torch.compile (inductor)
Matmul for lower triangular matrices · m = 4096 · fp32 · run 01a03f0e-f843…
●passedReported evidence
Not re-observed recently.
Primary measurement
3.77ms±0.00 · mean of 100
Rank 2 in its comparison group · source-native comparison · observed 2026-03-05
max ms 3.82 · min ms 3.76 · std ms 0.00912 · mean ms 3.77
Identity
implementationtorch.compile (inductor)
projectPyTorch
revisionunknown
workloadm = 4096 · fp32
comparison keysha256:9f87314431d51a1a…
sourceKernelBench baseline timings
external idH100_PCIe_LambdaLabs/torch-compile-inductor/level1/15_Matmul_for_lower_triangular_matrices.py
sha256:92db3d976a487743aa4ec06…
Correctness
Marked passed by the source; the correctness policy was not published.
Workload
m4096
afp32 [4096, 4096]
bfp32 [4096, 4096]
definition comparatornot_asserted
Measurements
latency · max3.82 ms · n=100
latency · mean3.77 ms · n=100
latency · min3.76 ms · n=100
latency · std9.12 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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{
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"observedAt": "2026-03-05T08:38:15.000Z",
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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 for lower triangular matrices →JSON