979365
dense-256	cuda-cublas	9.971676	8.975055	9.473365	8.975055–9.971676	0.90005	67/70/1	67/70/1	0.994421
dense-256	torch-cuda-eager	22.431897	21.210103	21.820999	21.210103–22.431897	0.94553	67/70/1	67/70/1	0.977359
dense-1024	cuda-native	13.465141	13.510642	13.487892	13.465141–13.510642	1.00338	70/73/1	70/73/1	0.928014
dense-1024	cuda-cublas	12.509892	11.347420	11.928656	11.347420–12.509892	0.90708	70/73/1	70/73/1	0.928014
dense-1024	torch-cuda-eager	22.408939	22.341279	22.375109	22.341279–22.408939	0.99698	70/73/1	70/73/1	0.928014
dense-2048	cuda-native	21.540948	21.946701	21.743824	21.540948–21.946701	1.01884	70/73/1	70/73/1	0.871762
dense-2048	cuda-cublas	20.024139	21.005498	20.514819	20.024139–21.005498	1.04901	70/73/1	70/73/1	0.871762
dense-2048	torch-cuda-eager	29.149499	30.029636	29.589568	29.149499–30.029636	1.03019	70/73/1	70/73/1	0.871762

cuda-release-cuda-dense-f64-v1-none-prepared-fused1-device

Case	Candidate	Forward ms	Reverse ms	Median ms	Process range ms	Reverse/forward	Forward I/M/R	Reverse I/M/R	Max TrueR/tol
dense-64	cuda-native	5.014330	4.470805	4.742568	4.470805–5.014330	0.89161	49/51/0	49/51/0	0.648887
dense-64	cuda-cublas	5.308808	4.814369	5.061589	4.814369–5.308808	0.90686	49/51/0	49/51/0	0.611009
dense-64	torch-cuda-eager	16.866513	16.743166	16.804839	16.743166–16.866513	0.99269	49/51/0	49/51/0	0.611009
dense-256	cuda-native	7.790847	7.551984	7.671416	7.551984–7.790847	0.96934	67/70/1	67/70/1	0.979365
dense-256	cuda-cublas	8.893674	7.753810	8.323742	7.753810–8.893674	0.87183	67/70/1	67/70/1	0.994421
dense-256	torch-cuda-eager	25.838038	23.760219	24.799129	23.760219–25.838038	0.91958	67/70/1	67/70/1	0.977359
dense-1024	cuda-native	9.068542	9.750016	9.409279	9.068542–9.750016	1.07515	70/73/1	70/73/1	0.928014
dense-1024	cuda-cublas	8.616156	8.980066	8.798111	8.616156–8.980066	1.04224	70/73/1	70/73/1	0.928014
dense-1024	torch-cuda-eager	21.176460	23.614414	22.395437	21.176460–23.614414	1.11513	70/73/1	70/73/1	0.928014
dense-2048	cuda-native	18.083897	18.408777	18.246337	18.083897–18.408777	1.01797	70/73/1	70/73/1	0.871762
dense-2048	cuda-cublas	17.617959	17.176741	17.397350	17.176741–17.617959	0.97496	70/73/1	70/73/1	0.871762
dense-2048	torch-cuda-eager	29.017050	29.065641	29.041345	29.017050–29.065641	1.00167	70/73/1	70/73/1	0.871762

cuda-release-cuda-dense-f64-v1-jacobi-api-fused1-host

Case	Candidate	Forward ms	Reverse ms	Median ms	Process range ms	Reverse/forward	Forward I/M/R	Reverse I/M/R	Max TrueR/tol
dense-64	cuda-native	1.211434	1.106880	1.159158	1.106880–1.211434	0.91369	5/7/0	5/7/0	0.0796191
dense-64	cuda-cublas	3.524750	3.050709	3.287730	3.050709–3.524750	0.86551	5/7/0	5/7/0	0.0796191
dense-64	torch-cuda-eager	2.841259	2.568123	2.704691	2.568123–2.841259	0.90387	5/7/0	5/7/0	0.0796191
dense-256	cuda-native	1.053285	1.111425	1.082355	1.053285–1.111425	1.05520	4/6/0	4/6/0	0.209854
dense-256	cuda-cublas	3.147820	3.112236	3.130028	3.112236–3.147820	0.98870	4/6/0	4/6/0	0.209854
dense-256	torch-cuda-eager	2.508514	2.504999	2.506757	2.504999–2.508514	0.99860	4/6/0	4/6/0	0.209854
dense-1024	cuda-native	1.305438	1.538012	1.421725	1.305438–1.538012	1.17816	4/6/0	4/6/0	0.013684
dense-1024	cuda-cublas	3.067125	3.568569	3.317847	3.067125–3.568569	1.16349	4/6/0	4/6/0	0.013684
dense-1024	torch-cuda-eager	2.288226	2.901154	2.594690	2.288226–2.901154	1.26786	4/6/0	4/6/0	0.013684
dense-2048	cuda-native	1.671071	2.079653	1.875362	1.671071–2.079653	1.24450	3/5/0	3/5/0	0.836412
dense-2048	cuda-cublas	3.681907	4.034857	3.858382	3.681907–4.034857	1.09586	3/5/0	3/5/0	0.836412
dense-2048	torch-cuda-eager	2.766433	2.842201	2.804317	2.766433–2.842201	1.02739	3/5/0	3/5/0	0.836412

cuda-release-cuda-dense-f64-v1-jacobi-api-fused1-device

Case	Candidate	Forward ms	Reverse ms	Median ms	Process range ms	Reverse/forward	Forward I/M/R	Reverse I/M/R	Max TrueR/tol
dense-64	cuda-native	0.844137	0.801747	0.822942	0.801747–0.844137	0.94978	5/7/0	5/7/0	0.0796191
dense-64	cuda-cublas	2.823151	2.720280	2.771716	2.720280–2.823151	0.96356	5/7/0	5/7/0	0.0796191
dense-64	torch-cuda-eager	2.543452	2.395989	2.469720	2.395989–2.543452	0.94202	5/7/0	5/7/0	0.0796191
dense-256	cuda-native	0.737121	0.742673	0.739897	0.737121–0.742673	1.00753	4/6/0	4/6/0	0.209854
dense-256	cuda-cublas	2.700133	2.720162	2.710148	2.700133–2.720162	1.00742	4/6/0	4/6/0	0.209854
dense-256	torch-cuda-eager	2.093466	2.189814	2.141640	2.093466–2.189814	1.04602	4/6/0	4/6/0	0.209854
dense-1024	cuda-native	1.081598	1.063954	1.072776	1.063954–1.081598	0.98369	4/6/0	4/6/0	0.013684
dense-1024	cuda-cublas	2.910116	2.849876	2.879996	2.849876–2.910116	0.97930	4/6/0	4/6/0	0.013684
dense-1024	torch-cuda-eager	2.160598	2.169665	2.165131	2.160598–2.169665	1.00420	4/6/0	4/6/0	0.013684
dense-2048	cuda-native	1.309529	1.349296	1.329413	1.309529–1.349296	1.03037	3/5/0	3/5/0	0.836412
dense-2048	cuda-cublas	2.911624	3.088907	3.000265	2.911624–3.088907	1.06089	3/5/0	3/5/0	0.836412
dense-2048	torch-cuda-eager	2.304098	2.331212	2.317655	2.304098–2.331212	1.01177	3/5/0	3/5/0	0.836412

cuda-release-cuda-dense-f64-v1-jacobi-session-fused1-host

Case	Candidate	Forward ms	Reverse ms	Median ms	Process range ms	Reverse/forward	Forward I/M/R	Reverse I/M/R	Max TrueR/tol
dense-64	cuda-native	1.166698	1.236079	1.201388	1.166698–1.236079	1.05947	5/7/0	5/7/0	0.0796191
dense-64	cuda-cublas	1.368300	1.214211	1.291255	1.214211–1.368300	0.88739	5/7/0	5/7/0	0.0796191
dense-64	torch-cuda-eager	3.145095	2.912489	3.028792	2.912489–3.145095	0.92604	5/7/0	5/7/0	0.0796191
dense-256	cuda-native	1.053506	1.072344	1.062925	1.053506–1.072344	1.01788	4/6/0	4/6/0	0.209854
dense-256	cuda-cublas	1.037602	1.057431	1.047516	1.037602–1.057431	1.01911	4/6/0	4/6/0	0.209854
dense-256	torch-cuda-eager	2.463527	2.405117	2.434322	2.405117–2.463527	0.97629	4/6/0	4/6/0	0.209854
dense-1024	cuda-native	1.458046	1.355160	1.406602	1.355160–1.458046	0.92944	4/6/0	4/6/0	0.013684
dense-1024	cuda-cublas	1.376270	1.241769	1.309020	1.241769–1.376270	0.90227	4/6/0	4/6/0	0.013684
dense-1024	torch-cuda-eager	2.867322	2.355589	2.611455	2.355589–2.867322	0.82153	4/6/0	4/6/0	0.013684
dense-2048	cuda-native	1.802081	1.738736	1.770409	1.738736–1.802081	0.96485	3/5/0	3/5/0	0.836412
dense-2048	cuda-cublas	1.732698	1.560234	1.646466	1.560234–1.732698	0.90046	3/5/0	3/5/0	0.836412
dense-2048	torch-cuda-eager	2.786026	2.820343	2.803184	2.786026–2.820343	1.01232	3/5/0	3/5/0	0.836412

cuda-release-cuda-dense-f64-v1-jacobi-session-fused1-device

Case	Candidate	Forward ms	Reverse ms	Median ms	Process range ms	Reverse/forward	Forward I/M/R	Reverse I/M/R	Max TrueR/tol
dense-64	cuda-native	0.871212	0.887842	0.879527	0.871212–0.887842	1.01909	5/7/0	5/7/0	0.0796191
dense-64	cuda-cublas	0.988029	0.921473	0.954751	0.921473–0.988029	0.93264	5/7/0	5/7/0	0.0796191
dense-64	torch-cuda-eager	2.855711	2.756023	2.805868	2.756023–2.855711	0.96509	5/7/0	5/7/0	0.0796191
dense-256	cuda-native	0.866282	0.800258	0.833270	0.800258–0.866282	0.92378	4/6/0	4/6/0	0.209854
dense-256	cuda-cublas	0.852172	0.840460	0.846316	0.840460–0.852172	0.98626	4/6/0	4/6/0	0.209854
dense-256	torch-cuda-eager	2.753281	2.360670	2.556976	2.360670–2.753281	0.85740	4/6/0	4/6/0	0.209854
dense-1024	cuda-native	1.312025	1.168481	1.240253	1.168481–1.312025	0.89059	4/6/0	4/6/0	0.013684
dense-1024	cuda-cublas	1.067850	0.971641	1.019745	0.971641–1.067850	0.90990	4/6/0	4/6/0	0.013684
dense-1024	torch-cuda-eager	2.689312	2.542680	2.615996	2.542680–2.689312	0.94548	4/6/0	4/6/0	0.013684
dense-2048	cuda-native	1.379028	1.506625	1.442827	1.379028–1.506625	1.09253	3/5/0	3/5/0	0.836412
dense-2048	cuda-cublas	1.240682	1.325757	1.283219	1.240682–1.325757	1.06857	3/5/0	3/5/0	0.836412
dense-2048	torch-cuda-eager	2.347926	2.407871	2.377898	2.347926–2.407871	1.02553	3/5/0	3/5/0	0.836412

cuda-release-cuda-dense-f64-v1-jacobi-prepared-fused1-host

Case	Candidate	Forward ms	Reverse ms	Median ms	Process range ms	Reverse/forward	Forward I/M/R	Reverse I/M/R	Max TrueR/tol
dense-64	cuda-native	1.044819	1.061816	1.053317	1.044819–1.061816	1.01627	5/7/0	5/7/0	0.0796191
dense-64	cuda-cublas	1.157545	1.094470	1.126008	1.094470–1.157545	0.94551	5/7/0	5/7/0	0.0796191
dense-64	torch-cuda-eager	2.607155	2.293962	2.450558	2.293962–2.607155	0.87987	5/7/0	5/7/0	0.0796191
dense-256	cuda-native	1.069243	1.297870	1.183556	1.069243–1.297870	1.21382	4/6/0	4/6/0	0.209854
dense-256	cuda-cublas	0.953793	1.032093	0.992942	0.953793–1.032093	1.08209	4/6/0	4/6/0	0.209854
dense-256	torch-cuda-eager	2.085648	2.256552	2.171100	2.085648–2.256552	1.08194	4/6/0	4/6/0	0.209854
dense-1024	cuda-native	1.273699	1.353054	1.313377	1.273699–1.353054	1.06230	4/6/0	4/6/0	0.013684
dense-1024	cuda-cublas	1.210381	1.136579	1.173480	1.136579–1.210381	0.93903	4/6/0	4/6/0	0.013684
dense-1024	torch-cuda-eager	2.109475	2.010085	2.059780	2.010085–2.109475	0.95288	4/6/0	4/6/0	0.013684
dense-2048	cuda-native	1.616982	1.583636	1.600310	1.583636–1.616982	0.97938	3/5/0	3/5/0	0.836412
dense-2048	cuda-cublas	1.438358	1.423598	1.430978	1.423598–1.438358	0.98974	3/5/0	3/5/0	0.836412
dense-2048	torch-cuda-eager	2.213152	2.096893	2.155022	2.096893–2.213152	0.94747	3/5/0	3/5/0	0.836412

cuda-release-cuda-dense-f64-v1-jacobi-prepared-fused1-device

Case	Candidate	Forward ms	Reverse ms	Median ms	Process range ms	Reverse/forward	Forward I/M/R	Reverse I/M/R	Max TrueR/tol
dense-64	cuda-native	0.771944	0.730599	0.751271	0.730599–0.771944	0.94644	5/7/0	5/7/0	0.0796191
dense-64	cuda-cublas	0.877695	0.829494	0.853595	0.829494–0.877695	0.94508	5/7/0	5/7/0	0.0796191
dense-64	torch-cuda-eager	2.338792	2.227499	2.283146	2.227499–2.338792	0.95241	5/7/0	5/7/0	0.0796191
dense-256	cuda-native	0.706674	0.726784	0.716729	0.706674–0.726784	1.02846	4/6/0	4/6/0	0.209854
dense-256	cuda-cublas	0.747998	0.758755	0.753377	0.747998–0.758755	1.01438	4/6/0	4/6/0	0.209854
dense-256	torch-cuda-eager	1.916270	1.884136	1.900203	1.884136–1.916270	0.98323	4/6/0	4/6/0	0.209854
dense-1024	cuda-native	1.077309	1.027431	1.052370	1.027431–1.077309	0.95370	4/6/0	4/6/0	0.013684
dense-1024	cuda-cublas	0.936435	0.874920	0.905678	0.874920–0.936435	0.93431	4/6/0	4/6/0	0.013684
dense-1024	torch-cuda-eager	2.197793	1.954895	2.076344	1.954895–2.197793	0.88948	4/6/0	4/6/0	0.013684
dense-2048	cuda-native	1.428058	1.448763	1.438411	1.428058–1.448763	1.01450	3/5/0	3/5/0	0.836412
dense-2048	cuda-cublas	1.404498	1.254845	1.329671	1.254845–1.404498	0.89345	3/5/0	3/5/0	0.836412
dense-2048	torch-cuda-eager	2.079083	1.953738	2.016411	1.953738–2.079083	0.93971	3/5/0	3/5/0	0.836412

cuda-release-cuda-csr-f64-v1-none-api-fused1-host

Case	Candidate	Forward ms	Reverse ms	Median ms	Process range ms	Reverse/forward	Forward I/M/R	Reverse I/M/R	Max TrueR/tol
poisson-8	cuda-native	3.885093	3.470811	3.677952	3.470811–3.885093	0.89337	26/28/0	26/28/0	0.579621
poisson-8	torch-cuda-eager	8.332026	7.167731	7.749878	7.167731–8.332026	0.86026	26/28/0	26/28/0	0.579621
poisson-32	cuda-native	18.332634	17.693562	18.013098	17.693562–18.332634	0.96514	118/122/2	118/122/2	0.840189
poisson-32	torch-cuda-eager	37.590233	33.008491	35.299362	33.008491–37.590233	0.87811	118/122/2	118/122/2	0.840189
poisson-64	cuda-native	30.250225	27.911440	29.080832	27.911440–30.250225	0.92269	201/207/4	201/207/4	0.907427
poisson-64	torch-cuda-eager	59.845757	56.827901	58.336829	56.827901–59.845757	0.94957	201/207/4	201/207/4	0.907427
poisson-128	cuda-native	92.288784	92.596307	92.442546	92.288784–92.596307	1.00333	627/641/12	627/641/12	0.989568
poisson-128	torch-cuda-eager	191.132182	190.753439	190.942811	190.753439–191.132182	0.99802	627/641/12	627/641/12	0.989568

cuda-release-cuda-csr-f64-v1-none-api-fused1-device

Case	Candidate	Forward ms	Reverse ms	Median ms	Process range ms	Reverse/forward	Forward I/M/R	Reverse I/M/R	Max TrueR/tol
poisson-8	cuda-native	2.559531	2.471026	2.515278	2.471026–2.559531	0.96542	26/28/0	26/28/0	0.579621
poisson-8	torch-cuda-eager	7.494133	6.983801	7.238967	6.983801–7.494133	0.93190	26/28/0	26/28/0	0.579621
poisson-32	cuda-native	12.514065	10.576862	11.545464	10.576862–12.514065	0.84520	118/122/2	118/122/2	0.840189
poisson-32	torch-cuda-eager	33.674654	33.387313	33.530983	33.387313–33.674654	0.99147	118/122/2	118/122/2	0.840189
poisson-64	cuda-native	21.703441	20.173485	20.938463	20.173485–21.703441	0.92951	201/207/4	201/207/4	0.907427
poisson-64	torch-cuda-eager	61.456304	55.143028	58.299666	55.143028–61.456304	0.89727	201/207/4	201/207/4	0.907427
poisson-128	cuda-native	61.918585	59.780676	60.849631	59.780676–61.918585	0.96547	627/641/12	627/641/12	0.989568
poisson-128	torch-cuda-eager	178.432959	170.958261	174.695610	170.958261–178.432959	0.95811	627/641/12	627/641/12	0.989568

cuda-release-cuda-csr-f64-v1-none-session-fused1-host

Case	Candidate	Forward ms	Reverse ms	Median ms	Process range ms	Reverse/forward	Forward I/M/R	Reverse I/M/R	Max TrueR/tol
poisson-8	cuda-native	3.767923	3.533099	3.650511	3.533099–3.767923	0.93768	26/28/0	26/28/0	0.579621
poisson-8	torch-cuda-eager	7.448449	7.125253	7.286851	7.125253–7.448449	0.95661	26/28/0	26/28/0	0.579621
poisson-32	cuda-native	16.587828	16.482698	16.535263	16.482698–16.587828	0.99366	118/122/2	118/122/2	0.840189
poisson-32	torch-cuda-eager	33.575213	32.759799	33.167506	32.759799–33.575213	0.97571	118/122/2	118/122/2	0.840189
poisson-64	cuda-native	29.062711	27.724816	28.393764	27.724816–29.062711	0.95397	201/207/4	201/207/4	0.907427
poisson-64	torch-cuda-eager	58.534835	54.955627	56.745231	54.955627–58.534835	0.93885	201/207/4	201/207/4	0.907427
poisson-128	cuda-native	97.000312	94.312532	95.656422	94.312532–97.000312	0.97229	627/641/12	627/641/12	0.989568
poisson-128	torch-cuda-eager	191.921350	186.011503	188.966427	186.011503–191.921350	0.96921	627/641/12	627/641/12	0.989568

cuda-release-cuda-csr-f64-v1-none-session-fused1-device

Case	Candidate	Forward ms	Reverse ms	Median ms	Process range ms	Reverse/forward	Forward I/M/R	Reverse I/M/R	Max TrueR/tol
poisson-8	cuda-native	2.650469	2.572040	2.611255	2.572040–2.650469	0.97041	26/28/0	26/28/0	0.579621
poisson-8	torch-cuda-eager	8.067220	7.341147	7.704184	7.341147–8.067220	0.91000	26/28/0	26/28/0	0.579621
poisson-32	cuda-native	13.120899	11.646092	12.383496	11.646092–13.120899	0.88760	118/122/2	118/122/2	0.840189
poisson-32	torch-cuda-eager	37.923114	35.256024	36.589569	35.256024–37.923114	0.92967	118/122/2	118/122/2	0.840189
poisson-64	cuda-native	20.516031	19.966020	20.241025	19.966020–20.516031	0.97319	201/207/4	201/207/4	0.907427
poisson-64	torch-cuda-eager	57.597618	58.968199	58.282909	57.597618–58.968199	1.02380	201/207/4	201/207/4	0.907427
poisson-128	cuda-native	59.537474	59.073042	59.305258	59.073042–59.537474	0.99220	627/641/12	627/641/12	0.989568
poisson-128	torch-cuda-eager	171.740273	168.622966	170.181620	168.622966–171.740273	0.98185	627/641/12	627/641/12	0.989568

