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submission 512434

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_r1_mm_out.py
curl "https://kernelindex.com/api/v1/implementations/kernelbot-matmul-v2-512434?include=source"
interfacepython
Compatibility
measured onNVIDIA B200
declared hardwareNVIDIA B200
architecturessm_100
dtypesfp16

Benchmark evidence

1 measurement across 1 GPU, fastest first.

Operation / workload
Hardware
Latency
Rank
Observed
FP16 matmulsuite of 8 cases
NVIDIA B200
113.5µs
#9 of 53
2026-03-02

Reported · How evidence levels are derived →

Source and license

sourceavailable
revision digestsha256:88887bc94d1996bb6fc8035a198b1dac311682055d8eb3ce134db8011822a2a0
license declaredunknown
license concludedunknown
authorsburtenshaw
imported2026-08-15

Kernel source

submission_team_mm_r1_mm_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.mm(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 512329.

#!POPCORN leaderboard matmul_v2
- #!POPCORN gpu A100
+ #!POPCORN gpu L4
import os
- # Needed for deterministic matmul path used by the evaluator's reference check.
+
os.environ.setdefault("CUBLAS_WORKSPACE_CONFIG", ":4096:8")
import torch
from task import input_t, output_t
- from utils import DeterministicContext
def custom_kernel(data: input_t) -> output_t:
a, b, c = data
- with DeterministicContext():
- c[...] = a @ b
+ torch.mm(a, b, out=c)
return c

Best evidence level for this revision: reported

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