torch.compile (inductor)
Matmul with small K dimension · k = 64 · m = 32768 · n = 32768 · fp32 · run 01a03f0e-f6de…
●passedReported evidence
Not re-observed recently.
Primary measurement
4.07ms±0.02 · mean of 100
Rank 2 in its comparison group · source-native comparison · observed 2026-03-05
max ms 5.1 · min ms 4.04 · std ms 0.105 · mean ms 4.07
Identity
implementationtorch.compile (inductor)
projectPyTorch
revisionunknown
workloadk = 64 · m = 32768 · n = 32768 · fp32
comparison keysha256:1ef3d7a4c51224ad…
sourceKernelBench baseline timings
external idH100_Modal/torch-compile-inductor/level1/7_Matmul_with_small_K_dimension_.py
sha256:986b3bdfab9f61bac1c1b71…
Correctness
Marked passed by the source; the correctness policy was not published.
Workload
k64
m32768
n32768
afp32 [32768, 64]
bfp32 [64, 32768]
definition comparatornot_asserted
Measurements
latency · max5.10 ms · n=100
latency · mean4.07 ms · n=100
latency · min4.04 ms · n=100
latency · std105.0 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": {
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"spec": {
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"timing": {
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"latencyNs": {
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]
},
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},
"observedAt": "2026-03-05T08:38:15.000Z",
"measurements": [
{
"unit": "ns",
"value": 105000,
"metric": "latency",
"statistic": "std"
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},
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"metadata": {
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"title": "Matmul with small K dimension · torch.compile (inductor) · Modal"
},
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"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.",
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},
"metadata": {
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}
}Cite this record (permalink, digest, access date)
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Published 2026-08-26 · KernelBench baseline timings · MITAll results for Matmul with small K dimension →JSON