cuda-release-cuda-csr-f64-v1-none-prepared-fused1-host

Case	Candidate	Forward ms	Reverse ms	Median ms	Process range ms	Reverse/forward	Forward I/M/R	Reverse I/M/R	Max TrueR/tol
poisson-8	cuda-native	3.529113	3.973931	3.751523	3.529113–3.973931	1.12604	26/28/0	26/28/0	0.579621
poisson-8	torch-cuda-eager	7.588621	8.627436	8.108028	7.588621–8.627436	1.13689	26/28/0	26/28/0	0.579621
poisson-32	cuda-native	16.878124	16.663894	16.771009	16.663894–16.878124	0.98731	118/122/2	118/122/2	0.840189
poisson-32	torch-cuda-eager	32.972352	32.989258	32.980805	32.972352–32.989258	1.00051	118/122/2	118/122/2	0.840189
poisson-64	cuda-native	27.467398	27.835566	27.651481	27.467398–27.835566	1.01340	201/207/4	201/207/4	0.907427
poisson-64	torch-cuda-eager	57.833641	56.870973	57.352307	56.870973–57.833641	0.98335	201/207/4	201/207/4	0.907427
poisson-128	cuda-native	91.217444	91.376964	91.297204	91.217444–91.376964	1.00175	627/641/12	627/641/12	0.989568
poisson-128	torch-cuda-eager	181.941115	181.987231	181.964173	181.941115–181.987231	1.00025	627/641/12	627/641/12	0.989568

cuda-release-cuda-csr-f64-v1-none-prepared-fused1-device

Case	Candidate	Forward ms	Reverse ms	Median ms	Process range ms	Reverse/forward	Forward I/M/R	Reverse I/M/R	Max TrueR/tol
poisson-8	cuda-native	2.588757	2.531217	2.559987	2.531217–2.588757	0.97777	26/28/0	26/28/0	0.579621
poisson-8	torch-cuda-eager	7.924133	7.271503	7.597818	7.271503–7.924133	0.91764	26/28/0	26/28/0	0.579621
poisson-32	cuda-native	11.774907	10.625133	11.200020	10.625133–11.774907	0.90235	118/122/2	118/122/2	0.840189
poisson-32	torch-cuda-eager	35.064780	32.848205	33.956492	32.848205–35.064780	0.93679	118/122/2	118/122/2	0.840189
poisson-64	cuda-native	20.476464	19.910350	20.193407	19.910350–20.476464	0.97235	201/207/4	201/207/4	0.907427
poisson-64	torch-cuda-eager	57.374994	55.168747	56.271871	55.168747–57.374994	0.96155	201/207/4	201/207/4	0.907427
poisson-128	cuda-native	60.620983	59.283214	59.952099	59.283214–60.620983	0.97793	627/641/12	627/641/12	0.989568
poisson-128	torch-cuda-eager	179.094012	173.430265	176.262139	173.430265–179.094012	0.96838	627/641/12	627/641/12	0.989568

cuda-release-cuda-csr-f64-v1-jacobi-api-fused1-host

Case	Candidate	Forward ms	Reverse ms	Median ms	Process range ms	Reverse/forward	Forward I/M/R	Reverse I/M/R	Max TrueR/tol
poisson-8	cuda-native	4.917222	4.944645	4.930934	4.917222–4.944645	1.00558	26/28/0	26/28/0	0.579621
poisson-8	torch-cuda-eager	11.312478	10.559404	10.935941	10.559404–11.312478	0.93343	26/28/0	26/28/0	0.579621
poisson-32	cuda-native	23.855392	23.817508	23.836450	23.817508–23.855392	0.99841	118/122/2	118/122/2	0.840189
poisson-32	torch-cuda-eager	47.499001	46.666033	47.082517	46.666033–47.499001	0.98246	118/122/2	118/122/2	0.840189
poisson-64	cuda-native	44.505910	43.449912	43.977911	43.449912–44.505910	0.97627	201/207/4	201/207/4	0.907427
poisson-64	torch-cuda-eager	90.658630	87.005657	88.832144	87.005657–90.658630	0.95971	201/207/4	201/207/4	0.907427
poisson-128	cuda-native	144.228448	135.515278	139.871863	135.515278–144.228448	0.93959	627/641/12	627/641/12	0.989568
poisson-128	torch-cuda-eager	272.165276	255.508382	263.836829	255.508382–272.165276	0.93880	627/641/12	627/641/12	0.989568

cuda-release-cuda-csr-f64-v1-jacobi-api-fused1-device

Case	Candidate	Forward ms	Reverse ms	Median ms	Process range ms	Reverse/forward	Forward I/M/R	Reverse I/M/R	Max TrueR/tol
poisson-8	cuda-native	3.013419	3.276654	3.145036	3.013419–3.276654	1.08735	26/28/0	26/28/0	0.579621
poisson-8	torch-cuda-eager	12.057346	12.522046	12.289696	12.057346–12.522046	1.03854	26/28/0	26/28/0	0.579621
poisson-32	cuda-native	14.902662	13.686991	14.294826	13.686991–14.902662	0.91843	118/122/2	118/122/2	0.840189
poisson-32	torch-cuda-eager	47.935492	42.489023	45.212257	42.489023–47.935492	0.88638	118/122/2	118/122/2	0.840189
poisson-64	cuda-native	23.798264	23.298237	23.548251	23.298237–23.798264	0.97899	201/207/4	201/207/4	0.907427
poisson-64	torch-cuda-eager	83.995767	79.299497	81.647632	79.299497–83.995767	0.94409	201/207/4	201/207/4	0.907427
poisson-128	cuda-native	70.821213	66.641038	68.731125	66.641038–70.821213	0.94098	627/641/12	627/641/12	0.989568
poisson-128	torch-cuda-eager	262.833375	238.693155	250.763265	238.693155–262.833375	0.90815	627/641/12	627/641/12	0.989568

cuda-release-cuda-csr-f64-v1-jacobi-session-fused1-host

Case	Candidate	Forward ms	Reverse ms	Median ms	Process range ms	Reverse/forward	Forward I/M/R	Reverse I/M/R	Max TrueR/tol
poisson-8	cuda-native	4.727530	5.082607	4.905068	4.727530–5.082607	1.07511	26/28/0	26/28/0	0.579621
poisson-8	torch-cuda-eager	10.034593	11.091574	10.563083	10.034593–11.091574	1.10533	26/28/0	26/28/0	0.579621
poisson-32	cuda-native	23.029080	25.046150	24.037616	23.029080–25.046150	1.08759	118/122/2	118/122/2	0.840189
poisson-32	torch-cuda-eager	45.495182	48.937574	47.216378	45.495182–48.937574	1.07566	118/122/2	118/122/2	0.840189
poisson-64	cuda-native	42.377652	46.052616	44.215134	42.377652–46.052616	1.08672	201/207/4	201/207/4	0.907427
poisson-64	torch-cuda-eager	83.706879	89.147672	86.427275	83.706879–89.147672	1.06500	201/207/4	201/207/4	0.907427
poisson-128	cuda-native	138.503123	131.591778	135.047450	131.591778–138.503123	0.95010	627/641/12	627/641/12	0.989568
poisson-128	torch-cuda-eager	262.359687	252.849628	257.604657	252.849628–262.359687	0.96375	627/641/12	627/641/12	0.989568

cuda-release-cuda-csr-f64-v1-jacobi-session-fused1-device

Case	Candidate	Forward ms	Reverse ms	Median ms	Process range ms	Reverse/forward	Forward I/M/R	Reverse I/M/R	Max TrueR/tol
poisson-8	cuda-native	3.240227	3.095162	3.167695	3.095162–3.240227	0.95523	26/28/0	26/28/0	0.579621
poisson-8	torch-cuda-eager	10.837675	11.948662	11.393169	10.837675–11.948662	1.10251	26/28/0	26/28/0	0.579621
poisson-32	cuda-native	14.637109	13.225475	13.931292	13.225475–14.637109	0.90356	118/122/2	118/122/2	0.840189
poisson-32	torch-cuda-eager	45.745833	48.401271	47.073552	45.745833–48.401271	1.05805	118/122/2	118/122/2	0.840189
poisson-64	cuda-native	23.800019	25.067473	24.433746	23.800019–25.067473	1.05325	201/207/4	201/207/4	0.907427
poisson-64	torch-cuda-eager	80.961163	83.952953	82.457058	80.961163–83.952953	1.03695	201/207/4	201/207/4	0.907427
poisson-128	cuda-native	62.192920	64.549769	63.371344	62.192920–64.549769	1.03790	627/641/12	627/641/12	0.989568
poisson-128	torch-cuda-eager	233.326570	235.204184	234.265377	233.326570–235.204184	1.00805	627/641/12	627/641/12	0.989568

cuda-release-cuda-csr-f64-v1-jacobi-prepared-fused1-host

Case	Candidate	Forward ms	Reverse ms	Median ms	Process range ms	Reverse/forward	Forward I/M/R	Reverse I/M/R	Max TrueR/tol
poisson-8	cuda-native	5.429498	4.937259	5.183378	4.937259–5.429498	0.90934	26/28/0	26/28/0	0.579621
poisson-8	torch-cuda-eager	10.741996	10.127461	10.434729	10.127461–10.741996	0.94279	26/28/0	26/28/0	0.579621
poisson-32	cuda-native	24.197599	23.290596	23.744098	23.290596–24.197599	0.96252	118/122/2	118/122/2	0.840189
poisson-32	torch-cuda-eager	47.050039	46.773108	46.911573	46.773108–47.050039	0.99411	118/122/2	118/122/2	0.840189
poisson-64	cuda-native	43.531404	39.209492	41.370448	39.209492–43.531404	0.90072	201/207/4	201/207/4	0.907427
poisson-64	torch-cuda-eager	84.338177	78.165466	81.251822	78.165466–84.338177	0.92681	201/207/4	201/207/4	0.907427
poisson-128	cuda-native	129.998343	127.608635	128.803489	127.608635–129.998343	0.98162	627/641/12	627/641/12	0.989568
poisson-128	torch-cuda-eager	256.056913	251.328148	253.692530	251.328148–256.056913	0.98153	627/641/12	627/641/12	0.989568

cuda-release-cuda-csr-f64-v1-jacobi-prepared-fused1-device

Case	Candidate	Forward ms	Reverse ms	Median ms	Process range ms	Reverse/forward	Forward I/M/R	Reverse I/M/R	Max TrueR/tol
poisson-8	cuda-native	2.905692	2.744146	2.824919	2.744146–2.905692	0.94440	26/28/0	26/28/0	0.579621
poisson-8	torch-cuda-eager	10.725719	9.886356	10.306037	9.886356–10.725719	0.92174	26/28/0	26/28/0	0.579621
poisson-32	cuda-native	13.556830	12.554493	13.055661	12.554493–13.556830	0.92606	118/122/2	118/122/2	0.840189
poisson-32	torch-cuda-eager	49.112409	45.048780	47.080595	45.048780–49.112409	0.91726	118/122/2	118/122/2	0.840189
poisson-64	cuda-native	23.852474	23.135055	23.493765	23.135055–23.852474	0.96992	201/207/4	201/207/4	0.907427
poisson-64	torch-cuda-eager	76.604730	81.722741	79.163735	76.604730–81.722741	1.06681	201/207/4	201/207/4	0.907427
poisson-128	cuda-native	66.953125	66.986375	66.969750	66.953125–66.986375	1.00050	627/641/12	627/641/12	0.989568
poisson-128	torch-cuda-eager	237.335892	238.938524	238.137208	237.335892–238.938524	1.00675	627/641/12	627/641/12	0.989568

Numerical-work observations

Same-configuration forward/reverse changes: 0.

Cross-scope/mode/preset groups with different observed work: 0. These groups are descriptive and do not fail the within-configuration gate. Their complete process observations remain in the analysis JSON.

Reproduction and retained evidence

Use the project-local installation steps in Installation and CUDA. Build before measuring; never use a frozen stage as BUILD_DIR. CPU and CUDA use their respective local environments and lock files. Check out the actual compiled source rather than a later merge head. New runs reproduce fixtures, scope and schedule contracts, not historical timings. The complete ignored driver, plans, raw files, logs and import sidecars remain local evidence and are not downloadable from this documentation. Public Make remains sufficient to rerun every configuration without the ignored audit tool.

git fetch origin tag benchmarks/restart-baseline-20261017
git switch --detach 1aae5d2d8c07243ce5e15b2fe04784ed24b12ad7
PROJECT="$PWD"
export OMP_DYNAMIC=FALSE MKL_DYNAMIC=FALSE
export CUBLAS_WORKSPACE_CONFIG=:4096:8
unset CUDA_LAUNCH_BLOCKING

Run these 54 commands in order, then in exact reverse order with distinct output names (-r02). Set all six thread variables to two only for the cpu-openmp rows, and one for every other row. CPU affinity is encoded in each command. The Make target may configure/build before its worker; for a quiet measurement, finish all builds first and use the equivalent public cgbench CLI from the plan, with PYTHONPATH pointing to that completed build. Compiler executable paths must resolve to the recorded versions; different toolchains create a new environment rather than reproducing this one.

