submission 29949
AMD FP8 blockwise GEMM · k = 2048 · m = 6144 · n = 7168 · seed = 76547 · fp32/fp8_e4m3fnuz · run 01a006cb-b541…
●passedReported evidence
Not re-observed recently.
Primary measurement
308.0µsmean of 100
Rank 7 in its comparison group · source-native comparison · observed 2025-06-01
best ns 296900 · mean ns 308002.63 · leaderboard score s 0.00010545016832814765
Identity
implementationsubmission 29949
projectKernelBot user 44
revisionsubmission-29949
workloadk = 2048 · m = 6144 · n = 7168 · seed = 76547 · fp32/fp8_e4m3fnuz
comparison keysha256:ecd642b88301f842…
sourceGPU MODE KernelBot
external idsubmission/29949/benchmark/13
sha256:214446dfed474b12cdadfce…
Correctness
Marked passed by the source; the correctness policy was not published.
Workload
k2048
m6144
n7168
seed76547
afp8_e4m3fnuz [6144, 2048]
bfp8_e4m3fnuz [7168, 2048]
a_scalefp32 [6144, 16]
b_scalefp32 [56, 16]
definition comparatorkernelbot_eval
Measurements
latency · max319.7 µs · n=100
latency · mean308.0 µs · n=100
latency · min296.9 µs · n=100
latency · std4.90 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": 308003,
"maximum": 319693,
"minimum": 296900
},
"primaryStatistic": "mean"
},
"observedAt": "2025-06-01T12:36:51.411Z",
"measurements": [
{
"unit": "ns",
"value": 4901.139219568851,
"metric": "latency",
"statistic": "std",
"sampleCount": 100
}
],
"sourceNative": {
"source": "gpumode-kernelbot",
"metrics": {
"best_ns": 296900,
"mean_ns": 308002.63,
"leaderboard_score_s": 0.00010545016832814765
},
"benchmark": "amd-fp8-mm/13",
"externalId": "submission/29949"
},
"protocolDigest": "sha256:7c66da4b5866502eb10444a7ba013d0f6bdf1620c55847945008cad2fbf98aec",
"workloadDigest": "sha256:c4f07331e379718594de13232bbaf8d3cb3e19d44c1230a12f17c2364f0f27cd",
"environmentDigest": "sha256:f722892449ed976f3e21b12df8b92b34573fc232883fec6a2f3da399a00abdd5",
"implementationDigest": "sha256:d2d68599be35172aa809efaa335c373888add89535910bcd7a756737f689baab"
},
"metadata": {
"name": "kernelbot-29949-k2048-m6144-n7168-seed76547",
"title": "amd-fp8-mm · submission 29949 · case 13",
"labels": {
"torch": "2.8.0.dev20250530+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