torch.compile (inductor)
Matrix vector multiplication · k = 1048576 · m = 2048 · fp32 · run 01a03f0e-f843…
●passedReported evidence
Not re-observed recently.
Primary measurement
4.53ms±0.00 · mean of 100
Rank 2 in its comparison group · source-native comparison · observed 2026-03-05
max ms 4.54 · min ms 4.52 · std ms 0.00389 · mean ms 4.53
Identity
implementationtorch.compile (inductor)
projectPyTorch
revisionunknown
workloadk = 1048576 · m = 2048 · fp32
comparison keysha256:219a1a427b5db91a…
sourceKernelBench baseline timings
external idH100_PCIe_LambdaLabs/torch-compile-inductor/level1/4_Matrix_vector_multiplication_.py
sha256:d8a88ca290b3ae6de2ea644…
Correctness
Marked passed by the source; the correctness policy was not published.
Workload
k1048576
m2048
afp32 [2048, 1048576]
bfp32 [1048576, 1]
definition comparatornot_asserted
Measurements
latency · max4.54 ms · n=100
latency · mean4.53 ms · n=100
latency · min4.52 ms · n=100
latency · std3.89 µs
Protocol
harnessKernelBench timing scripts
timercuda_events
primaryStatisticmean
comparabilityFamilykernelbench_baseline_timing
Environment
gpuNVIDIA H100 (sm_90)
Artifacts
No artifacts published with this run.
Replications and notes
No attestations yet.
Community attestations. They never change the evidence level; only a KernelIndex-controlled rerun does.
Add a reproduction or note
Canonical manifest
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{
"run": {
"kind": "BenchmarkRun",
"spec": {
"status": "passed",
"timing": {
"samples": 100,
"latencyNs": {
"mean": 4530000,
"maximum": 4540000,
"minimum": 4520000,
"confidence95": [
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]
},
"primaryStatistic": "mean"
},
"observedAt": "2026-03-05T08:38:15.000Z",
"measurements": [
{
"unit": "ns",
"value": 3890,
"metric": "latency",
"statistic": "std"
}
],
"sourceNative": {
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"metrics": {
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},
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"metadata": {
"name": "kernelbench-h100-pcie-lambdalabs-torch-compile-inductor-l1-4-matrix-vector-multiplication",
"title": "Matrix vector multiplication · torch.compile (inductor) · Lambda Labs"
},
"apiVersion": "kernelindex.dev/v1alpha1"
},
"protocol": {
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"spec": {
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},
"comparability": {
"notes": "Mean of 100 timed forward passes (CUDA events, warm-up excluded) of the reference module on fixed inputs; the 95% interval is the mean's, from the reported standard deviation. The upstream JSON records no torch or CUDA version. Comparable only within one problem and one timing host.",
"family": "kernelbench_baseline_timing"
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},
"metadata": {
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},
"apiVersion": "kernelindex.dev/v1alpha1"
}
}Cite this record (permalink, digest, access date)
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Published 2026-08-26 · KernelBench baseline timings · MITAll results for Matrix vector multiplication →JSON