submission 18398
AMD FP8 blockwise GEMM · k = 512 · m = 6144 · n = 4096 · seed = 45245 · fp32/fp8_e4m3fnuz · run 01a006cc-977e…
●passedReported evidence
Not re-observed recently.
Primary measurement
141.3µsmean of 100
Rank 66 in its comparison group · source-native comparison · observed 2025-05-08
best ns 137472 · mean ns 141316.21 · leaderboard score s 0.00022790468791407455
Identity
implementationsubmission 18398
projectKernelBot user 160
revisionsubmission-18398
workloadk = 512 · m = 6144 · n = 4096 · seed = 45245 · fp32/fp8_e4m3fnuz
comparison keysha256:48d8f1ba5824d5f0…
sourceGPU MODE KernelBot
external idsubmission/18398/benchmark/17
sha256:5dfe32f284fa452778da46a…
Correctness
Marked passed by the source; the correctness policy was not published.
Workload
k512
m6144
n4096
seed45245
afp8_e4m3fnuz [6144, 512]
bfp8_e4m3fnuz [4096, 512]
a_scalefp32 [6144, 4]
b_scalefp32 [32, 4]
definition comparatorkernelbot_eval
Measurements
latency · max146.3 µs · n=100
latency · mean141.3 µs · n=100
latency · min137.5 µs · n=100
latency · std1.55 µs · n=100
Protocol
harnessreference-kernels eval.py
timerwall_clock
primaryStatisticmean
correctnessReferenceproblem reference implementation
comparabilityFamilygpumode_kernelbot
Environment
gpuAMD Instinct MI300X (gfx942)
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": 141316,
"maximum": 146272,
"minimum": 137472
},
"primaryStatistic": "mean"
},
"observedAt": "2025-05-08T19:23:56.001Z",
"measurements": [
{
"unit": "ns",
"value": 1546.1832401174843,
"metric": "latency",
"statistic": "std",
"sampleCount": 100
}
],
"sourceNative": {
"source": "gpumode-kernelbot",
"metrics": {
"best_ns": 137472,
"mean_ns": 141316.21,
"leaderboard_score_s": 0.00022790468791407455
},
"benchmark": "amd-fp8-mm/17",
"externalId": "submission/18398"
},
"protocolDigest": "sha256:7c66da4b5866502eb10444a7ba013d0f6bdf1620c55847945008cad2fbf98aec",
"workloadDigest": "sha256:7abaa408db7db8223ddf43894599da332af58f41bf9e8c2406d24abfc154c3ee",
"environmentDigest": "sha256:f722892449ed976f3e21b12df8b92b34573fc232883fec6a2f3da399a00abdd5",
"implementationDigest": "sha256:3bf1ea392d2ad9cd7cbc14bed2ed98a912aac14e532f17a4b2dd06194ce68fca"
},
"metadata": {
"name": "kernelbot-18398-k512-m6144-n4096-seed45245",
"title": "amd-fp8-mm · submission 18398 · case 17",
"labels": {
"torch": "2.8.0.dev20250502+rocm6.3",
"platform": "Linux-5.15.0-136-generic-x86_64-with-glibc2.35"
}
},
"apiVersion": "kernelindex.dev/v1alpha1"
},
"protocol": {
"kind": "BenchmarkProtocol",
"spec": {
"harness": {
"name": "reference-kernels eval.py",
"repository": "https://github.com/gpu-mode/reference-kernels"
},
"correctness": {
"reference": "problem reference implementation",
"comparator": "kernelbot_eval"
},
"measurement": {
"timer": "wall_clock",
"primaryStatistic": "mean"
},
"comparability": {
"notes": "Per-case wall-clock statistics as published in the KernelBot dataset. Comparable only within one leaderboard problem and GPU type; runner software versions ride each run's labels.",
"family": "gpumode_kernelbot"
}
},
"metadata": {
"name": "gpumode-kernelbot-eval",
"title": "GPU MODE KernelBot evaluation harness"
},
"apiVersion": "kernelindex.dev/v1alpha1"
},
"environment": {
"kind": "ExecutionEnvironment",
"spec": {
"hardware": {
"vendor": "amd",
"product": "AMD Instinct MI300X",
"architecture": "gfx942"
},
"software": {}
},
"metadata": {
"name": "gpumode-kernelbot-amd-instinct-mi300x",
"title": "KernelBot runner · AMD Instinct MI300X"
},
"apiVersion": "kernelindex.dev/v1alpha1"
}
}Cite this record (permalink, digest, access date)
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Published 2026-08-15 · GPU MODE KernelBot · June 9 Researcher Reciprocity License v1.0All results for AMD FP8 blockwise GEMM →JSON