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submission 512443

burtenshaw · python · License unknown

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Vendorable · source mirrored · license unknownView source →

No package. Vendor the mirrored source: 17 lines, June 9 Researcher Reciprocity License v1.0.

submission_team_mm_r2_matmul_out.py
curl "https://kernelindex.com/api/v1/implementations/kernelbot-matmul-v2-512443?include=source"
interfacepython
Compatibility
measured onNVIDIA H100
declared hardwareNVIDIA H100
architecturessm_90
dtypesfp16

Benchmark evidence

1 measurement across 1 GPU, fastest first.

Operation / workload
Hardware
Latency
Rank
Observed
FP16 matmulsuite of 8 cases
NVIDIA H100
220.5µs
#5 of 28
2026-03-02

Reported · How evidence levels are derived →

Source and license

sourceavailable
revision digestsha256:c91ffeba1fa95b8978fd86fa383734ca5dfe31da5aeb460f392b17f5cc761b95
license declaredunknown
license concludedunknown
authorsburtenshaw
imported2026-08-15

Kernel source

submission_team_mm_r2_matmul_out.py17 lines
#!POPCORN leaderboard matmul_v2
#!POPCORN gpu L4

import os

os.environ.setdefault("CUBLAS_WORKSPACE_CONFIG", ":4096:8")

import torch

from task import input_t, output_t


def custom_kernel(data: input_t) -> output_t:
    a, b, c = data
    torch.matmul(a, b, out=c)
    return c

Source code from GPU Mode and the KernelBot dataset · June 9 Researcher Reciprocity License v1.0

Changes from previous submission

Against this author's previous submission submission 512436.

⋯ 11 unchanged lines
def custom_kernel(data: input_t) -> output_t:
a, b, c = data
- torch.mm(a, b, out=c)
+ torch.matmul(a, b, out=c)
return c

Best evidence level for this revision: reported

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