env OMP_NUM_THREADS=1 OPENBLAS_NUM_THREADS=1 MKL_NUM_THREADS=1 BLIS_NUM_THREADS=1 VECLIB_MAXIMUM_THREADS=1 NUMEXPR_NUM_THREADS=1 taskset -c 0 make pyprof PRESET=cpu-release PYTHON="$PROJECT/.venv/bin/python" BUILD_DIR=build/reproduce-cpu-release PYPROF_SUITE=cpu-dense-f64-v1 PYPROF_SCOPE=api PYPROF_THREADS=1 PYPROF_ROUNDS=36 PYPROF_REPETITIONS=1 PYPROF_OUTPUT=build/restart-reproduction/cpu-release-cpu-dense-f64-v1-none-api-fused1-host-r01.json 'PYPROF_ARGS=--implementations native,numpy-out,torch-eager-out --seed 20261017 --algorithm standard --fused --preconditioner none --rtol 1e-8 --atol 1e-12 --maxiter 2000 --residual-refresh 50 --warmups 3' 'CMAKE_ARGS=-DCMAKE_CXX_COMPILER=/usr/bin/c++ -DCMAKE_CXX_FLAGS= '"'"'-DCMAKE_CXX_FLAGS_RELEASE=-O3 -DNDEBUG'"'"''
env OMP_NUM_THREADS=1 OPENBLAS_NUM_THREADS=1 MKL_NUM_THREADS=1 BLIS_NUM_THREADS=1 VECLIB_MAXIMUM_THREADS=1 NUMEXPR_NUM_THREADS=1 taskset -c 0 make pyprof PRESET=cpu-release PYTHON="$PROJECT/.venv/bin/python" BUILD_DIR=build/reproduce-cpu-release PYPROF_SUITE=cpu-dense-f64-v1 PYPROF_SCOPE=api PYPROF_THREADS=1 PYPROF_ROUNDS=36 PYPROF_REPETITIONS=1 PYPROF_OUTPUT=build/restart-reproduction/cpu-release-cpu-dense-f64-v1-none-api-fused0-host-r01.json 'PYPROF_ARGS=--implementations native,numpy-out,torch-eager-out --seed 20261017 --algorithm standard --no-fused --preconditioner none --rtol 1e-8 --atol 1e-12 --maxiter 2000 --residual-refresh 50 --warmups 3' 'CMAKE_ARGS=-DCMAKE_CXX_COMPILER=/usr/bin/c++ -DCMAKE_CXX_FLAGS= '"'"'-DCMAKE_CXX_FLAGS_RELEASE=-O3 -DNDEBUG'"'"''
env OMP_NUM_THREADS=1 OPENBLAS_NUM_THREADS=1 MKL_NUM_THREADS=1 BLIS_NUM_THREADS=1 VECLIB_MAXIMUM_THREADS=1 NUMEXPR_NUM_THREADS=1 taskset -c 0 make pyprof PRESET=cpu-release PYTHON="$PROJECT/.venv/bin/python" BUILD_DIR=build/reproduce-cpu-release PYPROF_SUITE=cpu-dense-f64-v1 PYPROF_SCOPE=prepared PYPROF_THREADS=1 PYPROF_ROUNDS=36 PYPROF_REPETITIONS=1 PYPROF_OUTPUT=build/restart-reproduction/cpu-release-cpu-dense-f64-v1-none-prepared-fused1-host-r01.json 'PYPROF_ARGS=--implementations native,numpy-out,torch-eager-out --seed 20261017 --algorithm standard --fused --preconditioner none --rtol 1e-8 --atol 1e-12 --maxiter 2000 --residual-refresh 50 --warmups 3' 'CMAKE_ARGS=-DCMAKE_CXX_COMPILER=/usr/bin/c++ -DCMAKE_CXX_FLAGS= '"'"'-DCMAKE_CXX_FLAGS_RELEASE=-O3 -DNDEBUG'"'"''
env OMP_NUM_THREADS=1 OPENBLAS_NUM_THREADS=1 MKL_NUM_THREADS=1 BLIS_NUM_THREADS=1 VECLIB_MAXIMUM_THREADS=1 NUMEXPR_NUM_THREADS=1 taskset -c 0 make pyprof PRESET=cpu-release PYTHON="$PROJECT/.venv/bin/python" BUILD_DIR=build/reproduce-cpu-release PYPROF_SUITE=cpu-dense-f64-v1 PYPROF_SCOPE=prepared PYPROF_THREADS=1 PYPROF_ROUNDS=36 PYPROF_REPETITIONS=1 PYPROF_OUTPUT=build/restart-reproduction/cpu-release-cpu-dense-f64-v1-none-prepared-fused0-host-r01.json 'PYPROF_ARGS=--implementations native,numpy-out,torch-eager-out --seed 20261017 --algorithm standard --no-fused --preconditioner none --rtol 1e-8 --atol 1e-12 --maxiter 2000 --residual-refresh 50 --warmups 3' 'CMAKE_ARGS=-DCMAKE_CXX_COMPILER=/usr/bin/c++ -DCMAKE_CXX_FLAGS= '"'"'-DCMAKE_CXX_FLAGS_RELEASE=-O3 -DNDEBUG'"'"''
env OMP_NUM_THREADS=1 OPENBLAS_NUM_THREADS=1 MKL_NUM_THREADS=1 BLIS_NUM_THREADS=1 VECLIB_MAXIMUM_THREADS=1 NUMEXPR_NUM_THREADS=1 taskset -c 0 make pyprof PRESET=cpu-release PYTHON="$PROJECT/.venv/bin/python" BUILD_DIR=build/reproduce-cpu-release PYPROF_SUITE=cpu-dense-f64-v1 PYPROF_SCOPE=api PYPROF_THREADS=1 PYPROF_ROUNDS=36 PYPROF_REPETITIONS=1 PYPROF_OUTPUT=build/restart-reproduction/cpu-release-cpu-dense-f64-v1-jacobi-api-fused1-host-r01.json 'PYPROF_ARGS=--implementations native,numpy-out,torch-eager-out --seed 20261017 --algorithm standard --fused --preconditioner jacobi --rtol 1e-8 --atol 1e-12 --maxiter 2000 --residual-refresh 50 --warmups 3' 'CMAKE_ARGS=-DCMAKE_CXX_COMPILER=/usr/bin/c++ -DCMAKE_CXX_FLAGS= '"'"'-DCMAKE_CXX_FLAGS_RELEASE=-O3 -DNDEBUG'"'"''
env OMP_NUM_THREADS=1 OPENBLAS_NUM_THREADS=1 MKL_NUM_THREADS=1 BLIS_NUM_THREADS=1 VECLIB_MAXIMUM_THREADS=1 NUMEXPR_NUM_THREADS=1 taskset -c 0 make pyprof PRESET=cpu-release PYTHON="$PROJECT/.venv/bin/python" BUILD_DIR=build/reproduce-cpu-release PYPROF_SUITE=cpu-dense-f64-v1 PYPROF_SCOPE=api PYPROF_THREADS=1 PYPROF_ROUNDS=36 PYPROF_REPETITIONS=1 PYPROF_OUTPUT=build/restart-reproduction/cpu-release-cpu-dense-f64-v1-jacobi-api-fused0-host-r01.json 'PYPROF_ARGS=--implementations native,numpy-out,torch-eager-out --seed 20261017 --algorithm standard --no-fused --preconditioner jacobi --rtol 1e-8 --atol 1e-12 --maxiter 2000 --residual-refresh 50 --warmups 3' 'CMAKE_ARGS=-DCMAKE_CXX_COMPILER=/usr/bin/c++ -DCMAKE_CXX_FLAGS= '"'"'-DCMAKE_CXX_FLAGS_RELEASE=-O3 -DNDEBUG'"'"''
env OMP_NUM_THREADS=1 OPENBLAS_NUM_THREADS=1 MKL_NUM_THREADS=1 BLIS_NUM_THREADS=1 VECLIB_MAXIMUM_THREADS=1 NUMEXPR_NUM_THREADS=1 taskset -c 0 make pyprof PRESET=cpu-release PYTHON="$PROJECT/.venv/bin/python" BUILD_DIR=build/reproduce-cpu-release PYPROF_SUITE=cpu-dense-f64-v1 PYPROF_SCOPE=prepared PYPROF_THREADS=1 PYPROF_ROUNDS=36 PYPROF_REPETITIONS=1 PYPROF_OUTPUT=build/restart-reproduction/cpu-release-cpu-dense-f64-v1-jacobi-prepared-fused1-host-r01.json 'PYPROF_ARGS=--implementations native,numpy-out,torch-eager-out --seed 20261017 --algorithm standard --fused --preconditioner jacobi --rtol 1e-8 --atol 1e-12 --maxiter 2000 --residual-refresh 50 --warmups 3' 'CMAKE_ARGS=-DCMAKE_CXX_COMPILER=/usr/bin/c++ -DCMAKE_CXX_FLAGS= '"'"'-DCMAKE_CXX_FLAGS_RELEASE=-O3 -DNDEBUG'"'"''
env OMP_NUM_THREADS=1 OPENBLAS_NUM_THREADS=1 MKL_NUM_THREADS=1 BLIS_NUM_THREADS=1 VECLIB_MAXIMUM_THREADS=1 NUMEXPR_NUM_THREADS=1 taskset -c 0 make pyprof PRESET=cpu-release PYTHON="$PROJECT/.venv/bin/python" BUILD_DIR=build/reproduce-cpu-release PYPROF_SUITE=cpu-dense-f64-v1 PYPROF_SCOPE=prepared PYPROF_THREADS=1 PYPROF_ROUNDS=36 PYPROF_REPETITIONS=1 PYPROF_OUTPUT=build/restart-reproduction/cpu-release-cpu-dense-f64-v1-jacobi-prepared-fused0-host-r01.json 'PYPROF_ARGS=--implementations native,numpy-out,torch-eager-out --seed 20261017 --algorithm standard --no-fused --preconditioner jacobi --rtol 1e-8 --atol 1e-12 --maxiter 2000 --residual-refresh 50 --warmups 3' 'CMAKE_ARGS=-DCMAKE_CXX_COMPILER=/usr/bin/c++ -DCMAKE_CXX_FLAGS= '"'"'-DCMAKE_CXX_FLAGS_RELEASE=-O3 -DNDEBUG'"'"''
env OMP_NUM_THREADS=1 OPENBLAS_NUM_THREADS=1 MKL_NUM_THREADS=1 BLIS_NUM_THREADS=1 VECLIB_MAXIMUM_THREADS=1 NUMEXPR_NUM_THREADS=1 taskset -c 0 make pyprof PRESET=cpu-blas PYTHON="$PROJECT/.venv/bin/python" BUILD_DIR=build/reproduce-cpu-blas PYPROF_SUITE=cpu-dense-f64-v1 PYPROF_SCOPE=api PYPROF_THREADS=1 PYPROF_ROUNDS=36 PYPROF_REPETITIONS=1 PYPROF_OUTPUT=build/restart-reproduction/cpu-blas-cpu-dense-f64-v1-none-api-fused1-host-r01.json 'PYPROF_ARGS=--implementations native,native-blas,numpy-out,torch-eager-out --seed 20261017 --algorithm standard --fused --preconditioner none --rtol 1e-8 --atol 1e-12 --maxiter 2000 --residual-refresh 50 --warmups 3' 'CMAKE_ARGS=-DCMAKE_CXX_COMPILER=/usr/bin/c++ -DCMAKE_CXX_FLAGS= '"'"'-DCMAKE_CXX_FLAGS_RELEASE=-O3 -DNDEBUG'"'"''
env OMP_NUM_THREADS=1 OPENBLAS_NUM_THREADS=1 MKL_NUM_THREADS=1 BLIS_NUM_THREADS=1 VECLIB_MAXIMUM_THREADS=1 NUMEXPR_NUM_THREADS=1 taskset -c 0 make pyprof PRESET=cpu-blas PYTHON="$PROJECT/.venv/bin/python" BUILD_DIR=build/reproduce-cpu-blas PYPROF_SUITE=cpu-dense-f64-v1 PYPROF_SCOPE=api PYPROF_THREADS=1 PYPROF_ROUNDS=36 PYPROF_REPETITIONS=1 PYPROF_OUTPUT=build/restart-reproduction/cpu-blas-cpu-dense-f64-v1-none-api-fused0-host-r01.json 'PYPROF_ARGS=--implementations native,native-blas,numpy-out,torch-eager-out --seed 20261017 --algorithm standard --no-fused --preconditioner none --rtol 1e-8 --atol 1e-12 --maxiter 2000 --residual-refresh 50 --warmups 3' 'CMAKE_ARGS=-DCMAKE_CXX_COMPILER=/usr/bin/c++ -DCMAKE_CXX_FLAGS= '"'"'-DCMAKE_CXX_FLAGS_RELEASE=-O3 -DNDEBUG'"'"''
env OMP_NUM_THREADS=1 OPENBLAS_NUM_THREADS=1 MKL_NUM_THREADS=1 BLIS_NUM_THREADS=1 VECLIB_MAXIMUM_THREADS=1 NUMEXPR_NUM_THREADS=1 taskset -c 0 make pyprof PRESET=cpu-blas PYTHON="$PROJECT/.venv/bin/python" BUILD_DIR=build/reproduce-cpu-blas PYPROF_SUITE=cpu-dense-f64-v1 PYPROF_SCOPE=prepared PYPROF_THREADS=1 PYPROF_ROUNDS=36 PYPROF_REPETITIONS=1 PYPROF_OUTPUT=build/restart-reproduction/cpu-blas-cpu-dense-f64-v1-none-prepared-fused1-host-r01.json 'PYPROF_ARGS=--implementations native,native-blas,numpy-out,torch-eager-out --seed 20261017 --algorithm standard --fused --preconditioner none --rtol 1e-8 --atol 1e-12 --maxiter 2000 --residual-refresh 50 --warmups 3' 'CMAKE_ARGS=-DCMAKE_CXX_COMPILER=/usr/bin/c++ -DCMAKE_CXX_FLAGS= '"'"'-DCMAKE_CXX_FLAGS_RELEASE=-O3 -DNDEBUG'"'"''
env OMP_NUM_THREADS=1 OPENBLAS_NUM_THREADS=1 MKL_NUM_THREADS=1 BLIS_NUM_THREADS=1 VECLIB_MAXIMUM_THREADS=1 NUMEXPR_NUM_THREADS=1 taskset -c 0 make pyprof PRESET=cpu-blas PYTHON="$PROJECT/.venv/bin/python" BUILD_DIR=build/reproduce-cpu-blas PYPROF_SUITE=cpu-dense-f64-v1 PYPROF_SCOPE=prepared PYPROF_THREADS=1 PYPROF_ROUNDS=36 PYPROF_REPETITIONS=1 PYPROF_OUTPUT=build/restart-reproduction/cpu-blas-cpu-dense-f64-v1-none-prepared-fused0-host-r01.json 'PYPROF_ARGS=--implementations native,native-blas,numpy-out,torch-eager-out --seed 20261017 --algorithm standard --no-fused --preconditioner none --rtol 1e-8 --atol 1e-12 --maxiter 2000 --residual-refresh 50 --warmups 3' 'CMAKE_ARGS=-DCMAKE_CXX_COMPILER=/usr/bin/c++ -DCMAKE_CXX_FLAGS= '"'"'-DCMAKE_CXX_FLAGS_RELEASE=-O3 -DNDEBUG'"'"''
env OMP_NUM_THREADS=1 OPENBLAS_NUM_THREADS=1 MKL_NUM_THREADS=1 BLIS_NUM_THREADS=1 VECLIB_MAXIMUM_THREADS=1 NUMEXPR_NUM_THREADS=1 taskset -c 0 make pyprof PRESET=cpu-blas PYTHON="$PROJECT/.venv/bin/python" BUILD_DIR=build/reproduce-cpu-blas PYPROF_SUITE=cpu-dense-f64-v1 PYPROF_SCOPE=api PYPROF_THREADS=1 PYPROF_ROUNDS=36 PYPROF_REPETITIONS=1 PYPROF_OUTPUT=build/restart-reproduction/cpu-blas-cpu-dense-f64-v1-jacobi-api-fused1-host-r01.json 'PYPROF_ARGS=--implementations native,native-blas,numpy-out,torch-eager-out --seed 20261017 --algorithm standard --fused --preconditioner jacobi --rtol 1e-8 --atol 1e-12 --maxiter 2000 --residual-refresh 50 --warmups 3' 'CMAKE_ARGS=-DCMAKE_CXX_COMPILER=/usr/bin/c++ -DCMAKE_CXX_FLAGS= '"'"'-DCMAKE_CXX_FLAGS_RELEASE=-O3 -DNDEBUG'"'"''
env OMP_NUM_THREADS=1 OPENBLAS_NUM_THREADS=1 MKL_NUM_THREADS=1 BLIS_NUM_THREADS=1 VECLIB_MAXIMUM_THREADS=1 NUMEXPR_NUM_THREADS=1 taskset -c 0 make pyprof PRESET=cpu-blas PYTHON="$PROJECT/.venv/bin/python" BUILD_DIR=build/reproduce-cpu-blas PYPROF_SUITE=cpu-dense-f64-v1 PYPROF_SCOPE=api PYPROF_THREADS=1 PYPROF_ROUNDS=36 PYPROF_REPETITIONS=1 PYPROF_OUTPUT=build/restart-reproduction/cpu-blas-cpu-dense-f64-v1-jacobi-api-fused0-host-r01.json 'PYPROF_ARGS=--implementations native,native-blas,numpy-out,torch-eager-out --seed 20261017 --algorithm standard --no-fused --preconditioner jacobi --rtol 1e-8 --atol 1e-12 --maxiter 2000 --residual-refresh 50 --warmups 3' 'CMAKE_ARGS=-DCMAKE_CXX_COMPILER=/usr/bin/c++ -DCMAKE_CXX_FLAGS= '"'"'-DCMAKE_CXX_FLAGS_RELEASE=-O3 -DNDEBUG'"'"''
env OMP_NUM_THREADS=1 OPENBLAS_NUM_THREADS=1 MKL_NUM_THREADS=1 BLIS_NUM_THREADS=1 VECLIB_MAXIMUM_THREADS=1 NUMEXPR_NUM_THREADS=1 taskset -c 0 make pyprof PRESET=cpu-blas PYTHON="$PROJECT/.venv/bin/python" BUILD_DIR=build/reproduce-cpu-blas PYPROF_SUITE=cpu-dense-f64-v1 PYPROF_SCOPE=prepared PYPROF_THREADS=1 PYPROF_ROUNDS=36 PYPROF_REPETITIONS=1 PYPROF_OUTPUT=build/restart-reproduction/cpu-blas-cpu-dense-f64-v1-jacobi-prepared-fused1-host-r01.json 'PYPROF_ARGS=--implementations native,native-blas,numpy-out,torch-eager-out --seed 20261017 --algorithm standard --fused --preconditioner jacobi --rtol 1e-8 --atol 1e-12 --maxiter 2000 --residual-refresh 50 --warmups 3' 'CMAKE_ARGS=-DCMAKE_CXX_COMPILER=/usr/bin/c++ -DCMAKE_CXX_FLAGS= '"'"'-DCMAKE_CXX_FLAGS_RELEASE=-O3 -DNDEBUG'"'"''
env OMP_NUM_THREADS=1 OPENBLAS_NUM_THREADS=1 MKL_NUM_THREADS=1 BLIS_NUM_THREADS=1 VECLIB_MAXIMUM_THREADS=1 NUMEXPR_NUM_THREADS=1 taskset -c 0 make pyprof PRESET=cpu-blas PYTHON="$PROJECT/.venv/bin/python" BUILD_DIR=build/reproduce-cpu-blas PYPROF_SUITE=cpu-dense-f64-v1 PYPROF_SCOPE=prepared PYPROF_THREADS=1 PYPROF_ROUNDS=36 PYPROF_REPETITIONS=1 PYPROF_OUTPUT=build/restart-reproduction/cpu-blas-cpu-dense-f64-v1-jacobi-prepared-fused0-host-r01.json 'PYPROF_ARGS=--implementations native,native-blas,numpy-out,torch-eager-out --seed 20261017 --algorithm standard --no-fused --preconditioner jacobi --rtol 1e-8 --atol 1e-12 --maxiter 2000 --residual-refresh 50 --warmups 3' 'CMAKE_ARGS=-DCMAKE_CXX_COMPILER=/usr/bin/c++ -DCMAKE_CXX_FLAGS= '"'"'-DCMAKE_CXX_FLAGS_RELEASE=-O3 -DNDEBUG'"'"''
env OMP_NUM_THREADS=1 OPENBLAS_NUM_THREADS=1 MKL_NUM_THREADS=1 BLIS_NUM_THREADS=1 VECLIB_MAXIMUM_THREADS=1 NUMEXPR_NUM_THREADS=1 taskset -c 0 make pyprof PRESET=cpu-release PYTHON="$PROJECT/.venv/bin/python" BUILD_DIR=build/reproduce-cpu-release PYPROF_SUITE=cpu-csr-f64-v1 PYPROF_SCOPE=api PYPROF_THREADS=1 PYPROF_ROUNDS=36 PYPROF_REPETITIONS=1 PYPROF_OUTPUT=build/restart-reproduction/cpu-release-cpu-csr-f64-v1-none-api-fused1-host-r01.json 'PYPROF_ARGS=--implementations native,scipy-out,torch-eager-out --seed 20261017 --algorithm standard --fused --preconditioner none --rtol 1e-8 --atol 1e-12 --maxiter 2000 --residual-refresh 50 --warmups 3' 'CMAKE_ARGS=-DCMAKE_CXX_COMPILER=/usr/bin/c++ -DCMAKE_CXX_FLAGS= '"'"'-DCMAKE_CXX_FLAGS_RELEASE=-O3 -DNDEBUG'"'"''
env OMP_NUM_THREADS=1 OPENBLAS_NUM_THREADS=1 MKL_NUM_THREADS=1 BLIS_NUM_THREADS=1 VECLIB_MAXIMUM_THREADS=1 NUMEXPR_NUM_THREADS=1 taskset -c 0 make pyprof PRESET=cpu-release PYTHON="$PROJECT/.venv/bin/python" BUILD_DIR=build/reproduce-cpu-release PYPROF_SUITE=cpu-csr-f64-v1 PYPROF_SCOPE=prepared PYPROF_THREADS=1 PYPROF_ROUNDS=36 PYPROF_REPETITIONS=1 PYPROF_OUTPUT=build/restart-reproduction/cpu-release-cpu-csr-f64-v1-none-prepared-fused1-host-r01.json 'PYPROF_ARGS=--implementations native,scipy-out,torch-eager-out --seed 20261017 --algorithm standard --fused --preconditioner none --rtol 1e-8 --atol 1e-12 --maxiter 2000 --residual-refresh 50 --warmups 3' 'CMAKE_ARGS=-DCMAKE_CXX_COMPILER=/usr/bin/c++ -DCMAKE_CXX_FLAGS= '"'"'-DCMAKE_CXX_FLAGS_RELEASE=-O3 -DNDEBUG'"'"''
env OMP_NUM_THREADS=1 OPENBLAS_NUM_THREADS=1 MKL_NUM_THREADS=1 BLIS_NUM_THREADS=1 VECLIB_MAXIMUM_THREADS=1 NUMEXPR_NUM_THREADS=1 taskset -c 0 make pyprof PRESET=cpu-release PYTHON="$PROJECT/.venv/bin/python" BUILD_DIR=build/reproduce-cpu-release PYPROF_SUITE=cpu-csr-f64-v1 PYPROF_SCOPE=api PYPROF_THREADS=1 PYPROF_ROUNDS=36 PYPROF_REPETITIONS=1 PYPROF_OUTPUT=build/restart-reproduction/cpu-release-cpu-csr-f64-v1-jacobi-api-fused1-host-r01.json 'PYPROF_ARGS=--implementations native,scipy-out,torch-eager-out --seed 20261017 --algorithm standard --fused --preconditioner jacobi --rtol 1e-8 --atol 1e-12 --maxiter 2000 --residual-refresh 50 --warmups 3' 'CMAKE_ARGS=-DCMAKE_CXX_COMPILER=/usr/bin/c++ -DCMAKE_CXX_FLAGS= '"'"'-DCMAKE_CXX_FLAGS_RELEASE=-O3 -DNDEBUG'"'"''
env OMP_NUM_THREADS=1 OPENBLAS_NUM_THREADS=1 MKL_NUM_THREADS=1 BLIS_NUM_THREADS=1 VECLIB_MAXIMUM_THREADS=1 NUMEXPR_NUM_THREADS=1 taskset -c 0 make pyprof PRESET=cpu-release PYTHON="$PROJECT/.venv/bin/python" BUILD_DIR=build/reproduce-cpu-release PYPROF_SUITE=cpu-csr-f64-v1 PYPROF_SCOPE=prepared PYPROF_THREADS=1 PYPROF_ROUNDS=36 PYPROF_REPETITIONS=1 PYPROF_OUTPUT=build/restart-reproduction/cpu-release-cpu-csr-f64-v1-jacobi-prepared-fused1-host-r01.json 'PYPROF_ARGS=--implementations native,scipy-out,torch-eager-out --seed 20261017 --algorithm standard --fused --preconditioner jacobi --rtol 1e-8 --atol 1e-12 --maxiter 2000 --residual-refresh 50 --warmups 3' 'CMAKE_ARGS=-DCMAKE_CXX_COMPILER=/usr/bin/c++ -DCMAKE_CXX_FLAGS= '"'"'-DCMAKE_CXX_FLAGS_RELEASE=-O3 -DNDEBUG'"'"''
