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amd-mixture-of-experts · submission 15412

AMD DeepSeek-style MoE layer · bs = 1 · seed = 9371 · seqlen = 2048 · dexpert = 2048 · dhidden = 7168 · nroutedexperts = 32 · nsharedexperts = 1 · nexpertspertoken = 4 · fp16 · run 01a006ce-04fb…
●passedReported evidence

Not re-observed recently.

Primary measurement
1.04smean of 29

Rank 82 in its comparison group · source-native comparison · observed 2025-05-03

Compare with #1 →

best ns 1034159635 · mean ns 1044913611.9310344 · leaderboard score s 2.0684443517183624

Identity
implementationamd-mixture-of-experts · submission 15412
projectKernelBot user 212
revisionsubmission-15412
workloadbs = 1 · seed = 9371 · seqlen = 2048 · dexpert = 2048 · dhidden = 7168 · nroutedexperts = 32 · nsharedexperts = 1 · nexpertspertoken = 4 · fp16
comparison keysha256:a11fec553fc287b0…
sourceGPU MODE KernelBot
external idsubmission/15412/benchmark/0
sha256:23a630eb79a2a5471048323…

Correctness

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

Workload

bs1
seed9371
seqlen2048
dexpert2048
dhidden7168
nroutedexperts32
nsharedexperts1
nexpertspertoken4
inputfp16 [1, 2048, 7168]
definition comparatorkernelbot_eval

Measurements

latency · max1.14 s · n=29
latency · mean1.04 s · n=29
latency · min1.03 s · n=29
latency · std25.8 ms · n=29

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": 29,
        "latencyNs": {
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          "maximum": 1138155483,
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        },
        "primaryStatistic": "mean"
      },
      "observedAt": "2025-05-03T16:50:39.140Z",
      "measurements": [
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          "unit": "ns",
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          "statistic": "std",
          "sampleCount": 29
        }
      ],
      "sourceNative": {
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        },
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        "externalId": "submission/15412"
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      "workloadDigest": "sha256:83ec2927d923cdd5616c8c43cb3970963f0fdec0c720c7a921b72f9ae73a4973",
      "environmentDigest": "sha256:f722892449ed976f3e21b12df8b92b34573fc232883fec6a2f3da399a00abdd5",
      "implementationDigest": "sha256:43a4c8b977b34f2efc76c8db29f302620f51bd4281f0c10bf5c87e223cea5624"
    },
    "metadata": {
      "name": "kernelbot-15412-bs1-dexpert2048-dhidden7168-nexpertspertoken4-nroutedexperts32-nsharedexperts1-seed9",
      "title": "amd-mixture-of-experts · submission 15412 · case 0",
      "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": {
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        "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"
      }
    },
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      "name": "gpumode-kernelbot-eval",
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      "software": {}
    },
    "metadata": {
      "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