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claude-opus-4-1 / tritonf41fa3

Fused add RMSNorm h4096 · batch_size = 34 · bf16 · run 01a02032-5010…
●passedReported evidence

Not re-observed recently.

Primary measurement
20.5µsmean

Rank 6 in its comparison group · source-native comparison · observed 2025-10-16

Compare with #1 →

56.46× reference

Identity
implementationclaude-opus-4-1_triton_f41fa3
projectclaude-opus-4-1-20250805
revisionda915083d4c7c5e61aa3005e3d17ae488e0fc71c
workloadbatch_size = 34 · bf16
comparison keysha256:fe7a9eb74af889f1…
sourceFlashInfer-Bench
external idtrace/claude-opus-4-1_triton_f41fa3/04e1c8da-5407-4d96-876c-a27259fe7ecf
sha256:e2bed3406426559caef642b…

Correctness

comparatorflashinfer_bench_eval
max absolute error0.0078125
max relative error0.0062500000931322575
resultpassed

Workload

batch_size34
weightbf16 [4096]
residualbf16 [34, 4096]
hidden_statesbf16 [34, 4096]
definition comparatorsol_execbench_eval

Measurements

latency · mean20.5 µs

Protocol

harnessflashinfer-bench
timerharness_reported
primaryStatisticmean
correctnessReferencedefinition reference implementation
comparabilityFamilyflashinfer_bench_trace

Environment

gpuNVIDIA B200 (unknown)
cudaToolkit12.8
frameworkpytorch 2.8.0+cu128

Artifacts

No artifacts published with this run.

Replications and notes

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Canonical manifest

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{
  "run": {
    "kind": "BenchmarkRun",
    "spec": {
      "status": "passed",
      "timing": {
        "latencyNs": {
          "mean": 20475
        },
        "primaryStatistic": "mean"
      },
      "observedAt": "2025-10-16T12:07:36.575Z",
      "correctness": {
        "comparator": "sol_execbench_eval",
        "maximumAbsoluteError": 0.0078125,
        "maximumRelativeError": 0.0062500000931322575
      },
      "sourceNative": {
        "source": "flashinfer-bench",
        "metrics": {
          "latency_ms": 0.02047524326729978,
          "speedup_factor": 56.45945823134746,
          "reference_latency_ms": 1.1560211420267903
        },
        "benchmark": "fused_add_rmsnorm_h4096"
      },
      "protocolDigest": "sha256:7d44d206ad086b4bece35ce31f6531ebb11f07e0d9dcfb74c75be86d3ec02095",
      "workloadDigest": "sha256:30c05d7aabf935d0cdc8d6917badf3c05d6aac124a811b4b75309799728413ff",
      "environmentDigest": "sha256:f4292a8be127b7230cd3995c1d605fb6c644e2c2f94566e1d28cc1be766ca5d5",
      "implementationDigest": "sha256:20a28fef1dc6dd89a6265f996debed9992b5f57d9cf15e0081b45684dc53bab2"
    },
    "metadata": {
      "name": "sol-trace-fused-add-rmsnorm-h4096-04e1c8da",
      "title": "claude-opus-4-1_triton_f41fa3 · fused_add_rmsnorm_h4096"
    },
    "apiVersion": "kernelindex.dev/v1alpha1"
  },
  "protocol": {
    "kind": "BenchmarkProtocol",
    "spec": {
      "harness": {
        "name": "flashinfer-bench",
        "repository": "https://github.com/flashinfer-ai/flashinfer-bench"
      },
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        "comparator": "flashinfer_bench_eval"
      },
      "measurement": {
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        "primaryStatistic": "mean"
      },
      "comparability": {
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      }
    },
    "metadata": {
      "name": "flashinfer-bench-trace",
      "title": "FlashInfer-Bench trace harness"
    },
    "apiVersion": "kernelindex.dev/v1alpha1"
  },
  "environment": {
    "kind": "ExecutionEnvironment",
    "spec": {
      "hardware": {
        "vendor": "nvidia",
        "product": "NVIDIA B200",
        "architecture": "unknown"
      },
      "software": {
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          "name": "pytorch",
          "version": "2.8.0+cu128"
        },
        "libraries": {
          "triton": "3.4.0"
        },
        "cudaToolkit": "12.8"
      }
    },
    "metadata": {
      "name": "sol-trace-nvidia-b200-2-8-0-cu128-3-4-0-12-8",
      "title": "NVIDIA B200 (trace-reported software)"
    },
    "apiVersion": "kernelindex.dev/v1alpha1"
  }
}
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