env OMP_NUM_THREADS=2 OPENBLAS_NUM_THREADS=2 MKL_NUM_THREADS=2 BLIS_NUM_THREADS=2 VECLIB_MAXIMUM_THREADS=2 NUMEXPR_NUM_THREADS=2 taskset -c 0,2 make pyprof PRESET=cpu-openmp PYTHON="$PROJECT/.venv/bin/python" BUILD_DIR=build/reproduce-cpu-openmp PYPROF_SUITE=cpu-dense-f64-v1 PYPROF_SCOPE=api PYPROF_THREADS=2 PYPROF_ROUNDS=36 PYPROF_REPETITIONS=1 PYPROF_OUTPUT=build/restart-reproduction/cpu-openmp-cpu-dense-f64-v1-none-api-fused1-host-r01.json 'PYPROF_ARGS=--implementations native,numpy-out,torch-eager-out --seed 20261017 --algorithm standard --fused --preconditioner none --rtol 1e-8 --atol 1e-12 --maxiter 2000 --residual-refresh 50 --warmups 3' 'CMAKE_ARGS=-DCMAKE_CXX_COMPILER=/usr/bin/c++ -DCMAKE_CXX_FLAGS= '"'"'-DCMAKE_CXX_FLAGS_RELEASE=-O3 -DNDEBUG'"'"''
env OMP_NUM_THREADS=2 OPENBLAS_NUM_THREADS=2 MKL_NUM_THREADS=2 BLIS_NUM_THREADS=2 VECLIB_MAXIMUM_THREADS=2 NUMEXPR_NUM_THREADS=2 taskset -c 0,2 make pyprof PRESET=cpu-openmp PYTHON="$PROJECT/.venv/bin/python" BUILD_DIR=build/reproduce-cpu-openmp PYPROF_SUITE=cpu-dense-f64-v1 PYPROF_SCOPE=prepared PYPROF_THREADS=2 PYPROF_ROUNDS=36 PYPROF_REPETITIONS=1 PYPROF_OUTPUT=build/restart-reproduction/cpu-openmp-cpu-dense-f64-v1-none-prepared-fused1-host-r01.json 'PYPROF_ARGS=--implementations native,numpy-out,torch-eager-out --seed 20261017 --algorithm standard --fused --preconditioner none --rtol 1e-8 --atol 1e-12 --maxiter 2000 --residual-refresh 50 --warmups 3' 'CMAKE_ARGS=-DCMAKE_CXX_COMPILER=/usr/bin/c++ -DCMAKE_CXX_FLAGS= '"'"'-DCMAKE_CXX_FLAGS_RELEASE=-O3 -DNDEBUG'"'"''
env OMP_NUM_THREADS=2 OPENBLAS_NUM_THREADS=2 MKL_NUM_THREADS=2 BLIS_NUM_THREADS=2 VECLIB_MAXIMUM_THREADS=2 NUMEXPR_NUM_THREADS=2 taskset -c 0,2 make pyprof PRESET=cpu-openmp PYTHON="$PROJECT/.venv/bin/python" BUILD_DIR=build/reproduce-cpu-openmp PYPROF_SUITE=cpu-dense-f64-v1 PYPROF_SCOPE=api PYPROF_THREADS=2 PYPROF_ROUNDS=36 PYPROF_REPETITIONS=1 PYPROF_OUTPUT=build/restart-reproduction/cpu-openmp-cpu-dense-f64-v1-jacobi-api-fused1-host-r01.json 'PYPROF_ARGS=--implementations native,numpy-out,torch-eager-out --seed 20261017 --algorithm standard --fused --preconditioner jacobi --rtol 1e-8 --atol 1e-12 --maxiter 2000 --residual-refresh 50 --warmups 3' 'CMAKE_ARGS=-DCMAKE_CXX_COMPILER=/usr/bin/c++ -DCMAKE_CXX_FLAGS= '"'"'-DCMAKE_CXX_FLAGS_RELEASE=-O3 -DNDEBUG'"'"''
env OMP_NUM_THREADS=2 OPENBLAS_NUM_THREADS=2 MKL_NUM_THREADS=2 BLIS_NUM_THREADS=2 VECLIB_MAXIMUM_THREADS=2 NUMEXPR_NUM_THREADS=2 taskset -c 0,2 make pyprof PRESET=cpu-openmp PYTHON="$PROJECT/.venv/bin/python" BUILD_DIR=build/reproduce-cpu-openmp PYPROF_SUITE=cpu-dense-f64-v1 PYPROF_SCOPE=prepared PYPROF_THREADS=2 PYPROF_ROUNDS=36 PYPROF_REPETITIONS=1 PYPROF_OUTPUT=build/restart-reproduction/cpu-openmp-cpu-dense-f64-v1-jacobi-prepared-fused1-host-r01.json 'PYPROF_ARGS=--implementations native,numpy-out,torch-eager-out --seed 20261017 --algorithm standard --fused --preconditioner jacobi --rtol 1e-8 --atol 1e-12 --maxiter 2000 --residual-refresh 50 --warmups 3' 'CMAKE_ARGS=-DCMAKE_CXX_COMPILER=/usr/bin/c++ -DCMAKE_CXX_FLAGS= '"'"'-DCMAKE_CXX_FLAGS_RELEASE=-O3 -DNDEBUG'"'"''
env OMP_NUM_THREADS=2 OPENBLAS_NUM_THREADS=2 MKL_NUM_THREADS=2 BLIS_NUM_THREADS=2 VECLIB_MAXIMUM_THREADS=2 NUMEXPR_NUM_THREADS=2 taskset -c 0,2 make pyprof PRESET=cpu-openmp PYTHON="$PROJECT/.venv/bin/python" BUILD_DIR=build/reproduce-cpu-openmp PYPROF_SUITE=cpu-csr-f64-v1 PYPROF_SCOPE=api PYPROF_THREADS=2 PYPROF_ROUNDS=36 PYPROF_REPETITIONS=1 PYPROF_OUTPUT=build/restart-reproduction/cpu-openmp-cpu-csr-f64-v1-none-api-fused1-host-r01.json 'PYPROF_ARGS=--implementations native,scipy-out,torch-eager-out --seed 20261017 --algorithm standard --fused --preconditioner none --rtol 1e-8 --atol 1e-12 --maxiter 2000 --residual-refresh 50 --warmups 3' 'CMAKE_ARGS=-DCMAKE_CXX_COMPILER=/usr/bin/c++ -DCMAKE_CXX_FLAGS= '"'"'-DCMAKE_CXX_FLAGS_RELEASE=-O3 -DNDEBUG'"'"''
env OMP_NUM_THREADS=2 OPENBLAS_NUM_THREADS=2 MKL_NUM_THREADS=2 BLIS_NUM_THREADS=2 VECLIB_MAXIMUM_THREADS=2 NUMEXPR_NUM_THREADS=2 taskset -c 0,2 make pyprof PRESET=cpu-openmp PYTHON="$PROJECT/.venv/bin/python" BUILD_DIR=build/reproduce-cpu-openmp PYPROF_SUITE=cpu-csr-f64-v1 PYPROF_SCOPE=prepared PYPROF_THREADS=2 PYPROF_ROUNDS=36 PYPROF_REPETITIONS=1 PYPROF_OUTPUT=build/restart-reproduction/cpu-openmp-cpu-csr-f64-v1-none-prepared-fused1-host-r01.json 'PYPROF_ARGS=--implementations native,scipy-out,torch-eager-out --seed 20261017 --algorithm standard --fused --preconditioner none --rtol 1e-8 --atol 1e-12 --maxiter 2000 --residual-refresh 50 --warmups 3' 'CMAKE_ARGS=-DCMAKE_CXX_COMPILER=/usr/bin/c++ -DCMAKE_CXX_FLAGS= '"'"'-DCMAKE_CXX_FLAGS_RELEASE=-O3 -DNDEBUG'"'"''
env OMP_NUM_THREADS=2 OPENBLAS_NUM_THREADS=2 MKL_NUM_THREADS=2 BLIS_NUM_THREADS=2 VECLIB_MAXIMUM_THREADS=2 NUMEXPR_NUM_THREADS=2 taskset -c 0,2 make pyprof PRESET=cpu-openmp PYTHON="$PROJECT/.venv/bin/python" BUILD_DIR=build/reproduce-cpu-openmp PYPROF_SUITE=cpu-csr-f64-v1 PYPROF_SCOPE=api PYPROF_THREADS=2 PYPROF_ROUNDS=36 PYPROF_REPETITIONS=1 PYPROF_OUTPUT=build/restart-reproduction/cpu-openmp-cpu-csr-f64-v1-jacobi-api-fused1-host-r01.json 'PYPROF_ARGS=--implementations native,scipy-out,torch-eager-out --seed 20261017 --algorithm standard --fused --preconditioner jacobi --rtol 1e-8 --atol 1e-12 --maxiter 2000 --residual-refresh 50 --warmups 3' 'CMAKE_ARGS=-DCMAKE_CXX_COMPILER=/usr/bin/c++ -DCMAKE_CXX_FLAGS= '"'"'-DCMAKE_CXX_FLAGS_RELEASE=-O3 -DNDEBUG'"'"''
env OMP_NUM_THREADS=2 OPENBLAS_NUM_THREADS=2 MKL_NUM_THREADS=2 BLIS_NUM_THREADS=2 VECLIB_MAXIMUM_THREADS=2 NUMEXPR_NUM_THREADS=2 taskset -c 0,2 make pyprof PRESET=cpu-openmp PYTHON="$PROJECT/.venv/bin/python" BUILD_DIR=build/reproduce-cpu-openmp PYPROF_SUITE=cpu-csr-f64-v1 PYPROF_SCOPE=prepared PYPROF_THREADS=2 PYPROF_ROUNDS=36 PYPROF_REPETITIONS=1 PYPROF_OUTPUT=build/restart-reproduction/cpu-openmp-cpu-csr-f64-v1-jacobi-prepared-fused1-host-r01.json 'PYPROF_ARGS=--implementations native,scipy-out,torch-eager-out --seed 20261017 --algorithm standard --fused --preconditioner jacobi --rtol 1e-8 --atol 1e-12 --maxiter 2000 --residual-refresh 50 --warmups 3' 'CMAKE_ARGS=-DCMAKE_CXX_COMPILER=/usr/bin/c++ -DCMAKE_CXX_FLAGS= '"'"'-DCMAKE_CXX_FLAGS_RELEASE=-O3 -DNDEBUG'"'"''
env OMP_NUM_THREADS=1 OPENBLAS_NUM_THREADS=1 MKL_NUM_THREADS=1 BLIS_NUM_THREADS=1 VECLIB_MAXIMUM_THREADS=1 NUMEXPR_NUM_THREADS=1 taskset -c 0 make pyprof PRESET=cpu-release PYTHON="$PROJECT/.venv/bin/python" BUILD_DIR=build/reproduce-cpu-release PYPROF_SUITE=sparse-solvers PYPROF_SCOPE=api PYPROF_THREADS=1 PYPROF_ROUNDS=36 PYPROF_REPETITIONS=1 PYPROF_OUTPUT=build/restart-reproduction/cpu-release-sparse-solvers-none-api-fused1-host-r01.json 'PYPROF_ARGS=--implementations native-cg,native-pcg,scipy-cg,scipy-pcg,scipy-lu-total,scipy-lu-reuse --seed 20261017 --algorithm standard --fused --preconditioner none --rtol 1e-8 --atol 1e-12 --maxiter 2000 --residual-refresh 50 --warmups 3' 'CMAKE_ARGS=-DCMAKE_CXX_COMPILER=/usr/bin/c++ -DCMAKE_CXX_FLAGS= '"'"'-DCMAKE_CXX_FLAGS_RELEASE=-O3 -DNDEBUG'"'"''
env OMP_NUM_THREADS=1 OPENBLAS_NUM_THREADS=1 MKL_NUM_THREADS=1 BLIS_NUM_THREADS=1 VECLIB_MAXIMUM_THREADS=1 NUMEXPR_NUM_THREADS=1 taskset -c 0 make pyprof PRESET=cpu-release PYTHON="$PROJECT/.venv/bin/python" BUILD_DIR=build/reproduce-cpu-release PYPROF_SUITE=sparse-solvers PYPROF_SCOPE=prepared PYPROF_THREADS=1 PYPROF_ROUNDS=36 PYPROF_REPETITIONS=1 PYPROF_OUTPUT=build/restart-reproduction/cpu-release-sparse-solvers-none-prepared-fused1-host-r01.json 'PYPROF_ARGS=--implementations native-cg,native-pcg,scipy-cg,scipy-pcg,scipy-lu-total,scipy-lu-reuse --seed 20261017 --algorithm standard --fused --preconditioner none --rtol 1e-8 --atol 1e-12 --maxiter 2000 --residual-refresh 50 --warmups 3' 'CMAKE_ARGS=-DCMAKE_CXX_COMPILER=/usr/bin/c++ -DCMAKE_CXX_FLAGS= '"'"'-DCMAKE_CXX_FLAGS_RELEASE=-O3 -DNDEBUG'"'"''
env OMP_NUM_THREADS=1 OPENBLAS_NUM_THREADS=1 MKL_NUM_THREADS=1 BLIS_NUM_THREADS=1 VECLIB_MAXIMUM_THREADS=1 NUMEXPR_NUM_THREADS=1 taskset -c 0 make pyprof PRESET=cuda-release PYTHON="$PROJECT/.venv-cuda/bin/python" BUILD_DIR=build/reproduce-cuda-release PYPROF_SUITE=cuda-dense-f64-v1 PYPROF_SCOPE=api PYPROF_THREADS=1 PYPROF_ROUNDS=36 PYPROF_REPETITIONS=1 PYPROF_OUTPUT=build/restart-reproduction/cuda-release-cuda-dense-f64-v1-none-api-fused1-host-r01.json 'PYPROF_ARGS=--implementations cuda-native,cuda-cublas,torch-cuda-eager --seed 20261017 --algorithm standard --fused --preconditioner none --rtol 1e-8 --atol 1e-12 --maxiter 2000 --residual-refresh 50 --warmups 3 --device cuda --cuda-device 0 --cuda-execution-mode host' CUDA_HOST_COMPILER=/usr/bin/g++-13 CUDA_ARCHITECTURES=75 'CMAKE_ARGS=-DCMAKE_CXX_COMPILER=/usr/bin/g++-13 -DCMAKE_CXX_FLAGS= '"'"'-DCMAKE_CXX_FLAGS_RELEASE=-O3 -DNDEBUG'"'"' -DCMAKE_CUDA_FLAGS= '"'"'-DCMAKE_CUDA_FLAGS_RELEASE=-O3 -DNDEBUG'"'"''
env OMP_NUM_THREADS=1 OPENBLAS_NUM_THREADS=1 MKL_NUM_THREADS=1 BLIS_NUM_THREADS=1 VECLIB_MAXIMUM_THREADS=1 NUMEXPR_NUM_THREADS=1 taskset -c 0 make pyprof PRESET=cuda-release PYTHON="$PROJECT/.venv-cuda/bin/python" BUILD_DIR=build/reproduce-cuda-release PYPROF_SUITE=cuda-dense-f64-v1 PYPROF_SCOPE=api PYPROF_THREADS=1 PYPROF_ROUNDS=36 PYPROF_REPETITIONS=1 PYPROF_OUTPUT=build/restart-reproduction/cuda-release-cuda-dense-f64-v1-none-api-fused1-device-r01.json 'PYPROF_ARGS=--implementations cuda-native,cuda-cublas,torch-cuda-eager --seed 20261017 --algorithm standard --fused --preconditioner none --rtol 1e-8 --atol 1e-12 --maxiter 2000 --residual-refresh 50 --warmups 3 --device cuda --cuda-device 0 --cuda-execution-mode device' CUDA_HOST_COMPILER=/usr/bin/g++-13 CUDA_ARCHITECTURES=75 'CMAKE_ARGS=-DCMAKE_CXX_COMPILER=/usr/bin/g++-13 -DCMAKE_CXX_FLAGS= '"'"'-DCMAKE_CXX_FLAGS_RELEASE=-O3 -DNDEBUG'"'"' -DCMAKE_CUDA_FLAGS= '"'"'-DCMAKE_CUDA_FLAGS_RELEASE=-O3 -DNDEBUG'"'"''
env OMP_NUM_THREADS=1 OPENBLAS_NUM_THREADS=1 MKL_NUM_THREADS=1 BLIS_NUM_THREADS=1 VECLIB_MAXIMUM_THREADS=1 NUMEXPR_NUM_THREADS=1 taskset -c 0 make pyprof PRESET=cuda-release PYTHON="$PROJECT/.venv-cuda/bin/python" BUILD_DIR=build/reproduce-cuda-release PYPROF_SUITE=cuda-dense-f64-v1 PYPROF_SCOPE=session PYPROF_THREADS=1 PYPROF_ROUNDS=36 PYPROF_REPETITIONS=1 PYPROF_OUTPUT=build/restart-reproduction/cuda-release-cuda-dense-f64-v1-none-session-fused1-host-r01.json 'PYPROF_ARGS=--implementations cuda-native,cuda-cublas,torch-cuda-eager --seed 20261017 --algorithm standard --fused --preconditioner none --rtol 1e-8 --atol 1e-12 --maxiter 2000 --residual-refresh 50 --warmups 3 --device cuda --cuda-device 0 --cuda-execution-mode host' CUDA_HOST_COMPILER=/usr/bin/g++-13 CUDA_ARCHITECTURES=75 'CMAKE_ARGS=-DCMAKE_CXX_COMPILER=/usr/bin/g++-13 -DCMAKE_CXX_FLAGS= '"'"'-DCMAKE_CXX_FLAGS_RELEASE=-O3 -DNDEBUG'"'"' -DCMAKE_CUDA_FLAGS= '"'"'-DCMAKE_CUDA_FLAGS_RELEASE=-O3 -DNDEBUG'"'"''
env OMP_NUM_THREADS=1 OPENBLAS_NUM_THREADS=1 MKL_NUM_THREADS=1 BLIS_NUM_THREADS=1 VECLIB_MAXIMUM_THREADS=1 NUMEXPR_NUM_THREADS=1 taskset -c 0 make pyprof PRESET=cuda-release PYTHON="$PROJECT/.venv-cuda/bin/python" BUILD_DIR=build/reproduce-cuda-release PYPROF_SUITE=cuda-dense-f64-v1 PYPROF_SCOPE=session PYPROF_THREADS=1 PYPROF_ROUNDS=36 PYPROF_REPETITIONS=1 PYPROF_OUTPUT=build/restart-reproduction/cuda-release-cuda-dense-f64-v1-none-session-fused1-device-r01.json 'PYPROF_ARGS=--implementations cuda-native,cuda-cublas,torch-cuda-eager --seed 20261017 --algorithm standard --fused --preconditioner none --rtol 1e-8 --atol 1e-12 --maxiter 2000 --residual-refresh 50 --warmups 3 --device cuda --cuda-device 0 --cuda-execution-mode device' CUDA_HOST_COMPILER=/usr/bin/g++-13 CUDA_ARCHITECTURES=75 'CMAKE_ARGS=-DCMAKE_CXX_COMPILER=/usr/bin/g++-13 -DCMAKE_CXX_FLAGS= '"'"'-DCMAKE_CXX_FLAGS_RELEASE=-O3 -DNDEBUG'"'"' -DCMAKE_CUDA_FLAGS= '"'"'-DCMAKE_CUDA_FLAGS_RELEASE=-O3 -DNDEBUG'"'"''
env OMP_NUM_THREADS=1 OPENBLAS_NUM_THREADS=1 MKL_NUM_THREADS=1 BLIS_NUM_THREADS=1 VECLIB_MAXIMUM_THREADS=1 NUMEXPR_NUM_THREADS=1 taskset -c 0 make pyprof PRESET=cuda-release PYTHON="$PROJECT/.venv-cuda/bin/python" BUILD_DIR=build/reproduce-cuda-release PYPROF_SUITE=cuda-dense-f64-v1 PYPROF_SCOPE=prepared PYPROF_THREADS=1 PYPROF_ROUNDS=36 PYPROF_REPETITIONS=1 PYPROF_OUTPUT=build/restart-reproduction/cuda-release-cuda-dense-f64-v1-none-prepared-fused1-host-r01.json 'PYPROF_ARGS=--implementations cuda-native,cuda-cublas,torch-cuda-eager --seed 20261017 --algorithm standard --fused --preconditioner none --rtol 1e-8 --atol 1e-12 --maxiter 2000 --residual-refresh 50 --warmups 3 --device cuda --cuda-device 0 --cuda-execution-mode host' CUDA_HOST_COMPILER=/usr/bin/g++-13 CUDA_ARCHITECTURES=75 'CMAKE_ARGS=-DCMAKE_CXX_COMPILER=/usr/bin/g++-13 -DCMAKE_CXX_FLAGS= '"'"'-DCMAKE_CXX_FLAGS_RELEASE=-O3 -DNDEBUG'"'"' -DCMAKE_CUDA_FLAGS= '"'"'-DCMAKE_CUDA_FLAGS_RELEASE=-O3 -DNDEBUG'"'"''
env OMP_NUM_THREADS=1 OPENBLAS_NUM_THREADS=1 MKL_NUM_THREADS=1 BLIS_NUM_THREADS=1 VECLIB_MAXIMUM_THREADS=1 NUMEXPR_NUM_THREADS=1 taskset -c 0 make pyprof PRESET=cuda-release PYTHON="$PROJECT/.venv-cuda/bin/python" BUILD_DIR=build/reproduce-cuda-release PYPROF_SUITE=cuda-dense-f64-v1 PYPROF_SCOPE=prepared PYPROF_THREADS=1 PYPROF_ROUNDS=36 PYPROF_REPETITIONS=1 PYPROF_OUTPUT=build/restart-reproduction/cuda-release-cuda-dense-f64-v1-none-prepared-fused1-device-r01.json 'PYPROF_ARGS=--implementations cuda-native,cuda-cublas,torch-cuda-eager --seed 20261017 --algorithm standard --fused --preconditioner none --rtol 1e-8 --atol 1e-12 --maxiter 2000 --residual-refresh 50 --warmups 3 --device cuda --cuda-device 0 --cuda-execution-mode device' CUDA_HOST_COMPILER=/usr/bin/g++-13 CUDA_ARCHITECTURES=75 'CMAKE_ARGS=-DCMAKE_CXX_COMPILER=/usr/bin/g++-13 -DCMAKE_CXX_FLAGS= '"'"'-DCMAKE_CXX_FLAGS_RELEASE=-O3 -DNDEBUG'"'"' -DCMAKE_CUDA_FLAGS= '"'"'-DCMAKE_CUDA_FLAGS_RELEASE=-O3 -DNDEBUG'"'"''
env OMP_NUM_THREADS=1 OPENBLAS_NUM_THREADS=1 MKL_NUM_THREADS=1 BLIS_NUM_THREADS=1 VECLIB_MAXIMUM_THREADS=1 NUMEXPR_NUM_THREADS=1 taskset -c 0 make pyprof PRESET=cuda-release PYTHON="$PROJECT/.venv-cuda/bin/python" BUILD_DIR=build/reproduce-cuda-release PYPROF_SUITE=cuda-dense-f64-v1 PYPROF_SCOPE=api PYPROF_THREADS=1 PYPROF_ROUNDS=36 PYPROF_REPETITIONS=1 PYPROF_OUTPUT=build/restart-reproduction/cuda-release-cuda-dense-f64-v1-jacobi-api-fused1-host-r01.json 'PYPROF_ARGS=--implementations cuda-native,cuda-cublas,torch-cuda-eager --seed 20261017 --algorithm standard --fused --preconditioner jacobi --rtol 1e-8 --atol 1e-12 --maxiter 2000 --residual-refresh 50 --warmups 3 --device cuda --cuda-device 0 --cuda-execution-mode host' CUDA_HOST_COMPILER=/usr/bin/g++-13 CUDA_ARCHITECTURES=75 'CMAKE_ARGS=-DCMAKE_CXX_COMPILER=/usr/bin/g++-13 -DCMAKE_CXX_FLAGS= '"'"'-DCMAKE_CXX_FLAGS_RELEASE=-O3 -DNDEBUG'"'"' -DCMAKE_CUDA_FLAGS= '"'"'-DCMAKE_CUDA_FLAGS_RELEASE=-O3 -DNDEBUG'"'"''
env OMP_NUM_THREADS=1 OPENBLAS_NUM_THREADS=1 MKL_NUM_THREADS=1 BLIS_NUM_THREADS=1 VECLIB_MAXIMUM_THREADS=1 NUMEXPR_NUM_THREADS=1 taskset -c 0 make pyprof PRESET=cuda-release PYTHON="$PROJECT/.venv-cuda/bin/python" BUILD_DIR=build/reproduce-cuda-release PYPROF_SUITE=cuda-dense-f64-v1 PYPROF_SCOPE=api PYPROF_THREADS=1 PYPROF_ROUNDS=36 PYPROF_REPETITIONS=1 PYPROF_OUTPUT=build/restart-reproduction/cuda-release-cuda-dense-f64-v1-jacobi-api-fused1-device-r01.json 'PYPROF_ARGS=--implementations cuda-native,cuda-cublas,torch-cuda-eager --seed 20261017 --algorithm standard --fused --preconditioner jacobi --rtol 1e-8 --atol 1e-12 --maxiter 2000 --residual-refresh 50 --warmups 3 --device cuda --cuda-device 0 --cuda-execution-mode device' CUDA_HOST_COMPILER=/usr/bin/g++-13 CUDA_ARCHITECTURES=75 'CMAKE_ARGS=-DCMAKE_CXX_COMPILER=/usr/bin/g++-13 -DCMAKE_CXX_FLAGS= '"'"'-DCMAKE_CXX_FLAGS_RELEASE=-O3 -DNDEBUG'"'"' -DCMAKE_CUDA_FLAGS= '"'"'-DCMAKE_CUDA_FLAGS_RELEASE=-O3 -DNDEBUG'"'"''
