Run 01a006c1 · KernelIndex

Primary measurement

64.2µsgeomean

Rank 31 in its comparison group · source-native comparison · observed 2026-03-15

Compare with #1 →

leaderboard score s 0.00006417214026535515

Identity

implementationsubmission 555564

projectpradeep03071

revisionsubmission-555564

workloadsuite of 3 cases · geomean score

comparison keysha256:9773ef2f5144e566…

sourceGPU MODE KernelBot

external idsubmission/555564/leaderboard

sha256:9eb42a98ba866e6b8dea9a3…

Correctness

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

Workload

definition comparatorkernelbot_eval

Measurements

score · geomean64.2 µs

Protocol

harnessreference-kernels eval.py

timerwall_clock

primaryStatisticgeomean

correctnessReferenceproblem reference implementation

comparabilityFamilygpumode_kernelbot

Environment

gpuNVIDIA B200 (sm_100)

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.

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Canonical manifest

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{
  "run": {
    "kind": "BenchmarkRun",
    "spec": {
      "status": "passed",
      "observedAt": "2026-03-15T01:05:07.938Z",
      "measurements": [
        {
          "unit": "s",
          "value": 0.00006417214026535515,
          "metric": "score",
          "statistic": "geomean"
        }
      ],
      "sourceNative": {
        "source": "gpumode-kernelbot",
        "metrics": {
          "leaderboard_score_s": 0.00006417214026535515
        },
        "benchmark": "causal_conv1d",
        "externalId": "submission/555564"
      },
      "protocolDigest": "sha256:07f73e59fb4c7fac9bf84af1e107001e008035039bb08edcf6948cea84a7027f",
      "workloadDigest": "sha256:6310dc90d076c0b2ce800d298f8ca282bdfaed3c1f39e0d3729eb67142c2cf9d",
      "environmentDigest": "sha256:ae9023c10f29175df672364d1c12236ab822f4cc36316069a7f7a4ca9cacabe8",
      "implementationDigest": "sha256:9f019a037a521892e4dc52acd56759a94a417595054ed68af6bb54635c1618d0"
    },
    "metadata": {
      "name": "kernelbot-555564-leaderboard",
      "title": "causal_conv1d · submission 555564 · leaderboard score"
    },
    "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": "geomean"
      },
      "comparability": {
        "notes": "Aggregate leaderboard score in seconds over the problem's published benchmark suite, as computed by the upstream ranked run. Comparable only within one leaderboard problem and runner type.",
        "family": "gpumode_kernelbot"
      }
    },
    "metadata": {
      "name": "gpumode-kernelbot-leaderboard-geomean",
      "title": "GPU MODE KernelBot ranked leaderboard run"
    },
    "apiVersion": "kernelindex.dev/v1alpha1"
  },
  "environment": {
    "kind": "ExecutionEnvironment",
    "spec": {
      "hardware": {
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      },
      "software": {}
    },
    "metadata": {
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      "title": "KernelBot runner · NVIDIA B200"
    },
    "apiVersion": "kernelindex.dev/v1alpha1"
  }
}

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Published 2026-08-15 · GPU MODE KernelBot · June 9 Researcher Reciprocity License v1.0All results for Causal depthwise conv1d →JSON