submission 19003
AMD FP8 blockwise GEMM · k = 1536 · m = 6144 · n = 3072 · seed = 234 · fp32/fp8_e4m3fnuz · run 01a006cb-f5c4…
●passedReported evidence
Not re-observed recently.
Primary measurement
145.8µsmean of 89
Rank 23 in its comparison group · source-native comparison · observed 2025-05-09
best ns 143148 · mean ns 145774.59550561797 · leaderboard score s 0.00012982403019457558
Identity
implementationsubmission 19003
projectKernelBot user 376
revisionsubmission-19003
workloadk = 1536 · m = 6144 · n = 3072 · seed = 234 · fp32/fp8_e4m3fnuz
comparison keysha256:26b07cf1a8783695…
sourceGPU MODE KernelBot
external idsubmission/19003/benchmark/10
sha256:9ae69ae7cf8afacdc67adcb…
Correctness
Marked passed by the source; the correctness policy was not published.
Workload
k1536
m6144
n3072
seed234
afp8_e4m3fnuz [6144, 1536]
bfp8_e4m3fnuz [3072, 1536]
a_scalefp32 [6144, 12]
b_scalefp32 [24, 12]
definition comparatorkernelbot_eval
Measurements
latency · max149.0 µs · n=89
latency · mean145.8 µs · n=89
latency · min143.1 µs · n=89
latency · std1.37 µs · n=89
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": 89,
"latencyNs": {
"mean": 145775,
"maximum": 148967,
"minimum": 143148
},
"primaryStatistic": "mean"
},
"observedAt": "2025-05-09T21:48:54.017Z",
"measurements": [
{
"unit": "ns",
"value": 1372.9949903826796,
"metric": "latency",
"statistic": "std",
"sampleCount": 89
}
],
"sourceNative": {
"source": "gpumode-kernelbot",
"metrics": {
"best_ns": 143148,
"mean_ns": 145774.59550561797,
"leaderboard_score_s": 0.00012982403019457558
},
"benchmark": "amd-fp8-mm/10",
"externalId": "submission/19003"
},
"protocolDigest": "sha256:7c66da4b5866502eb10444a7ba013d0f6bdf1620c55847945008cad2fbf98aec",
"workloadDigest": "sha256:57c745e3307071d1255fe6b805373b8f409c70a6f18807a68f1da1f2c06c43df",
"environmentDigest": "sha256:f722892449ed976f3e21b12df8b92b34573fc232883fec6a2f3da399a00abdd5",
"implementationDigest": "sha256:effe77cde9b05ae9e85075a0bade087f01c42e81e8ca4baef44e49ea015a07a6"
},
"metadata": {
"name": "kernelbot-19003-k1536-m6144-n3072-seed234",
"title": "amd-fp8-mm · submission 19003 · case 10",
"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