env OMP_NUM_THREADS=1 OPENBLAS_NUM_THREADS=1 MKL_NUM_THREADS=1 BLIS_NUM_THREADS=1 VECLIB_MAXIMUM_THREADS=1 NUMEXPR_NUM_THREADS=1 taskset -c 0 make pyprof PRESET=cuda-release PYTHON="$PROJECT/.venv-cuda/bin/python" BUILD_DIR=build/reproduce-cuda-release PYPROF_SUITE=cuda-dense-f64-v1 PYPROF_SCOPE=session PYPROF_THREADS=1 PYPROF_ROUNDS=36 PYPROF_REPETITIONS=1 PYPROF_OUTPUT=build/restart-reproduction/cuda-release-cuda-dense-f64-v1-jacobi-session-fused1-host-r01.json 'PYPROF_ARGS=--implementations cuda-native,cuda-cublas,torch-cuda-eager --seed 20261017 --algorithm standard --fused --preconditioner jacobi --rtol 1e-8 --atol 1e-12 --maxiter 2000 --residual-refresh 50 --warmups 3 --device cuda --cuda-device 0 --cuda-execution-mode host' CUDA_HOST_COMPILER=/usr/bin/g++-13 CUDA_ARCHITECTURES=75 'CMAKE_ARGS=-DCMAKE_CXX_COMPILER=/usr/bin/g++-13 -DCMAKE_CXX_FLAGS= '"'"'-DCMAKE_CXX_FLAGS_RELEASE=-O3 -DNDEBUG'"'"' -DCMAKE_CUDA_FLAGS= '"'"'-DCMAKE_CUDA_FLAGS_RELEASE=-O3 -DNDEBUG'"'"''
env OMP_NUM_THREADS=1 OPENBLAS_NUM_THREADS=1 MKL_NUM_THREADS=1 BLIS_NUM_THREADS=1 VECLIB_MAXIMUM_THREADS=1 NUMEXPR_NUM_THREADS=1 taskset -c 0 make pyprof PRESET=cuda-release PYTHON="$PROJECT/.venv-cuda/bin/python" BUILD_DIR=build/reproduce-cuda-release PYPROF_SUITE=cuda-dense-f64-v1 PYPROF_SCOPE=session PYPROF_THREADS=1 PYPROF_ROUNDS=36 PYPROF_REPETITIONS=1 PYPROF_OUTPUT=build/restart-reproduction/cuda-release-cuda-dense-f64-v1-jacobi-session-fused1-device-r01.json 'PYPROF_ARGS=--implementations cuda-native,cuda-cublas,torch-cuda-eager --seed 20261017 --algorithm standard --fused --preconditioner jacobi --rtol 1e-8 --atol 1e-12 --maxiter 2000 --residual-refresh 50 --warmups 3 --device cuda --cuda-device 0 --cuda-execution-mode device' CUDA_HOST_COMPILER=/usr/bin/g++-13 CUDA_ARCHITECTURES=75 'CMAKE_ARGS=-DCMAKE_CXX_COMPILER=/usr/bin/g++-13 -DCMAKE_CXX_FLAGS= '"'"'-DCMAKE_CXX_FLAGS_RELEASE=-O3 -DNDEBUG'"'"' -DCMAKE_CUDA_FLAGS= '"'"'-DCMAKE_CUDA_FLAGS_RELEASE=-O3 -DNDEBUG'"'"''
env OMP_NUM_THREADS=1 OPENBLAS_NUM_THREADS=1 MKL_NUM_THREADS=1 BLIS_NUM_THREADS=1 VECLIB_MAXIMUM_THREADS=1 NUMEXPR_NUM_THREADS=1 taskset -c 0 make pyprof PRESET=cuda-release PYTHON="$PROJECT/.venv-cuda/bin/python" BUILD_DIR=build/reproduce-cuda-release PYPROF_SUITE=cuda-dense-f64-v1 PYPROF_SCOPE=prepared PYPROF_THREADS=1 PYPROF_ROUNDS=36 PYPROF_REPETITIONS=1 PYPROF_OUTPUT=build/restart-reproduction/cuda-release-cuda-dense-f64-v1-jacobi-prepared-fused1-host-r01.json 'PYPROF_ARGS=--implementations cuda-native,cuda-cublas,torch-cuda-eager --seed 20261017 --algorithm standard --fused --preconditioner jacobi --rtol 1e-8 --atol 1e-12 --maxiter 2000 --residual-refresh 50 --warmups 3 --device cuda --cuda-device 0 --cuda-execution-mode host' CUDA_HOST_COMPILER=/usr/bin/g++-13 CUDA_ARCHITECTURES=75 'CMAKE_ARGS=-DCMAKE_CXX_COMPILER=/usr/bin/g++-13 -DCMAKE_CXX_FLAGS= '"'"'-DCMAKE_CXX_FLAGS_RELEASE=-O3 -DNDEBUG'"'"' -DCMAKE_CUDA_FLAGS= '"'"'-DCMAKE_CUDA_FLAGS_RELEASE=-O3 -DNDEBUG'"'"''
env OMP_NUM_THREADS=1 OPENBLAS_NUM_THREADS=1 MKL_NUM_THREADS=1 BLIS_NUM_THREADS=1 VECLIB_MAXIMUM_THREADS=1 NUMEXPR_NUM_THREADS=1 taskset -c 0 make pyprof PRESET=cuda-release PYTHON="$PROJECT/.venv-cuda/bin/python" BUILD_DIR=build/reproduce-cuda-release PYPROF_SUITE=cuda-dense-f64-v1 PYPROF_SCOPE=prepared PYPROF_THREADS=1 PYPROF_ROUNDS=36 PYPROF_REPETITIONS=1 PYPROF_OUTPUT=build/restart-reproduction/cuda-release-cuda-dense-f64-v1-jacobi-prepared-fused1-device-r01.json 'PYPROF_ARGS=--implementations cuda-native,cuda-cublas,torch-cuda-eager --seed 20261017 --algorithm standard --fused --preconditioner jacobi --rtol 1e-8 --atol 1e-12 --maxiter 2000 --residual-refresh 50 --warmups 3 --device cuda --cuda-device 0 --cuda-execution-mode device' CUDA_HOST_COMPILER=/usr/bin/g++-13 CUDA_ARCHITECTURES=75 'CMAKE_ARGS=-DCMAKE_CXX_COMPILER=/usr/bin/g++-13 -DCMAKE_CXX_FLAGS= '"'"'-DCMAKE_CXX_FLAGS_RELEASE=-O3 -DNDEBUG'"'"' -DCMAKE_CUDA_FLAGS= '"'"'-DCMAKE_CUDA_FLAGS_RELEASE=-O3 -DNDEBUG'"'"''
env OMP_NUM_THREADS=1 OPENBLAS_NUM_THREADS=1 MKL_NUM_THREADS=1 BLIS_NUM_THREADS=1 VECLIB_MAXIMUM_THREADS=1 NUMEXPR_NUM_THREADS=1 taskset -c 0 make pyprof PRESET=cuda-release PYTHON="$PROJECT/.venv-cuda/bin/python" BUILD_DIR=build/reproduce-cuda-release PYPROF_SUITE=cuda-csr-f64-v1 PYPROF_SCOPE=api PYPROF_THREADS=1 PYPROF_ROUNDS=36 PYPROF_REPETITIONS=1 PYPROF_OUTPUT=build/restart-reproduction/cuda-release-cuda-csr-f64-v1-none-api-fused1-host-r01.json 'PYPROF_ARGS=--implementations cuda-native,torch-cuda-eager --seed 20261017 --algorithm standard --fused --preconditioner none --rtol 1e-8 --atol 1e-12 --maxiter 2000 --residual-refresh 50 --warmups 3 --device cuda --cuda-device 0 --cuda-execution-mode host' CUDA_HOST_COMPILER=/usr/bin/g++-13 CUDA_ARCHITECTURES=75 'CMAKE_ARGS=-DCMAKE_CXX_COMPILER=/usr/bin/g++-13 -DCMAKE_CXX_FLAGS= '"'"'-DCMAKE_CXX_FLAGS_RELEASE=-O3 -DNDEBUG'"'"' -DCMAKE_CUDA_FLAGS= '"'"'-DCMAKE_CUDA_FLAGS_RELEASE=-O3 -DNDEBUG'"'"''
env OMP_NUM_THREADS=1 OPENBLAS_NUM_THREADS=1 MKL_NUM_THREADS=1 BLIS_NUM_THREADS=1 VECLIB_MAXIMUM_THREADS=1 NUMEXPR_NUM_THREADS=1 taskset -c 0 make pyprof PRESET=cuda-release PYTHON="$PROJECT/.venv-cuda/bin/python" BUILD_DIR=build/reproduce-cuda-release PYPROF_SUITE=cuda-csr-f64-v1 PYPROF_SCOPE=api PYPROF_THREADS=1 PYPROF_ROUNDS=36 PYPROF_REPETITIONS=1 PYPROF_OUTPUT=build/restart-reproduction/cuda-release-cuda-csr-f64-v1-none-api-fused1-device-r01.json 'PYPROF_ARGS=--implementations cuda-native,torch-cuda-eager --seed 20261017 --algorithm standard --fused --preconditioner none --rtol 1e-8 --atol 1e-12 --maxiter 2000 --residual-refresh 50 --warmups 3 --device cuda --cuda-device 0 --cuda-execution-mode device' CUDA_HOST_COMPILER=/usr/bin/g++-13 CUDA_ARCHITECTURES=75 'CMAKE_ARGS=-DCMAKE_CXX_COMPILER=/usr/bin/g++-13 -DCMAKE_CXX_FLAGS= '"'"'-DCMAKE_CXX_FLAGS_RELEASE=-O3 -DNDEBUG'"'"' -DCMAKE_CUDA_FLAGS= '"'"'-DCMAKE_CUDA_FLAGS_RELEASE=-O3 -DNDEBUG'"'"''
env OMP_NUM_THREADS=1 OPENBLAS_NUM_THREADS=1 MKL_NUM_THREADS=1 BLIS_NUM_THREADS=1 VECLIB_MAXIMUM_THREADS=1 NUMEXPR_NUM_THREADS=1 taskset -c 0 make pyprof PRESET=cuda-release PYTHON="$PROJECT/.venv-cuda/bin/python" BUILD_DIR=build/reproduce-cuda-release PYPROF_SUITE=cuda-csr-f64-v1 PYPROF_SCOPE=session PYPROF_THREADS=1 PYPROF_ROUNDS=36 PYPROF_REPETITIONS=1 PYPROF_OUTPUT=build/restart-reproduction/cuda-release-cuda-csr-f64-v1-none-session-fused1-host-r01.json 'PYPROF_ARGS=--implementations cuda-native,torch-cuda-eager --seed 20261017 --algorithm standard --fused --preconditioner none --rtol 1e-8 --atol 1e-12 --maxiter 2000 --residual-refresh 50 --warmups 3 --device cuda --cuda-device 0 --cuda-execution-mode host' CUDA_HOST_COMPILER=/usr/bin/g++-13 CUDA_ARCHITECTURES=75 'CMAKE_ARGS=-DCMAKE_CXX_COMPILER=/usr/bin/g++-13 -DCMAKE_CXX_FLAGS= '"'"'-DCMAKE_CXX_FLAGS_RELEASE=-O3 -DNDEBUG'"'"' -DCMAKE_CUDA_FLAGS= '"'"'-DCMAKE_CUDA_FLAGS_RELEASE=-O3 -DNDEBUG'"'"''
env OMP_NUM_THREADS=1 OPENBLAS_NUM_THREADS=1 MKL_NUM_THREADS=1 BLIS_NUM_THREADS=1 VECLIB_MAXIMUM_THREADS=1 NUMEXPR_NUM_THREADS=1 taskset -c 0 make pyprof PRESET=cuda-release PYTHON="$PROJECT/.venv-cuda/bin/python" BUILD_DIR=build/reproduce-cuda-release PYPROF_SUITE=cuda-csr-f64-v1 PYPROF_SCOPE=session PYPROF_THREADS=1 PYPROF_ROUNDS=36 PYPROF_REPETITIONS=1 PYPROF_OUTPUT=build/restart-reproduction/cuda-release-cuda-csr-f64-v1-none-session-fused1-device-r01.json 'PYPROF_ARGS=--implementations cuda-native,torch-cuda-eager --seed 20261017 --algorithm standard --fused --preconditioner none --rtol 1e-8 --atol 1e-12 --maxiter 2000 --residual-refresh 50 --warmups 3 --device cuda --cuda-device 0 --cuda-execution-mode device' CUDA_HOST_COMPILER=/usr/bin/g++-13 CUDA_ARCHITECTURES=75 'CMAKE_ARGS=-DCMAKE_CXX_COMPILER=/usr/bin/g++-13 -DCMAKE_CXX_FLAGS= '"'"'-DCMAKE_CXX_FLAGS_RELEASE=-O3 -DNDEBUG'"'"' -DCMAKE_CUDA_FLAGS= '"'"'-DCMAKE_CUDA_FLAGS_RELEASE=-O3 -DNDEBUG'"'"''
env OMP_NUM_THREADS=1 OPENBLAS_NUM_THREADS=1 MKL_NUM_THREADS=1 BLIS_NUM_THREADS=1 VECLIB_MAXIMUM_THREADS=1 NUMEXPR_NUM_THREADS=1 taskset -c 0 make pyprof PRESET=cuda-release PYTHON="$PROJECT/.venv-cuda/bin/python" BUILD_DIR=build/reproduce-cuda-release PYPROF_SUITE=cuda-csr-f64-v1 PYPROF_SCOPE=prepared PYPROF_THREADS=1 PYPROF_ROUNDS=36 PYPROF_REPETITIONS=1 PYPROF_OUTPUT=build/restart-reproduction/cuda-release-cuda-csr-f64-v1-none-prepared-fused1-host-r01.json 'PYPROF_ARGS=--implementations cuda-native,torch-cuda-eager --seed 20261017 --algorithm standard --fused --preconditioner none --rtol 1e-8 --atol 1e-12 --maxiter 2000 --residual-refresh 50 --warmups 3 --device cuda --cuda-device 0 --cuda-execution-mode host' CUDA_HOST_COMPILER=/usr/bin/g++-13 CUDA_ARCHITECTURES=75 'CMAKE_ARGS=-DCMAKE_CXX_COMPILER=/usr/bin/g++-13 -DCMAKE_CXX_FLAGS= '"'"'-DCMAKE_CXX_FLAGS_RELEASE=-O3 -DNDEBUG'"'"' -DCMAKE_CUDA_FLAGS= '"'"'-DCMAKE_CUDA_FLAGS_RELEASE=-O3 -DNDEBUG'"'"''
env OMP_NUM_THREADS=1 OPENBLAS_NUM_THREADS=1 MKL_NUM_THREADS=1 BLIS_NUM_THREADS=1 VECLIB_MAXIMUM_THREADS=1 NUMEXPR_NUM_THREADS=1 taskset -c 0 make pyprof PRESET=cuda-release PYTHON="$PROJECT/.venv-cuda/bin/python" BUILD_DIR=build/reproduce-cuda-release PYPROF_SUITE=cuda-csr-f64-v1 PYPROF_SCOPE=prepared PYPROF_THREADS=1 PYPROF_ROUNDS=36 PYPROF_REPETITIONS=1 PYPROF_OUTPUT=build/restart-reproduction/cuda-release-cuda-csr-f64-v1-none-prepared-fused1-device-r01.json 'PYPROF_ARGS=--implementations cuda-native,torch-cuda-eager --seed 20261017 --algorithm standard --fused --preconditioner none --rtol 1e-8 --atol 1e-12 --maxiter 2000 --residual-refresh 50 --warmups 3 --device cuda --cuda-device 0 --cuda-execution-mode device' CUDA_HOST_COMPILER=/usr/bin/g++-13 CUDA_ARCHITECTURES=75 'CMAKE_ARGS=-DCMAKE_CXX_COMPILER=/usr/bin/g++-13 -DCMAKE_CXX_FLAGS= '"'"'-DCMAKE_CXX_FLAGS_RELEASE=-O3 -DNDEBUG'"'"' -DCMAKE_CUDA_FLAGS= '"'"'-DCMAKE_CUDA_FLAGS_RELEASE=-O3 -DNDEBUG'"'"''
env OMP_NUM_THREADS=1 OPENBLAS_NUM_THREADS=1 MKL_NUM_THREADS=1 BLIS_NUM_THREADS=1 VECLIB_MAXIMUM_THREADS=1 NUMEXPR_NUM_THREADS=1 taskset -c 0 make pyprof PRESET=cuda-release PYTHON="$PROJECT/.venv-cuda/bin/python" BUILD_DIR=build/reproduce-cuda-release PYPROF_SUITE=cuda-csr-f64-v1 PYPROF_SCOPE=api PYPROF_THREADS=1 PYPROF_ROUNDS=36 PYPROF_REPETITIONS=1 PYPROF_OUTPUT=build/restart-reproduction/cuda-release-cuda-csr-f64-v1-jacobi-api-fused1-host-r01.json 'PYPROF_ARGS=--implementations cuda-native,torch-cuda-eager --seed 20261017 --algorithm standard --fused --preconditioner jacobi --rtol 1e-8 --atol 1e-12 --maxiter 2000 --residual-refresh 50 --warmups 3 --device cuda --cuda-device 0 --cuda-execution-mode host' CUDA_HOST_COMPILER=/usr/bin/g++-13 CUDA_ARCHITECTURES=75 'CMAKE_ARGS=-DCMAKE_CXX_COMPILER=/usr/bin/g++-13 -DCMAKE_CXX_FLAGS= '"'"'-DCMAKE_CXX_FLAGS_RELEASE=-O3 -DNDEBUG'"'"' -DCMAKE_CUDA_FLAGS= '"'"'-DCMAKE_CUDA_FLAGS_RELEASE=-O3 -DNDEBUG'"'"''
env OMP_NUM_THREADS=1 OPENBLAS_NUM_THREADS=1 MKL_NUM_THREADS=1 BLIS_NUM_THREADS=1 VECLIB_MAXIMUM_THREADS=1 NUMEXPR_NUM_THREADS=1 taskset -c 0 make pyprof PRESET=cuda-release PYTHON="$PROJECT/.venv-cuda/bin/python" BUILD_DIR=build/reproduce-cuda-release PYPROF_SUITE=cuda-csr-f64-v1 PYPROF_SCOPE=api PYPROF_THREADS=1 PYPROF_ROUNDS=36 PYPROF_REPETITIONS=1 PYPROF_OUTPUT=build/restart-reproduction/cuda-release-cuda-csr-f64-v1-jacobi-api-fused1-device-r01.json 'PYPROF_ARGS=--implementations cuda-native,torch-cuda-eager --seed 20261017 --algorithm standard --fused --preconditioner jacobi --rtol 1e-8 --atol 1e-12 --maxiter 2000 --residual-refresh 50 --warmups 3 --device cuda --cuda-device 0 --cuda-execution-mode device' CUDA_HOST_COMPILER=/usr/bin/g++-13 CUDA_ARCHITECTURES=75 'CMAKE_ARGS=-DCMAKE_CXX_COMPILER=/usr/bin/g++-13 -DCMAKE_CXX_FLAGS= '"'"'-DCMAKE_CXX_FLAGS_RELEASE=-O3 -DNDEBUG'"'"' -DCMAKE_CUDA_FLAGS= '"'"'-DCMAKE_CUDA_FLAGS_RELEASE=-O3 -DNDEBUG'"'"''
env OMP_NUM_THREADS=1 OPENBLAS_NUM_THREADS=1 MKL_NUM_THREADS=1 BLIS_NUM_THREADS=1 VECLIB_MAXIMUM_THREADS=1 NUMEXPR_NUM_THREADS=1 taskset -c 0 make pyprof PRESET=cuda-release PYTHON="$PROJECT/.venv-cuda/bin/python" BUILD_DIR=build/reproduce-cuda-release PYPROF_SUITE=cuda-csr-f64-v1 PYPROF_SCOPE=session PYPROF_THREADS=1 PYPROF_ROUNDS=36 PYPROF_REPETITIONS=1 PYPROF_OUTPUT=build/restart-reproduction/cuda-release-cuda-csr-f64-v1-jacobi-session-fused1-host-r01.json 'PYPROF_ARGS=--implementations cuda-native,torch-cuda-eager --seed 20261017 --algorithm standard --fused --preconditioner jacobi --rtol 1e-8 --atol 1e-12 --maxiter 2000 --residual-refresh 50 --warmups 3 --device cuda --cuda-device 0 --cuda-execution-mode host' CUDA_HOST_COMPILER=/usr/bin/g++-13 CUDA_ARCHITECTURES=75 'CMAKE_ARGS=-DCMAKE_CXX_COMPILER=/usr/bin/g++-13 -DCMAKE_CXX_FLAGS= '"'"'-DCMAKE_CXX_FLAGS_RELEASE=-O3 -DNDEBUG'"'"' -DCMAKE_CUDA_FLAGS= '"'"'-DCMAKE_CUDA_FLAGS_RELEASE=-O3 -DNDEBUG'"'"''
env OMP_NUM_THREADS=1 OPENBLAS_NUM_THREADS=1 MKL_NUM_THREADS=1 BLIS_NUM_THREADS=1 VECLIB_MAXIMUM_THREADS=1 NUMEXPR_NUM_THREADS=1 taskset -c 0 make pyprof PRESET=cuda-release PYTHON="$PROJECT/.venv-cuda/bin/python" BUILD_DIR=build/reproduce-cuda-release PYPROF_SUITE=cuda-csr-f64-v1 PYPROF_SCOPE=session PYPROF_THREADS=1 PYPROF_ROUNDS=36 PYPROF_REPETITIONS=1 PYPROF_OUTPUT=build/restart-reproduction/cuda-release-cuda-csr-f64-v1-jacobi-session-fused1-device-r01.json 'PYPROF_ARGS=--implementations cuda-native,torch-cuda-eager --seed 20261017 --algorithm standard --fused --preconditioner jacobi --rtol 1e-8 --atol 1e-12 --maxiter 2000 --residual-refresh 50 --warmups 3 --device cuda --cuda-device 0 --cuda-execution-mode device' CUDA_HOST_COMPILER=/usr/bin/g++-13 CUDA_ARCHITECTURES=75 'CMAKE_ARGS=-DCMAKE_CXX_COMPILER=/usr/bin/g++-13 -DCMAKE_CXX_FLAGS= '"'"'-DCMAKE_CXX_FLAGS_RELEASE=-O3 -DNDEBUG'"'"' -DCMAKE_CUDA_FLAGS= '"'"'-DCMAKE_CUDA_FLAGS_RELEASE=-O3 -DNDEBUG'"'"''
env OMP_NUM_THREADS=1 OPENBLAS_NUM_THREADS=1 MKL_NUM_THREADS=1 BLIS_NUM_THREADS=1 VECLIB_MAXIMUM_THREADS=1 NUMEXPR_NUM_THREADS=1 taskset -c 0 make pyprof PRESET=cuda-release PYTHON="$PROJECT/.venv-cuda/bin/python" BUILD_DIR=build/reproduce-cuda-release PYPROF_SUITE=cuda-csr-f64-v1 PYPROF_SCOPE=prepared PYPROF_THREADS=1 PYPROF_ROUNDS=36 PYPROF_REPETITIONS=1 PYPROF_OUTPUT=build/restart-reproduction/cuda-release-cuda-csr-f64-v1-jacobi-prepared-fused1-host-r01.json 'PYPROF_ARGS=--implementations cuda-native,torch-cuda-eager --seed 20261017 --algorithm standard --fused --preconditioner jacobi --rtol 1e-8 --atol 1e-12 --maxiter 2000 --residual-refresh 50 --warmups 3 --device cuda --cuda-device 0 --cuda-execution-mode host' CUDA_HOST_COMPILER=/usr/bin/g++-13 CUDA_ARCHITECTURES=75 'CMAKE_ARGS=-DCMAKE_CXX_COMPILER=/usr/bin/g++-13 -DCMAKE_CXX_FLAGS= '"'"'-DCMAKE_CXX_FLAGS_RELEASE=-O3 -DNDEBUG'"'"' -DCMAKE_CUDA_FLAGS= '"'"'-DCMAKE_CUDA_FLAGS_RELEASE=-O3 -DNDEBUG'"'"''
env OMP_NUM_THREADS=1 OPENBLAS_NUM_THREADS=1 MKL_NUM_THREADS=1 BLIS_NUM_THREADS=1 VECLIB_MAXIMUM_THREADS=1 NUMEXPR_NUM_THREADS=1 taskset -c 0 make pyprof PRESET=cuda-release PYTHON="$PROJECT/.venv-cuda/bin/python" BUILD_DIR=build/reproduce-cuda-release PYPROF_SUITE=cuda-csr-f64-v1 PYPROF_SCOPE=prepared PYPROF_THREADS=1 PYPROF_ROUNDS=36 PYPROF_REPETITIONS=1 PYPROF_OUTPUT=build/restart-reproduction/cuda-release-cuda-csr-f64-v1-jacobi-prepared-fused1-device-r01.json 'PYPROF_ARGS=--implementations cuda-native,torch-cuda-eager --seed 20261017 --algorithm standard --fused --preconditioner jacobi --rtol 1e-8 --atol 1e-12 --maxiter 2000 --residual-refresh 50 --warmups 3 --device cuda --cuda-device 0 --cuda-execution-mode device' CUDA_HOST_COMPILER=/usr/bin/g++-13 CUDA_ARCHITECTURES=75 'CMAKE_ARGS=-DCMAKE_CXX_COMPILER=/usr/bin/g++-13 -DCMAKE_CXX_FLAGS= '"'"'-DCMAKE_CXX_FLAGS_RELEASE=-O3 -DNDEBUG'"'"' -DCMAKE_CUDA_FLAGS= '"'"'-DCMAKE_CUDA_FLAGS_RELEASE=-O3 -DNDEBUG'"'"''

