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amd-mixture-of-experts · submission 12732

AMD DeepSeek-style MoE layer · bs = 2 · seed = 12819 · seqlen = 4096 · dexpert = 2048 · dhidden = 7168 · nroutedexperts = 32 · nsharedexperts = 1 · nexpertspertoken = 4 · fp16 · run 01a006cd-caa5…
●passedReported evidence

Not re-observed recently.

Primary measurement
6.24smean of 3

Rank 1 in its comparison group · source-native comparison · observed 2025-04-29

best ns 6233344633 · mean ns 6239639932.666667 · leaderboard score s 6.22846107348973

Identity
implementationamd-mixture-of-experts · submission 12732
projectKernelBot user 193
revisionsubmission-12732
workloadbs = 2 · seed = 12819 · seqlen = 4096 · dexpert = 2048 · dhidden = 7168 · nroutedexperts = 32 · nsharedexperts = 1 · nexpertspertoken = 4 · fp16
comparison keysha256:05d254b826f15bd6…
sourceGPU MODE KernelBot
external idsubmission/12732/benchmark/1
sha256:0fc7bf4721ec9ed213f1d6d…

Correctness

Marked passed by the source; the correctness policy was not published.

Workload

bs2
seed12819
seqlen4096
dexpert2048
dhidden7168
nroutedexperts32
nsharedexperts1
nexpertspertoken4
inputfp16 [2, 4096, 7168]
definition comparatorkernelbot_eval

Measurements

latency · max6.24 s · n=3
latency · mean6.24 s · n=3
latency · min6.23 s · n=3
latency · std5.47 ms · n=3

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

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Canonical manifest

Show manifest
{
  "run": {
    "kind": "BenchmarkRun",
    "spec": {
      "status": "passed",
      "timing": {
        "samples": 3,
        "latencyNs": {
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          "maximum": 6243247098,
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        },
        "primaryStatistic": "mean"
      },
      "observedAt": "2025-04-29T19:23:42.925Z",
      "measurements": [
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          "unit": "ns",
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      "sourceNative": {
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      "workloadDigest": "sha256:35f375e7a77c580f0381aae4207dd30d38957ea4b0c434f5fcecdbf3ef8bd5a8",
      "environmentDigest": "sha256:f722892449ed976f3e21b12df8b92b34573fc232883fec6a2f3da399a00abdd5",
      "implementationDigest": "sha256:cc60d026136a3dcedcb630e2fa93c8207544ba6d8f1d3c91b9c68932a5654dfd"
    },
    "metadata": {
      "name": "kernelbot-12732-bs2-dexpert2048-dhidden7168-nexpertspertoken4-nroutedexperts32-nsharedexperts1-seed1",
      "title": "amd-mixture-of-experts · submission 12732 · case 1",
      "labels": {
        "torch": "2.8.0.dev20250428+rocm6.3",
        "platform": "Linux-5.15.0-136-generic-x86_64-with-glibc2.35"
      }
    },
    "apiVersion": "kernelindex.dev/v1alpha1"
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  "protocol": {
    "kind": "BenchmarkProtocol",
    "spec": {
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        "name": "reference-kernels eval.py",
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      },
      "correctness": {
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      },
      "measurement": {
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        "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": {
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      "name": "gpumode-kernelbot-amd-instinct-mi300x",
      "title": "KernelBot runner · AMD Instinct MI300X"
    },
    "apiVersion": "kernelindex.dev/v1alpha1"
  }
}
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Published 2026-08-15 · GPU MODE KernelBot · June 9 Researcher Reciprocity License v1.0All results for AMD DeepSeek-style MoE layer →JSON