PyTorch eager
Tall skinny matrix multiplication · m = 32768 · n = 32 · fp32 · run 01a03f0e-f82f…
●passedReported evidence
Not re-observed recently.
Primary measurement
4.29ms±0.04 · mean of 100
Rank 1 in its comparison group · source-native comparison · observed 2026-03-05
max ms 4.42 · min ms 3.53 · std ms 0.197 · mean ms 4.29
Identity
implementationPyTorch eager
projectPyTorch
revisionunknown
workloadm = 32768 · n = 32 · fp32
comparison keysha256:2c8241aeffae2721…
sourceKernelBench baseline timings
external idH100_PCIe_LambdaLabs/torch/level1/9_Tall_skinny_matrix_multiplication_.py
sha256:a0b912d5d290d3af3fc360e…
Correctness
Marked passed by the source; the correctness policy was not published.
Workload
m32768
n32
afp32 [32768, 32]
bfp32 [32, 32768]
definition comparatornot_asserted
Measurements
latency · max4.42 ms · n=100
latency · mean4.29 ms · n=100
latency · min3.53 ms · n=100
latency · std197.0 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": 4290000,
"maximum": 4420000,
"minimum": 3530000,
"confidence95": [
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4328612
]
},
"primaryStatistic": "mean"
},
"observedAt": "2026-03-05T08:38:15.000Z",
"measurements": [
{
"unit": "ns",
"value": 197000,
"metric": "latency",
"statistic": "std"
}
],
"sourceNative": {
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"metrics": {
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"min_ms": 3.53,
"std_ms": 0.197,
"mean_ms": 4.29
},
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"implementationDigest": "sha256:e56e42b6246545d6d3bd0afd748bf8703ee7b6f47f85eb69cce3c9d300cd5880"
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"metadata": {
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"title": "Tall skinny matrix multiplication · PyTorch eager · Lambda Labs"
},
"apiVersion": "kernelindex.dev/v1alpha1"
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"protocol": {
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"spec": {
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},
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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.",
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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 Tall skinny matrix multiplication →JSON