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Original stopped-campaign evidence

Path	SHA256
build/restart-optimization-20261017/baseline/plan.json	ed77eac6d083b80fa6e18aa652e854c960b1193e1c6771ceb20afc485359661c
build/restart-optimization-20261017/baseline/manifest.json	6f6c83cc68817bf5b37d96367a97dc86623b3d275bf797494fda94d526a9940d
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Frozen audit and worker source provenance

Path	SHA256
build/restart-optimization-20261017/run_baseline.py	b368f781a3aa6516e366770b2d1f8c57df04da0f21f1c0274331c913ecc1ba51
build/restart-optimization-20261017/protocol.py	8814adcd9e90fa800e3654c248b1554fbc19e74a4a773dfcbe61e60187afdc0c
build/restart-optimization-20261017/worker.py	038fa8530e6ed876f52dcea09497e804840f74ebabb008d4adaa99db24f9456c
build/restart-optimization-20261017/freeze_stage.py	ea90c787125e9bb2f7977f40a25e5d4fe4e94afbe2a237b2dc3893ca678b68ab
build/restart-optimization-20261017/README.md	3f308246cf5540f79b24b43bd492cd57b35b6fe7e1f8c1e7a2977f6165cbea14
build/performance-optimization/ab_runner.py	54668d5459fec4041f125d21d38a6fc73074c5b7dedc539a765a8bde254c7ace
build/performance-optimization/run_baseline.py	213afaa21053d4f65dea506158dc65d60cc4587033bc388d0efccb362e76233f
build/restart-optimization-20261017/baseline-audit-repair/run_baseline.py	7173f06e038d6de74596ec06c506136705d3be7a8a346f6d3cb9d235c77d7cff
build/restart-optimization-20261017/baseline-audit-repair/protocol.py	5276f6ddface2b5011df30c4feea845e4ccd91e90b00d9d8c0bf092315f9dced
build/restart-optimization-20261017/baseline-audit-repair/worker.py	038fa8530e6ed876f52dcea09497e804840f74ebabb008d4adaa99db24f9456c
build/restart-optimization-20261017/baseline-audit-repair/freeze_stage.py	ea90c787125e9bb2f7977f40a25e5d4fe4e94afbe2a237b2dc3893ca678b68ab
build/restart-optimization-20261017/baseline-audit-repair/README.md	7ba0ff2cc21ce90529945aa3c84b13b9a40a4a8d90ab00ad5de9a18e73e2cc55

All retained raw/import sidecars

Run	Raw path	Raw SHA256	Imports SHA256	Log SHA256	Reused
cpu-release-cpu-dense-f64-v1-none-api-fused1-host-r01	build/restart-optimization-20261017/baseline/raw/cpu-release-cpu-dense-f64-v1-none-api-fused1-host-r01.json	e09c132dddf75e5246c905803e557c914a91ff1c7fa4b2fa0c2ac1f6ceda1d35	db17fc4354eedf73a413ffd0c11fdd422ae5b54c804309e67dc5d5f81cec8a63	7def3c9a304665391c3a3426de90893720e68bbd3e2544c754fa0d3948a4dc81	True
cpu-release-cpu-dense-f64-v1-none-api-fused0-host-r01	build/restart-optimization-20261017/baseline/raw/cpu-release-cpu-dense-f64-v1-none-api-fused0-host-r01.json	c7665f7ecc2b9fa954ace21ee9e816eea80be75567472f8b6c8b4c72b1b27dae	63d89cd4ca9bf8d2281945361c0e215b29fa5366bfc11b89d76226799dad3a04	e20e719f06f135b2ab1d1c6faeab7a104554a79418e148423d563a8c9bf9386c	True
cpu-release-cpu-dense-f64-v1-none-prepared-fused1-host-r01	build/restart-optimization-20261017/baseline/raw/cpu-release-cpu-dense-f64-v1-none-prepared-fused1-host-r01.json	f65fc27cb8456826cbdbb0cd5f784e59981a0540f88a1b6b0481fbc0e892c7c5	f2ccb39ba2fb0b200dc3be6241fb2fe539a7012d6581eab74f5e91ef063dae9d	5c4935516f9824799163e168e7b905ed6c5324d2310d03a09db22e20a871848d	True
cpu-release-cpu-dense-f64-v1-none-prepared-fused0-host-r01	build/restart-optimization-20261017/baseline/raw/cpu-release-cpu-dense-f64-v1-none-prepared-fused0-host-r01.json	999a407c7a2cfa9224bd1789a0e58e7a6dc2211d2be239147abeb23c1789eb75	adc18e2a6c03565c793133bbbf9ca0835c4fb87370c49b77ce5d2d84dc9110cd	df9d2f657f81de88d6007e346ef92c6422b14c8521f18c31e4f9d67f84b21483	True
cpu-release-cpu-dense-f64-v1-jacobi-api-fused1-host-r01	build/restart-optimization-20261017/baseline/raw/cpu-release-cpu-dense-f64-v1-jacobi-api-fused1-host-r01.json	035ce8718526786e034cf17f6ea70eb7366dda48bc6b83a78d9a2bdd1b817607	7a68607f0ae261e6a00ed9307da66757d26398e3206838ea71564850c58995e6	b51580a1c174434b139a0166dca4d1be2b47328346b371b9c01fa2d079a93d87	True
cpu-release-cpu-dense-f64-v1-jacobi-api-fused0-host-r01	build/restart-optimization-20261017/baseline/raw/cpu-release-cpu-dense-f64-v1-jacobi-api-fused0-host-r01.json	7f7286bbb648a2c4878138114e5e3ec12701b9fd9d6d5ccd60a16019a93802f7	59609fc6168a39991cde7551c0338ff255a2c9b157a42b08f4cf327a3350b24b	211c65b74396a795acc574b96d333fbf2acfba99dc7acf2cf22aed5f998ed1b7	True
cpu-release-cpu-dense-f64-v1-jacobi-prepared-fused1-host-r01	build/restart-optimization-20261017/baseline/raw/cpu-release-cpu-dense-f64-v1-jacobi-prepared-fused1-host-r01.json	4f48bf747d0088647744ed596016618dfd9fc9cb764417eb0d48d82b6565d502	4720cc583f7a62d8d3e0823751de68b4dbeb0e3f9c7b2fc4f50fe17407fbf269	419fa4e4ac2daf282551997b783d652fdfdfbc77c2a6024541823ca55ebf871b	True
cpu-release-cpu-dense-f64-v1-jacobi-prepared-fused0-host-r01	build/restart-optimization-20261017/baseline/raw/cpu-release-cpu-dense-f64-v1-jacobi-prepared-fused0-host-r01.json	baeb04247ff8f4711a89ef747170b5dbac0c44b2dfde2b59404091c7c0c829bf	fa67c329f1e22d28f51bf7fac60c470818653dd875ad7023ece324506dff34cb	c6da7bdaf61275c48ac45d05061582fd69a501b3206a746ccc30e0fb0cf5ca08	True
cpu-blas-cpu-dense-f64-v1-none-api-fused1-host-r01	build/restart-optimization-20261017/baseline/raw/cpu-blas-cpu-dense-f64-v1-none-api-fused1-host-r01.json	ea40bd4d1c5768378e9a158d4c4a9564d91bebd9c713deca69e5bccd2181a9bc	eb9c26b471d7fa55988b6b59bc33d2be41b28bcb2852b202a3970d9f33d8ad0b	bac36a9fc93bb967db9956271441bb831fcca93ddec929ed8418b005d98e2707	True
cpu-blas-cpu-dense-f64-v1-none-api-fused0-host-r01	build/restart-optimization-20261017/baseline/raw/cpu-blas-cpu-dense-f64-v1-none-api-fused0-host-r01.json	bfb4873e655e93735dcda5963d606838137de8c8c8bf3d353acfc24462a03403	5ccce3ed7df2594626f8bf5fba339d6257477d64cbf8882c358d5c79f450f32f	5973bfdf671dba046697d7b115f6c4be37161725fbc604a9ee845c7015b348a8	True
cpu-blas-cpu-dense-f64-v1-none-prepared-fused1-host-r01	build/restart-optimization-20261017/baseline/raw/cpu-blas-cpu-dense-f64-v1-none-prepared-fused1-host-r01.json	add507a53bcdcae9b0f50f444ee71175767de011396749a43f0dedc72d4cbedd	8d39d9fbbffe99712e987c3893a246626a935dbfb5794196cd5f154128ae892e	69995985fad349559fde96f7b85196e893a7b7f151cea040fc5526a3bc59472a	True
cpu-blas-cpu-dense-f64-v1-none-prepared-fused0-host-r01	build/restart-optimization-20261017/baseline/raw/cpu-blas-cpu-dense-f64-v1-none-prepared-fused0-host-r01.json	b1787f3e8fd8189e60185955c68ad3f88b204d7e602f0a9b158219920afca154	46f186ebe12a991bdf872493834febee1f75177580cf8c24c955ae5101370d1e	c4f090bc5f751dd6296d33028554cb9b09dd2c3051d161903ce4fe8bfa711dec	True
cpu-blas-cpu-dense-f64-v1-jacobi-api-fused1-host-r01	build/restart-optimization-20261017/baseline/raw/cpu-blas-cpu-dense-f64-v1-jacobi-api-fused1-host-r01.json	15615c64d6b03a25c8da9ed7179fd05dfa5de1948e8787c4aa82b2ddd01961ec	fc4b0180c008aaedbfd2d8b7f0b68bb86d0092334d4b9d1e9c802858743730d7	03b6e30a3a3d89694871ff67f75cdf23cb5d950484553ec2cf67b72b17b57452	True
cpu-blas-cpu-dense-f64-v1-jacobi-api-fused0-host-r01	build/restart-optimization-20261017/baseline/raw/cpu-blas-cpu-dense-f64-v1-jacobi-api-fused0-host-r01.json	1faf0822866b14cc8c72e97b72dde086e8a458e1fb7bcdd51db6a63ff11bd7c7	788a266fdb3fd7e632bbf33cbde9ae8f36733c01eeb920555f56329c390a3369	dfce013ba2ec72b132d2279ee6a5a84d26ce9a32f3a7c4a63d3fd5c7df7afc6e	True
cpu-blas-cpu-dense-f64-v1-jacobi-prepared-fused1-host-r01	build/restart-optimization-20261017/baseline/raw/cpu-blas-cpu-dense-f64-v1-jacobi-prepared-fused1-host-r01.json	66c066097b168ab88da1207cb6b172d8f40981ad6aa2e205ada31d867051ddf9	0479137e95864b92dc2e788fecdc41facb725ba0c38f4c03eed068699426b935	edeec24585034731e139331661f0c8b11d8dc0ddadd7a931ffd360dd7b5e9b56	True
cpu-blas-cpu-dense-f64-v1-jacobi-prepared-fused0-host-r01	build/restart-optimization-20261017/baseline/raw/cpu-blas-cpu-dense-f64-v1-jacobi-prepared-fused0-host-r01.json	c94359a4457d537a11f1cf276a172396780dc5a00a8fdbacfa2ce8a91a172764	5b1e7788c910225cf45f4ec6144182ccfba3d3744d2c45250d75a2aa7f5957b5	337dff78b0044a10a40001483448311e577351b4419cabe8a9663ebd8dfd8598	True
cpu-release-cpu-csr-f64-v1-none-api-fused1-host-r01	build/restart-optimization-20261017/baseline/raw/cpu-release-cpu-csr-f64-v1-none-api-fused1-host-r01.json	436e947af5eb9c35dbb0fa250916264fd2479d1cfcda0fb9d4d4342588dcf4fe	9ceb797c714639d04ccd638c8c4647ef89f19dec681a6e104c34bf15e4b450ee	210897dd850023ebf467be4a3025b7fdecc9799bd3d43d7f19e8d76f5200e012	True
cpu-release-cpu-csr-f64-v1-none-prepared-fused1-host-r01	build/restart-optimization-20261017/baseline/raw/cpu-release-cpu-csr-f64-v1-none-prepared-fused1-host-r01.json	0f2d4648a5186fe6f941ba619b70d99aad950145766cdcce8d9d08ae0cd1df2c	6364df8840f5cc9351d8da5688b595335bd45422b45c9e59e3cf4a6bc5f59197	0036b75495320a305aa068a4c16f7009beac5dfae0dfdd060c2f169dbf07384f	True
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cpu-blas-cpu-dense-f64-v1-jacobi-api-fused0-host-r02	build/restart-optimization-20261017/baseline-repaired/raw/cpu-blas-cpu-dense-f64-v1-jacobi-api-fused0-host-r02.json	6f8074f83f0f1fde5c56c77068c3c54ac202f76105c3a1c8ae3f006f41e6034d	74e28ccfe0af1b8addef16ac2e41fb77ff891b303978bf5298b71727d3bec475	de0dc194f05b5523fb423e3a311553590c5a1e2d4c5f993fa2fe86eb7eda0e85	False
cpu-blas-cpu-dense-f64-v1-jacobi-api-fused1-host-r02	build/restart-optimization-20261017/baseline-repaired/raw/cpu-blas-cpu-dense-f64-v1-jacobi-api-fused1-host-r02.json	0c034f8f45a4b67f404bc5f532ca12ddb7375266f6090c0841027b8dc5cc8a07	7ec5a8c6d5c3b45028a9441117b0d68fe6c95fc4979d7852c35231bae39e5313	184bb579a6bf0cd95d24b257553108f837a7be810e84f2445c7eb554fb67d480	False
cpu-blas-cpu-dense-f64-v1-none-prepared-fused0-host-r02	build/restart-optimization-20261017/baseline-repaired/raw/cpu-blas-cpu-dense-f64-v1-none-prepared-fused0-host-r02.json	646ad076a88cc5c4d56d9d6bf5f9ed13fedd6fd484b3d8985dbdd58b3dcd3d42	e4d6eae0249d2906cf452c1ef97283828dd12f7c23623b341b8809e36d736f09	6f3157d2c53c320009b5ae798556e4896e0bd1e42958f29b388e2d0a236a048f	False
cpu-blas-cpu-dense-f64-v1-none-prepared-fused1-host-r02	build/restart-optimization-20261017/baseline-repaired/raw/cpu-blas-cpu-dense-f64-v1-none-prepared-fused1-host-r02.json	eaf19efcc868e25729b9516b93fe696d0977cf7557741bb5e8ae9c0fe4c97f1d	199db581603f1d0be10c404b39fde1d60c05ccf14501c9462cbb056eb69d354e	45d4e062efe89bf9f6df584432d390e6c6825edd2b6386d3b588cc5ab3ad8306	False
cpu-blas-cpu-dense-f64-v1-none-api-fused0-host-r02	build/restart-optimization-20261017/baseline-repaired/raw/cpu-blas-cpu-dense-f64-v1-none-api-fused0-host-r02.json	cbce501c5189ccd8f47cf9f2c21b559802084631f89613650bbf384bebe16b26	1dd0f699cc02eb4ea29f9514b7442898644a1a57803093b2d046a1d34a627a00	93e22c9be3904cbcf56e49c69dba2c03ebbfef87d71a5d69fe1205579969a354	False
cpu-blas-cpu-dense-f64-v1-none-api-fused1-host-r02	build/restart-optimization-20261017/baseline-repaired/raw/cpu-blas-cpu-dense-f64-v1-none-api-fused1-host-r02.json	a36c88131fd85331317fb6b0278148c9950a56b58fa8223cc0f9156dbb01feed	1bc548c6f3f3a420438899fcc3e65c8fad64ced51672edc14b18075198cc276d	28ff34103b5770a678f47156893d6084847207c20f3682678dae2a7f9398c76f	False
cpu-release-cpu-dense-f64-v1-jacobi-prepared-fused0-host-r02	build/restart-optimization-20261017/baseline-repaired/raw/cpu-release-cpu-dense-f64-v1-jacobi-prepared-fused0-host-r02.json	8b8710cfc9ab220ace33badac4a770b16074a10c07503ad19833380f2a20ec2a	b5d8966169c469a119f557dabcc6a137f63ca132787ee1e540650bd4011ceb93	cf77df9d4996f73b41d45e42ae90e8b2f347a9030461dea8f38433857ceba076	False
cpu-release-cpu-dense-f64-v1-jacobi-prepared-fused1-host-r02	build/restart-optimization-20261017/baseline-repaired/raw/cpu-release-cpu-dense-f64-v1-jacobi-prepared-fused1-host-r02.json	cb503efee9de61a66c8cd06b906f241c1154eeb2d579d237a966b2c5566d97ab	22470be58450f97095ca9d4c7cebecb1e094577f4f9b8dbdd5d885aaa6b0c121	c9e203f7f5b95d6b8ecd6f703cde1072cce806d7ff4035ab3d3179f4b7974a24	False
cpu-release-cpu-dense-f64-v1-jacobi-api-fused0-host-r02	build/restart-optimization-20261017/baseline-repaired/raw/cpu-release-cpu-dense-f64-v1-jacobi-api-fused0-host-r02.json	b72e07b5d0cb004d7f73c120ea6d369658f8e06ed77c036f7cf803a2e880a583	e92275031181fabde2e13c44552294011810802b711d1ac1afbb244163e66cf6	5d46adde8446c87d396a692b6878f971778df4b73fb1510ffa3d05a29c5b5999	False
cpu-release-cpu-dense-f64-v1-jacobi-api-fused1-host-r02	build/restart-optimization-20261017/baseline-repaired/raw/cpu-release-cpu-dense-f64-v1-jacobi-api-fused1-host-r02.json	30032236203c5218a5115f486ec37da40d620cfe2137dd14c9fce961bc88fb92	4d703d6de7f87a0bd722e1ac3b36987366f202fe251b4cf248fcfc39258b865e	3320e9728430292dfc0b7b547df57b414744bd9b4764a58be1f6d992845252b0	False
cpu-release-cpu-dense-f64-v1-none-prepared-fused0-host-r02	build/restart-optimization-20261017/baseline-repaired/raw/cpu-release-cpu-dense-f64-v1-none-prepared-fused0-host-r02.json	f6a86557671374204e87d04fce968bb4d555ae102182d28e8ea04bcf00e3732d	e962e20dac9dcc11708da712b4257ffdb59791c88bd6063145a6f6c7b4532c74	df5e71aeb4adb32878f418da3fb102dfaf5c24db1fc21176b24f70e09b03be4c	False
cpu-release-cpu-dense-f64-v1-none-prepared-fused1-host-r02	build/restart-optimization-20261017/baseline-repaired/raw/cpu-release-cpu-dense-f64-v1-none-prepared-fused1-host-r02.json	fc5b9dfa363c72690583d0079b8894ebff06540b279f31efc57a103443ad0201	ce90814504b6023368dbfe1321c9bb2b04b6ccd6521eeb89e1e519aad57ecf8d	6c13d1ba26945bb3d848f6ee5634ee0288d697ae23fc2a12d37e0c2ff93e0019	False
cpu-release-cpu-dense-f64-v1-none-api-fused0-host-r02	build/restart-optimization-20261017/baseline-repaired/raw/cpu-release-cpu-dense-f64-v1-none-api-fused0-host-r02.json	bb76025f6f8736b95cac6aa02f077df84bf78d38e07db634ac668935b77a3d64	1acd0153e9484052252ca26e866a370ea580525947a90dffc493ff3dee1ff741	9de98305d6a9bae87c7aa883d738a794787adc326824d1d9fd33c85480ae243d	False
cpu-release-cpu-dense-f64-v1-none-api-fused1-host-r02	build/restart-optimization-20261017/baseline-repaired/raw/cpu-release-cpu-dense-f64-v1-none-api-fused1-host-r02.json	6409a69fe931f8051390528b265d0554632b7cdb02995c563e1a7df996797717	44214c57d42c5e36b7de41550331fbd5e34afe776f974e813db783fa82b02b21	c6ec68e806417acd1fd016dab67af8b4b91436dc010356adc63725f735d9fc95	False

Profiling appendix: seventeen CUDA diagnostics

For dense-1024 Jacobi, cuBLAS fresh API records 80/90 cudaMalloc/free calls across the ten-call device capture; Session records 20/20 and prepared 0/0. The device workspace-only probe records 60/70 and no kernel events. All their gated solves perform 4 updates, 6 matvecs and 0 direction restarts. These observations support inspecting resource construction and destruction, but do not assign a fraction of fresh API latency to that phase. Zero traced CUDA allocation calls also do not establish that a framework creates no fresh output or Jacobi tensors.

These instrumented captures are separate from the uninstrumented baseline and are not framework scores. All ten-repetition captures retain passing before/after independent true-residual gates with identical known iterations, matvecs and direction restarts. Resource probes gate a solve outside the resource-only probe; their gated work does not describe operations performed inside Workspace/prepare construction and destruction.

All CUDA API counts below are totals over each complete ten-call cudaProfiler capture. The driver synchronizes before every NVTX range as well as within the measured phase. Full-capture stream-sync counts therefore include those inter-call fences and must not be interpreted as solver-only counts. Launch API counts are distinct from the recorded GPU kernel instances.

NVTX total sums only the ten exact outer iteration ranges, which do not overlap each other. NVTX phase time, Python completed-wall medians, CUDA API durations and GPU kernel durations have different boundaries and can overlap. They must not be added into latency fractions or inferred by subtracting different scope medians. API calls can wait for prior GPU work. Captures have three warmups, seed 20261017, one host thread, affinity [0] and ten repetitions. Clocks, thermal state, Windows display activity and physical host isolation are uncontrolled. Single-process instrumentation does not establish a speedup.

Workspace probes include construction and destruction. Prepare probes include the operator snapshot, optional Jacobi setup and destruction. Session workspace construction is outside its solve capture; output and optional Jacobi remain per-call. No historical pinned-host-scalar allocation is claimed as a current cost. Empty workspace kernel exports record zero instances only when the unchanged Nsight stats log explicitly confirms no CUDA kernel data. An absent export remains unreported; its absence is not converted into a fabricated zero.

All seventeen full-capture diagnostics

Capture	Instrumented wall median ms	10 outer NVTX total ms	Malloc/free	Launch APIs	GPU kernels	Kernel CSV	Memcpy/async	Stream/device sync	Gated I/M/R	Before TrueR	Before threshold
cuda-cublas-dense-64-api-device-solve-jacobi-standard	3.710663	41.866971	80/90	670	670	recorded	0/120	140/30	5/7/0	2.43445e-07	3.05762e-06
cuda-cublas-dense-256-api-device-solve-jacobi-standard	2.916256	34.481943	80/90	560	560	recorded	0/110	130/30	4/6/0	1.05477e-06	5.02623e-06
cuda-cublas-dense-1024-api-device-solve-jacobi-standard	3.711502	40.730392	80/90	560	560	recorded	0/110	130/30	4/6/0	1.42392e-07	1.04058e-05
cuda-cublas-dense-2048-api-device-solve-jacobi-standard	3.371965	35.248615	80/90	450	450	recorded	0/100	120/30	3/5/0	1.23878e-05	1.48107e-05
cuda-cublas-dense-1024-api-host-solve-jacobi-standard	3.626654	41.482650	70/80	400	400	recorded	0/180	200/30	4/6/0	1.42392e-07	1.04058e-05
cuda-cublas-dense-1024-api-host-workspace-jacobi-standard	1.636027	17.867452	50/60	0	0	empty; no kernel events	0/0	20/30	4/6/0	1.42392e-07	1.04058e-05
cuda-cublas-dense-1024-api-device-workspace-jacobi-standard	1.868264	19.568045	60/70	0	0	empty; no kernel events	0/0	20/30	4/6/0	1.42392e-07	1.04058e-05
cuda-cublas-dense-1024-api-device-prepare-jacobi-standard	0.979402	12.676295	20/20	10	10	recorded	0/10	40/0	4/6/0	1.42392e-07	1.04058e-05
cuda-native-dense-1024-api-device-solve-jacobi-standard	1.261705	16.898935	50/50	500	500	recorded	0/110	130/0	4/6/0	1.42392e-07	1.04058e-05
torch-cuda-eager-dense-1024-api-device-solve-jacobi-standard	4.074745	48.270787	0/0	720	720	recorded	0/210	190/20	4/6/0	1.42392e-07	1.04058e-05
cuda-native-dense-1024-session-device-solve-jacobi-standard	1.208967	15.409862	20/20	500	500	recorded	0/110	130/0	4/6/0	1.42392e-07	1.04058e-05
cuda-cublas-dense-1024-session-device-solve-jacobi-standard	1.124743	14.017973	20/20	560	560	recorded	0/110	130/0	4/6/0	1.42392e-07	1.04058e-05
torch-cuda-eager-dense-1024-session-device-solve-jacobi-standard	3.201754	36.395886	0/0	720	720	recorded	0/210	190/20	4/6/0	1.42392e-07	1.04058e-05
cuda-native-dense-1024-prepared-device-solve-jacobi-standard	1.432609	17.084414	0/0	490	490	recorded	0/100	120/0	4/6/0	1.42392e-07	1.04058e-05
cuda-cublas-dense-1024-prepared-device-solve-jacobi-standard	1.390553	18.336522	0/0	550	550	recorded	0/100	120/0	4/6/0	1.42392e-07	1.04058e-05
cuda-native-poisson-32-prepared-device-solve-jacobi-standard	17.861432	175.607085	0/0	11990	11990	recorded	0/1320	1300/0	118/122/2	1.21108e-06	1.44144e-06
cuda-native-dense-1024-prepared-device-solve-none-explicit	21.695802	215.801420	0/0	9030	9030	recorded	0/1410	1440/0	69/139/0	8.92006e-06	1.04058e-05

All CUDA API calls remain in the table below, including profiler and completion fences outside the NVTX ranges. Raw original CSV rows and API durations remain in the analysis JSON; durations are not combined into additive attribution.

Complete observed API count inventory

Capture	API	Calls per ten-call capture
cuda-cublas-dense-64-api-device-solve-jacobi-standard	cuProfilerStart	1
cuda-cublas-dense-64-api-device-solve-jacobi-standard	cudaDeviceSynchronize	30
cuda-cublas-dense-64-api-device-solve-jacobi-standard	cudaEventCreateWithFlags	160
cuda-cublas-dense-64-api-device-solve-jacobi-standard	cudaEventDestroy	160
cuda-cublas-dense-64-api-device-solve-jacobi-standard	cudaFree	90
cuda-cublas-dense-64-api-device-solve-jacobi-standard	cudaLaunchKernel	670
cuda-cublas-dense-64-api-device-solve-jacobi-standard	cudaMalloc	80
cuda-cublas-dense-64-api-device-solve-jacobi-standard	cudaMemcpyAsync	120
cuda-cublas-dense-64-api-device-solve-jacobi-standard	cudaMemsetAsync	10
cuda-cublas-dense-64-api-device-solve-jacobi-standard	cudaStreamGetDevice_v12080	40
cuda-cublas-dense-64-api-device-solve-jacobi-standard	cudaStreamSynchronize	140
cuda-cublas-dense-256-api-device-solve-jacobi-standard	cuProfilerStart	1
cuda-cublas-dense-256-api-device-solve-jacobi-standard	cudaDeviceSynchronize	30
cuda-cublas-dense-256-api-device-solve-jacobi-standard	cudaEventCreateWithFlags	160
cuda-cublas-dense-256-api-device-solve-jacobi-standard	cudaEventDestroy	160
cuda-cublas-dense-256-api-device-solve-jacobi-standard	cudaFree	90
cuda-cublas-dense-256-api-device-solve-jacobi-standard	cudaLaunchKernel	560
cuda-cublas-dense-256-api-device-solve-jacobi-standard	cudaMalloc	80
cuda-cublas-dense-256-api-device-solve-jacobi-standard	cudaMemcpyAsync	110
cuda-cublas-dense-256-api-device-solve-jacobi-standard	cudaMemsetAsync	10
cuda-cublas-dense-256-api-device-solve-jacobi-standard	cudaStreamGetDevice_v12080	40
cuda-cublas-dense-256-api-device-solve-jacobi-standard	cudaStreamSynchronize	130
cuda-cublas-dense-1024-api-device-solve-jacobi-standard	cuProfilerStart	1
cuda-cublas-dense-1024-api-device-solve-jacobi-standard	cudaDeviceSynchronize	30
cuda-cublas-dense-1024-api-device-solve-jacobi-standard	cudaEventCreateWithFlags	160
cuda-cublas-dense-1024-api-device-solve-jacobi-standard	cudaEventDestroy	160
cuda-cublas-dense-1024-api-device-solve-jacobi-standard	cudaFree	90
cuda-cublas-dense-1024-api-device-solve-jacobi-standard	cudaLaunchKernel	560
cuda-cublas-dense-1024-api-device-solve-jacobi-standard	cudaMalloc	80
cuda-cublas-dense-1024-api-device-solve-jacobi-standard	cudaMemcpyAsync	110
cuda-cublas-dense-1024-api-device-solve-jacobi-standard	cudaMemsetAsync	10
cuda-cublas-dense-1024-api-device-solve-jacobi-standard	cudaStreamGetDevice_v12080	40
cuda-cublas-dense-1024-api-device-solve-jacobi-standard	cudaStreamSynchronize	130
cuda-cublas-dense-2048-api-device-solve-jacobi-standard	cuProfilerStart	1
cuda-cublas-dense-2048-api-device-solve-jacobi-standard	cudaDeviceSynchronize	30
cuda-cublas-dense-2048-api-device-solve-jacobi-standard	cudaEventCreateWithFlags	160
cuda-cublas-dense-2048-api-device-solve-jacobi-standard	cudaEventDestroy	160
cuda-cublas-dense-2048-api-device-solve-jacobi-standard	cudaFree	90
cuda-cublas-dense-2048-api-device-solve-jacobi-standard	cudaLaunchKernel	450
cuda-cublas-dense-2048-api-device-solve-jacobi-standard	cudaMalloc	80
cuda-cublas-dense-2048-api-device-solve-jacobi-standard	cudaMemcpyAsync	100
cuda-cublas-dense-2048-api-device-solve-jacobi-standard	cudaMemsetAsync	10
cuda-cublas-dense-2048-api-device-solve-jacobi-standard	cudaStreamGetDevice_v12080	40
cuda-cublas-dense-2048-api-device-solve-jacobi-standard	cudaStreamSynchronize	120
cuda-cublas-dense-1024-api-host-solve-jacobi-standard	cuProfilerStart	1
cuda-cublas-dense-1024-api-host-solve-jacobi-standard	cudaDeviceSynchronize	30
cuda-cublas-dense-1024-api-host-solve-jacobi-standard	cudaEventCreateWithFlags	160
cuda-cublas-dense-1024-api-host-solve-jacobi-standard	cudaEventDestroy	160
cuda-cublas-dense-1024-api-host-solve-jacobi-standard	cudaFree	80
cuda-cublas-dense-1024-api-host-solve-jacobi-standard	cudaLaunchKernel	400
cuda-cublas-dense-1024-api-host-solve-jacobi-standard	cudaMalloc	70
cuda-cublas-dense-1024-api-host-solve-jacobi-standard	cudaMemcpyAsync	180
cuda-cublas-dense-1024-api-host-solve-jacobi-standard	cudaMemsetAsync	10
cuda-cublas-dense-1024-api-host-solve-jacobi-standard	cudaStreamGetDevice_v12080	40
cuda-cublas-dense-1024-api-host-solve-jacobi-standard	cudaStreamSynchronize	200
cuda-cublas-dense-1024-api-host-workspace-jacobi-standard	cuProfilerStart	1
cuda-cublas-dense-1024-api-host-workspace-jacobi-standard	cudaDeviceSynchronize	30
cuda-cublas-dense-1024-api-host-workspace-jacobi-standard	cudaEventCreateWithFlags	160
cuda-cublas-dense-1024-api-host-workspace-jacobi-standard	cudaEventDestroy	160
cuda-cublas-dense-1024-api-host-workspace-jacobi-standard	cudaFree	60
cuda-cublas-dense-1024-api-host-workspace-jacobi-standard	cudaMalloc	50
cuda-cublas-dense-1024-api-host-workspace-jacobi-standard	cudaStreamGetDevice_v12080	30
cuda-cublas-dense-1024-api-host-workspace-jacobi-standard	cudaStreamSynchronize	20
cuda-cublas-dense-1024-api-device-workspace-jacobi-standard	cuProfilerStart	1
cuda-cublas-dense-1024-api-device-workspace-jacobi-standard	cudaDeviceSynchronize	30
cuda-cublas-dense-1024-api-device-workspace-jacobi-standard	cudaEventCreateWithFlags	160
cuda-cublas-dense-1024-api-device-workspace-jacobi-standard	cudaEventDestroy	160
cuda-cublas-dense-1024-api-device-workspace-jacobi-standard	cudaFree	70
cuda-cublas-dense-1024-api-device-workspace-jacobi-standard	cudaMalloc	60
cuda-cublas-dense-1024-api-device-workspace-jacobi-standard	cudaStreamGetDevice_v12080	30
cuda-cublas-dense-1024-api-device-workspace-jacobi-standard	cudaStreamSynchronize	20
cuda-cublas-dense-1024-api-device-prepare-jacobi-standard	cuProfilerStart	1
cuda-cublas-dense-1024-api-device-prepare-jacobi-standard	cudaFree	20
cuda-cublas-dense-1024-api-device-prepare-jacobi-standard	cudaLaunchKernel	10
cuda-cublas-dense-1024-api-device-prepare-jacobi-standard	cudaMalloc	20
cuda-cublas-dense-1024-api-device-prepare-jacobi-standard	cudaMemcpy2DAsync	10
cuda-cublas-dense-1024-api-device-prepare-jacobi-standard	cudaMemcpyAsync	10
cuda-cublas-dense-1024-api-device-prepare-jacobi-standard	cudaMemsetAsync	10
cuda-cublas-dense-1024-api-device-prepare-jacobi-standard	cudaStreamGetDevice_v12080	30
cuda-cublas-dense-1024-api-device-prepare-jacobi-standard	cudaStreamSynchronize	40
cuda-native-dense-1024-api-device-solve-jacobi-standard	cuProfilerStart	1
cuda-native-dense-1024-api-device-solve-jacobi-standard	cudaFree	50
cuda-native-dense-1024-api-device-solve-jacobi-standard	cudaLaunchKernel	500
cuda-native-dense-1024-api-device-solve-jacobi-standard	cudaMalloc	50
cuda-native-dense-1024-api-device-solve-jacobi-standard	cudaMemcpyAsync	110
cuda-native-dense-1024-api-device-solve-jacobi-standard	cudaMemsetAsync	10
cuda-native-dense-1024-api-device-solve-jacobi-standard	cudaStreamGetDevice_v12080	40
cuda-native-dense-1024-api-device-solve-jacobi-standard	cudaStreamSynchronize	130
torch-cuda-eager-dense-1024-api-device-solve-jacobi-standard	cuProfilerStart	1
torch-cuda-eager-dense-1024-api-device-solve-jacobi-standard	cudaDeviceSynchronize	20
torch-cuda-eager-dense-1024-api-device-solve-jacobi-standard	cudaLaunchKernel	720
torch-cuda-eager-dense-1024-api-device-solve-jacobi-standard	cudaMemcpyAsync	210
torch-cuda-eager-dense-1024-api-device-solve-jacobi-standard	cudaStreamSynchronize	190
cuda-native-dense-1024-session-device-solve-jacobi-standard	cuProfilerStart	1
cuda-native-dense-1024-session-device-solve-jacobi-standard	cudaFree	20
cuda-native-dense-1024-session-device-solve-jacobi-standard	cudaLaunchKernel	500
cuda-native-dense-1024-session-device-solve-jacobi-standard	cudaMalloc	20
cuda-native-dense-1024-session-device-solve-jacobi-standard	cudaMemcpyAsync	110
cuda-native-dense-1024-session-device-solve-jacobi-standard	cudaMemsetAsync	10
cuda-native-dense-1024-session-device-solve-jacobi-standard	cudaStreamGetDevice_v12080	30
cuda-native-dense-1024-session-device-solve-jacobi-standard	cudaStreamSynchronize	130
cuda-cublas-dense-1024-session-device-solve-jacobi-standard	cuProfilerStart	1
cuda-cublas-dense-1024-session-device-solve-jacobi-standard	cudaFree	20
cuda-cublas-dense-1024-session-device-solve-jacobi-standard	cudaLaunchKernel	560
cuda-cublas-dense-1024-session-device-solve-jacobi-standard	cudaMalloc	20
cuda-cublas-dense-1024-session-device-solve-jacobi-standard	cudaMemcpyAsync	110
cuda-cublas-dense-1024-session-device-solve-jacobi-standard	cudaMemsetAsync	10
cuda-cublas-dense-1024-session-device-solve-jacobi-standard	cudaStreamGetDevice_v12080	30
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torch-cuda-eager-dense-1024-session-device-solve-jacobi-standard	cudaDeviceSynchronize	20
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torch-cuda-eager-dense-1024-session-device-solve-jacobi-standard	cudaMemcpyAsync	210
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cuda-native-dense-1024-prepared-device-solve-jacobi-standard	cudaLaunchKernel	490
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cuda-cublas-dense-1024-prepared-device-solve-jacobi-standard	cudaLaunchKernel	550
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cuda-cublas-dense-1024-prepared-device-solve-jacobi-standard	cudaStreamGetDevice_v12080	30
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Compiled source and retained evidence

Actual compiled source: 1aae5d2d8c07243ce5e15b2fe04784ed24b12ad7; tree: 06f324529806d3edf005e4ecbb6a3c27f048f946.

Profile driver and campaign runner are different files and are independently hashed below. Raw JSON, CSVs, logs, Nsight reports and frozen source/binaries remain local ignored evidence; these paths are not public artifact downloads.

Source identities

Role	Path	SHA256
profile_driver	build/restart-optimization-20261017/baseline-stages/cuda-release/tools/profile_solve.py	20b805f3bd95a9f0c1a5d23105c17888e4bd285b754575c1540661df87b7e0c4
runner	build/restart-optimization-20261017/profile_current.py	eda0e6d1779698c6cc85d419c269cfb58150ef2c4cd8aad317ce066ea7f11d5e
stage_identity	build/restart-optimization-20261017/baseline-stages/cuda-release/identity.json	7a956531880eaee793f22d75c4cc748f53c20ee8d5569fc0f2fe4cf67411d416
manifest	build/restart-optimization-20261017/profiles-baseline/manifest.json	26d67c9d638a096bec24f03eab4274052706d7ca98aedc3cbd4c69a37bf334ac
plan	build/restart-optimization-20261017/profiles-baseline/plan.json	1dcd1c68e3f57f69031eec7893568f859476a5c4c06409a83d3cf66136133e8e
renderer	build/restart-optimization-20261017/render_profiles.py	bdfa1742428454b7cf75869710f528a0f34235038a18936ca4ce7d6bb138182c
render_helpers	build/restart-optimization-20261017/render_baseline.py	af180cd5ecb8e916450024b0d5fabd0f6b7088f9f41e0e720b95ea5552154ab0

Every retained diagnostic artifact

Capture	Filename	SHA256
cuda-cublas-dense-64-api-device-solve-jacobi-standard	cuda-cublas-dense-64-api-device-solve-jacobi-standard-stats.log	cd2ffcd93c9b812be9577b99e697850ef22c07ebb3995596d80e0decffb277a5
cuda-cublas-dense-64-api-device-solve-jacobi-standard	cuda-cublas-dense-64-api-device-solve-jacobi-standard.json	cb3aec02fc1bd7070c389306d6876f52dfb6fe89fbfcde0b2fdd4f368af62aac
cuda-cublas-dense-64-api-device-solve-jacobi-standard	cuda-cublas-dense-64-api-device-solve-jacobi-standard.log	273ecf6e8afca954c543c38fd151c6bb2264184ea1274ce110a55b7f26e4b985
cuda-cublas-dense-64-api-device-solve-jacobi-standard	cuda-cublas-dense-64-api-device-solve-jacobi-standard.nsys-rep	e9aadf3b59157de2a25ec8087268bd08a2c54c1eefd95c3037798dcec742d63f
cuda-cublas-dense-64-api-device-solve-jacobi-standard	cuda-cublas-dense-64-api-device-solve-jacobi-standard.sqlite	b1f77618e02ff6df8351f1472c51e7ef7f7a081de59afe9708c203d711228c3a
cuda-cublas-dense-64-api-device-solve-jacobi-standard	cuda-cublas-dense-64-api-device-solve-jacobi-standard_cuda_api_sum.csv	faf38535d5b3d09cb839adafb7e59af9785adc8c4e3ee4dbf83686283142c281
cuda-cublas-dense-64-api-device-solve-jacobi-standard	cuda-cublas-dense-64-api-device-solve-jacobi-standard_cuda_gpu_kern_sum.csv	d8251fdabd8a62610a43c30aeb3ff01b3cc3400f655a166df69f60c64226b585
cuda-cublas-dense-64-api-device-solve-jacobi-standard	cuda-cublas-dense-64-api-device-solve-jacobi-standard_nvtx_pushpop_sum.csv	07ef20b449472563abc5208fd507c61d738c7e0838ddc0ab22ee80869e432e4e
cuda-cublas-dense-256-api-device-solve-jacobi-standard	cuda-cublas-dense-256-api-device-solve-jacobi-standard-stats.log	65c51fbb846d17b8b033414d28fef0a0720800d35ac0ca8195131fe197b65a26
cuda-cublas-dense-256-api-device-solve-jacobi-standard	cuda-cublas-dense-256-api-device-solve-jacobi-standard.json	9dd566c3614d8be80975b5226b460ca12bc22ba973bcbc8cb324d238a85638c6
cuda-cublas-dense-256-api-device-solve-jacobi-standard	cuda-cublas-dense-256-api-device-solve-jacobi-standard.log	af2a6a8bb73335f93aac4036cb89be40bb1b6073fd9a32c50f19813eb4b00133
cuda-cublas-dense-256-api-device-solve-jacobi-standard	cuda-cublas-dense-256-api-device-solve-jacobi-standard.nsys-rep	d00cac17707cc4a6d4ddc13c1be171d9afb2b139d5e9059a4d4e20cde5497184
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cuda-cublas-dense-256-api-device-solve-jacobi-standard	cuda-cublas-dense-256-api-device-solve-jacobi-standard_nvtx_pushpop_sum.csv	74f5169f8791be483e652deedc010317bdd8bd607f4b483c9b006df0da5f8de2
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cuda-native-dense-1024-api-device-solve-jacobi-standard	cuda-native-dense-1024-api-device-solve-jacobi-standard.sqlite	8c5eca2aedf61a913dba393ef6141b4beb33a44f8a0dad080553d57a9e50cc1c
cuda-native-dense-1024-api-device-solve-jacobi-standard	cuda-native-dense-1024-api-device-solve-jacobi-standard_cuda_api_sum.csv	b139b7806cb872a3d145f11ce166dcef36703b9156e383434fdfa23c9a7efc36
cuda-native-dense-1024-api-device-solve-jacobi-standard	cuda-native-dense-1024-api-device-solve-jacobi-standard_cuda_gpu_kern_sum.csv	89610801b887b5e7b652d3a142ffa726855856f4fa29f9a766ee1e8a54d08efa
cuda-native-dense-1024-api-device-solve-jacobi-standard	cuda-native-dense-1024-api-device-solve-jacobi-standard_nvtx_pushpop_sum.csv	77aa045aaa636f56bdcfe1ae2c463bbcd56ee7d23ba9ad2ad9813e732b2f33f8
torch-cuda-eager-dense-1024-api-device-solve-jacobi-standard	torch-cuda-eager-dense-1024-api-device-solve-jacobi-standard-stats.log	d281a865123bd4964a4176381e01a42c659cc00d934ddd4cc16570372a1b2a81
torch-cuda-eager-dense-1024-api-device-solve-jacobi-standard	torch-cuda-eager-dense-1024-api-device-solve-jacobi-standard.json	a100d24fc754740269dc05a27785da24978f7f056c0b0e5ee952f6d7ec816e38
torch-cuda-eager-dense-1024-api-device-solve-jacobi-standard	torch-cuda-eager-dense-1024-api-device-solve-jacobi-standard.log	10c3bfa736f2550938bb7c60667da6b00c9b8e1e4653a511366f0816be56d66f
torch-cuda-eager-dense-1024-api-device-solve-jacobi-standard	torch-cuda-eager-dense-1024-api-device-solve-jacobi-standard.nsys-rep	c15e9047ef7b1a506e016cb9989d695d548f66ac304167641a01af4c6b10fdd1
torch-cuda-eager-dense-1024-api-device-solve-jacobi-standard	torch-cuda-eager-dense-1024-api-device-solve-jacobi-standard.sqlite	be538ba5b5d948a7c18998565b055db46a2813bfd753fb2fb06f3fb12470de43
torch-cuda-eager-dense-1024-api-device-solve-jacobi-standard	torch-cuda-eager-dense-1024-api-device-solve-jacobi-standard_cuda_api_sum.csv	7d7a392569501d744c8ca3c69c6d870d7f1c25e3ae0c32c294dbb5baedf4e337
torch-cuda-eager-dense-1024-api-device-solve-jacobi-standard	torch-cuda-eager-dense-1024-api-device-solve-jacobi-standard_cuda_gpu_kern_sum.csv	3a8562ec354be02e04ed8ab012e11ebe5359cb3c2bc43909ff6083c2e39fbf62
torch-cuda-eager-dense-1024-api-device-solve-jacobi-standard	torch-cuda-eager-dense-1024-api-device-solve-jacobi-standard_nvtx_pushpop_sum.csv	e2b493af6cb7e8f26af09a66f61245b5ff056ce47f9b3f1c2da021d9d92e6c14
cuda-native-dense-1024-session-device-solve-jacobi-standard	cuda-native-dense-1024-session-device-solve-jacobi-standard-stats.log	de1a3676de048878873cf4b1ec63c0c8c289208ba0d28e2af4f88c82fdab947e
cuda-native-dense-1024-session-device-solve-jacobi-standard	cuda-native-dense-1024-session-device-solve-jacobi-standard.json	8e348a57d416065c79e93f6cfee34236965181904d53579643b42511cd3e1e81
cuda-native-dense-1024-session-device-solve-jacobi-standard	cuda-native-dense-1024-session-device-solve-jacobi-standard.log	55af0e36584b8cda4a41ce8d6287c91d1b0fa137e8c91703ba94fc85019db6d5
cuda-native-dense-1024-session-device-solve-jacobi-standard	cuda-native-dense-1024-session-device-solve-jacobi-standard.nsys-rep	a94b0cd599f65fe44285e283ca6a278812f6d30611fae4cb15e9b16ac8f9c891
cuda-native-dense-1024-session-device-solve-jacobi-standard	cuda-native-dense-1024-session-device-solve-jacobi-standard.sqlite	3bf0ea2d690d28630d79a993c46e876e9e3734a6a6f0d06236222aa82f6e3985
cuda-native-dense-1024-session-device-solve-jacobi-standard	cuda-native-dense-1024-session-device-solve-jacobi-standard_cuda_api_sum.csv	e13210778ed77adbe20eccf04583043e8003c58cf3c8d40a2e93293c0026028a
cuda-native-dense-1024-session-device-solve-jacobi-standard	cuda-native-dense-1024-session-device-solve-jacobi-standard_cuda_gpu_kern_sum.csv	f89dbf52f7ced12a0994b8251d13afb40202684721a0a66b2516aea17c09efe0
cuda-native-dense-1024-session-device-solve-jacobi-standard	cuda-native-dense-1024-session-device-solve-jacobi-standard_nvtx_pushpop_sum.csv	3271df9f9188cbbb97d68482d183f6847467a445740e6cb8b660e4339a481526
cuda-cublas-dense-1024-session-device-solve-jacobi-standard	cuda-cublas-dense-1024-session-device-solve-jacobi-standard-stats.log	dbd418d496db5bf865c2adfc1070da9ff7716adce894814133757aafb66c5574
cuda-cublas-dense-1024-session-device-solve-jacobi-standard	cuda-cublas-dense-1024-session-device-solve-jacobi-standard.json	bb47d9ceafc1ecb2d287e3b8a7974a83f1187ebb92092bf0b3d474aa3834c86d
cuda-cublas-dense-1024-session-device-solve-jacobi-standard	cuda-cublas-dense-1024-session-device-solve-jacobi-standard.log	8898011a23583c50507e4daa3c9885f31d254ddde66f79f5a2f2e98089f0aeb3
cuda-cublas-dense-1024-session-device-solve-jacobi-standard	cuda-cublas-dense-1024-session-device-solve-jacobi-standard.nsys-rep	e58fffc4f7320ebc110b4051704487301ec852bdce35acd73003d8a407275696
cuda-cublas-dense-1024-session-device-solve-jacobi-standard	cuda-cublas-dense-1024-session-device-solve-jacobi-standard.sqlite	ee7ffd229ca3590befd160c679f06a1b7c5e2333b7ecb3f22433fb21c51c2a7d
cuda-cublas-dense-1024-session-device-solve-jacobi-standard	cuda-cublas-dense-1024-session-device-solve-jacobi-standard_cuda_api_sum.csv	dc05a20661aa0f5fa457dd3d0a4b76e53daa58e950d02cb760a78ddcae769d79
cuda-cublas-dense-1024-session-device-solve-jacobi-standard	cuda-cublas-dense-1024-session-device-solve-jacobi-standard_cuda_gpu_kern_sum.csv	a254f5b8bc74e35a4195a1e5a54a1faf1bb47b0d393b3c31c32cda88d9680e8a
cuda-cublas-dense-1024-session-device-solve-jacobi-standard	cuda-cublas-dense-1024-session-device-solve-jacobi-standard_nvtx_pushpop_sum.csv	745059b005383dba9018309c5029477a3e064a636ef78521887fb24433d5772d
torch-cuda-eager-dense-1024-session-device-solve-jacobi-standard	torch-cuda-eager-dense-1024-session-device-solve-jacobi-standard-stats.log	6ac47568d5ebd5eddf6211a2202c4e2cebc55fcad1d18d42c506e2cc2667b6a7
torch-cuda-eager-dense-1024-session-device-solve-jacobi-standard	torch-cuda-eager-dense-1024-session-device-solve-jacobi-standard.json	7f5dcf1e11942f98e73caa1295137683eeaac3271f04e162e1ed31cf28cf4785
torch-cuda-eager-dense-1024-session-device-solve-jacobi-standard	torch-cuda-eager-dense-1024-session-device-solve-jacobi-standard.log	f65cccdeff677d70f8c90ef89e2118c0d401f13670016cbf5db8a0bb441b6e85
torch-cuda-eager-dense-1024-session-device-solve-jacobi-standard	torch-cuda-eager-dense-1024-session-device-solve-jacobi-standard.nsys-rep	f0ce2636b259876695bb0c8a9a914c78ad0407f620b016fb609aeb3c359fc2e4
torch-cuda-eager-dense-1024-session-device-solve-jacobi-standard	torch-cuda-eager-dense-1024-session-device-solve-jacobi-standard.sqlite	c79154e58a3fa6344671d2702076b7a09bc81574f8a2a8fec57b07ea25bff09a
torch-cuda-eager-dense-1024-session-device-solve-jacobi-standard	torch-cuda-eager-dense-1024-session-device-solve-jacobi-standard_cuda_api_sum.csv	4dd964abc449f88d369a45302add66ac9eeb5bb6627c8282fe58a1e9ecb7ad03
torch-cuda-eager-dense-1024-session-device-solve-jacobi-standard	torch-cuda-eager-dense-1024-session-device-solve-jacobi-standard_cuda_gpu_kern_sum.csv	e6d0de931ecfb9e37d71d40d60181f96a326dfb8e1d60b0050c51433656d4dda
torch-cuda-eager-dense-1024-session-device-solve-jacobi-standard	torch-cuda-eager-dense-1024-session-device-solve-jacobi-standard_nvtx_pushpop_sum.csv	34d533f5b03a5777acde853ba0022041d98415f909e0a7b9c74fc7ad9f5b7aa0
cuda-native-dense-1024-prepared-device-solve-jacobi-standard	cuda-native-dense-1024-prepared-device-solve-jacobi-standard-stats.log	fd6c122ea7f8957105401e982ba78136b1fa8738307612b54ee2099b9c0f6ea6
cuda-native-dense-1024-prepared-device-solve-jacobi-standard	cuda-native-dense-1024-prepared-device-solve-jacobi-standard.json	50ae41c8f9d1172ce788097bd2bb1877e814113c43a0556366009996835df728
cuda-native-dense-1024-prepared-device-solve-jacobi-standard	cuda-native-dense-1024-prepared-device-solve-jacobi-standard.log	a6db9df1a45519f37af18dc8f6a2be80f44dbd53034e562e38d2908a47f87520
cuda-native-dense-1024-prepared-device-solve-jacobi-standard	cuda-native-dense-1024-prepared-device-solve-jacobi-standard.nsys-rep	25ef0e234cd202d99d7a15e19f867a982319534382fb439b4839898effe6c52e
cuda-native-dense-1024-prepared-device-solve-jacobi-standard	cuda-native-dense-1024-prepared-device-solve-jacobi-standard.sqlite	47a2d72a1bf34910dfe1ab4c11fa2a6a7e0cd214dee7bef7e298fdae1704ff1c
cuda-native-dense-1024-prepared-device-solve-jacobi-standard	cuda-native-dense-1024-prepared-device-solve-jacobi-standard_cuda_api_sum.csv	c0fdc0947fc8569c8285f0b944a3abda680cbf66fc0b4826c966e7eae2e08d4f
cuda-native-dense-1024-prepared-device-solve-jacobi-standard	cuda-native-dense-1024-prepared-device-solve-jacobi-standard_cuda_gpu_kern_sum.csv	47ed248c5100d4352aa7ac8e1b3dfb1744527dc58d0fe0e77a52512b52ec8562
cuda-native-dense-1024-prepared-device-solve-jacobi-standard	cuda-native-dense-1024-prepared-device-solve-jacobi-standard_nvtx_pushpop_sum.csv	727aada084f0264b1f79960a1e468fc12417e3f45a44de6e3165891e68b49b3c
cuda-cublas-dense-1024-prepared-device-solve-jacobi-standard	cuda-cublas-dense-1024-prepared-device-solve-jacobi-standard-stats.log	14ef39d87f6a58b34c319037fd3708a4cb5cce8f8f4e5b6193310565964f5322
cuda-cublas-dense-1024-prepared-device-solve-jacobi-standard	cuda-cublas-dense-1024-prepared-device-solve-jacobi-standard.json	d8e3ababf04ce4ba64c3abe1436e1eebfe311c5449e96c94dd762feadf246772
cuda-cublas-dense-1024-prepared-device-solve-jacobi-standard	cuda-cublas-dense-1024-prepared-device-solve-jacobi-standard.log	5beca91753f1377e259a6f7bba5cf43dc9896f8f8ed37abe8ef4a46e38ed05a4
cuda-cublas-dense-1024-prepared-device-solve-jacobi-standard	cuda-cublas-dense-1024-prepared-device-solve-jacobi-standard.nsys-rep	c7b1f37b97e4309f3c70d386fa46269353f233ba0650296787ea4d3416db15b1
cuda-cublas-dense-1024-prepared-device-solve-jacobi-standard	cuda-cublas-dense-1024-prepared-device-solve-jacobi-standard.sqlite	586fe85730a38e4c854ff47ed363fd9d23f22e0c9ee71d8db5235f47e641d722
cuda-cublas-dense-1024-prepared-device-solve-jacobi-standard	cuda-cublas-dense-1024-prepared-device-solve-jacobi-standard_cuda_api_sum.csv	eeffd849db180912ac9519acda4ed0ed0932256b42f8d2e4e839873f2ccce87c
cuda-cublas-dense-1024-prepared-device-solve-jacobi-standard	cuda-cublas-dense-1024-prepared-device-solve-jacobi-standard_cuda_gpu_kern_sum.csv	be9eabea3ecf8dce2434baea7f5cdf1ca58edad7fd559932292f78cafb9aa0dd
cuda-cublas-dense-1024-prepared-device-solve-jacobi-standard	cuda-cublas-dense-1024-prepared-device-solve-jacobi-standard_nvtx_pushpop_sum.csv	021a745ac1a5f2c59f27f037b304e2646ad977f6c1345f62d3529eb5c3507b5f
cuda-native-poisson-32-prepared-device-solve-jacobi-standard	cuda-native-poisson-32-prepared-device-solve-jacobi-standard-stats.log	eeb6179539155e9f674e11a8abda8108721c6bee5c06198681175729f411a7e2
cuda-native-poisson-32-prepared-device-solve-jacobi-standard	cuda-native-poisson-32-prepared-device-solve-jacobi-standard.json	35fac0d4171450af287e112583bb595c9202df492a9cf82c53f21d2041fffbbf
cuda-native-poisson-32-prepared-device-solve-jacobi-standard	cuda-native-poisson-32-prepared-device-solve-jacobi-standard.log	007e516e3e755ece67916f7ba2a6559ec497e6e764245dfdf1d658225120b373
cuda-native-poisson-32-prepared-device-solve-jacobi-standard	cuda-native-poisson-32-prepared-device-solve-jacobi-standard.nsys-rep	adaf460e8ed825865be906b5e67463949218a2fecd9f111a0c9ebfd1c4012a93
cuda-native-poisson-32-prepared-device-solve-jacobi-standard	cuda-native-poisson-32-prepared-device-solve-jacobi-standard.sqlite	42b1fd1fc75333528fc14653bafe5cc358d3a67c77187e86d680dad6714d4277
cuda-native-poisson-32-prepared-device-solve-jacobi-standard	cuda-native-poisson-32-prepared-device-solve-jacobi-standard_cuda_api_sum.csv	0e22d69d4ecc8a6a64d0121936cc7e96b8ee48b4467831022ded4d0be2a52d18
cuda-native-poisson-32-prepared-device-solve-jacobi-standard	cuda-native-poisson-32-prepared-device-solve-jacobi-standard_cuda_gpu_kern_sum.csv	cfa3cddab963ec934ce920858f9c12468384c06e7ee15d02cb9bbcf89d1b8719
cuda-native-poisson-32-prepared-device-solve-jacobi-standard	cuda-native-poisson-32-prepared-device-solve-jacobi-standard_nvtx_pushpop_sum.csv	3a52c7708e05274042ded24efa979e349aa007a15c2947d88616c8c0520710d5
cuda-native-dense-1024-prepared-device-solve-none-explicit	cuda-native-dense-1024-prepared-device-solve-none-explicit-stats.log	3233b12e6e371a7430c4ae920ec8c797c7d96527c83c849befed034f73ddbecd
cuda-native-dense-1024-prepared-device-solve-none-explicit	cuda-native-dense-1024-prepared-device-solve-none-explicit.json	fc6bce4e5978e197e6af854ea8c8eefd934c5ead0c22e04eed90242771118816
cuda-native-dense-1024-prepared-device-solve-none-explicit	cuda-native-dense-1024-prepared-device-solve-none-explicit.log	17cbbd401377faaa784c33ec83936846d524fd36a5105f006421670f56acb1de
cuda-native-dense-1024-prepared-device-solve-none-explicit	cuda-native-dense-1024-prepared-device-solve-none-explicit.nsys-rep	4536319c464e0a268b187c9486169c04abf61aa4feafac438a2f537aeaaf787d
cuda-native-dense-1024-prepared-device-solve-none-explicit	cuda-native-dense-1024-prepared-device-solve-none-explicit.sqlite	cc996bdec8132b6309ae1c8670c3ee303181c97753d8c050bbb392ca1f0a44aa
cuda-native-dense-1024-prepared-device-solve-none-explicit	cuda-native-dense-1024-prepared-device-solve-none-explicit_cuda_api_sum.csv	d37e93f5666c535bd012388736cb99c7f93fea040ceb6f1a025df9b1aa894247
cuda-native-dense-1024-prepared-device-solve-none-explicit	cuda-native-dense-1024-prepared-device-solve-none-explicit_cuda_gpu_kern_sum.csv	9f71501e94181cb8684cb7df93d7936a04f780b43694f1307be6f6ff859ea01d
cuda-native-dense-1024-prepared-device-solve-none-explicit	cuda-native-dense-1024-prepared-device-solve-none-explicit_nvtx_pushpop_sum.csv	31b1d57111e1e8655bf5480baf08357746a2c52355745766c5a1b582d63a4016

To reproduce a capture, use the public source-install and project-local CUDA instructions in Installation and CUDA, build the recorded source, then run the matching public scripts/profile_solve.py inside Nsight Systems with capture-range=cudaProfilerApi and cuda,cublas,nvtx tracing. The ignored orchestrator is not needed. Nsight installation, WSL permissions and GPU availability are external prerequisites. Exact frozen command argv and all original summary CSV rows are retained in the analysis JSON.

For example, after building the recorded source with the CUDA command above:

PROJECT="$PWD"
mkdir -p build/restart-profile-reproduction
unset CUDA_LAUNCH_BLOCKING
CUBLAS_WORKSPACE_CONFIG=:4096:8 PYTHONPATH=build/reproduce-cuda-release/python \
taskset -c 0 nsys profile --capture-range=cudaProfilerApi \
  --capture-range-end=stop --trace=cuda,cublas,nvtx --sample=none --cpuctxsw=none \
  --output=build/restart-profile-reproduction/cublas-1024-api \
  "$PROJECT/.venv-cuda/bin/python" scripts/profile_solve.py \
  --suite cuda-dense-f64-v1 --implementation cuda-cublas --case dense-1024 \
  --device cuda --cuda-device 0 --scope api --probe solve \
  --preconditioner jacobi --algorithm standard --fused \
  --cuda-execution-mode device --seed 20261017 --threads 1 \
  --warmups 3 --repetitions 10 --rtol 1e-8 --atol 1e-12 \
  --maxiter 2000 --residual-refresh 50 --cuda-profiler \
  --output build/restart-profile-reproduction/cublas-1024-api.json
nsys stats --report cuda_api_sum,cuda_gpu_kern_sum,nvtx_pushpop_sum \
  --format csv --output build/restart-profile-reproduction/cublas-1024-api \
  build/restart-profile-reproduction/cublas-1024-api.nsys-rep

This example uses a completed public build and creates new capture files. It omits the original local frozen-stage identity, which is not shipped in Git. Change the case, scope, implementation, probe and algorithm flags to match each listed capture; keep its numerical and sampling settings fixed.