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flashinfer / wrapper0ff432

Fused add RMSNorm h4096 · batch_size = 11832 · bf16 · run 01a00b1e-825f…
●passedReported evidence

Not re-observed recently.

Primary measurement
77.1µsmean

Rank 4 in its comparison group · source-native comparison · observed 2025-10-21

Compare with #1 →

9.41× reference

Identity
implementationflashinfer_wrapper_0ff432
projectFlashInfer-Bench baselines
revisionda915083d4c7c5e61aa3005e3d17ae488e0fc71c
workloadbatch_size = 11832 · bf16
comparison keysha256:c9923659e4477ef9…
sourceFlashInfer-Bench
external idtrace/flashinfer_wrapper_0ff432/06936f65-e175-42d8-a90d-8b59e38a346d
sha256:474e0f4c2e0252457e41874…

Correctness

comparatorflashinfer_bench_eval
max absolute error0.03125
max relative error0.007751937955617905
resultpassed

Workload

batch_size11832
weightbf16 [4096]
residualbf16 [11832, 4096]
hidden_statesbf16 [11832, 4096]
definition comparatorsol_execbench_eval

Measurements

latency · mean77.1 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

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Replications and notes

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Canonical manifest

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{
  "run": {
    "kind": "BenchmarkRun",
    "spec": {
      "status": "passed",
      "timing": {
        "latencyNs": {
          "mean": 77102
        },
        "primaryStatistic": "mean"
      },
      "observedAt": "2025-10-21T13:38:38.991Z",
      "correctness": {
        "comparator": "sol_execbench_eval",
        "maximumAbsoluteError": 0.03125,
        "maximumRelativeError": 0.007751937955617905
      },
      "sourceNative": {
        "source": "flashinfer-bench",
        "metrics": {
          "latency_ms": 0.07710200232890364,
          "speedup_factor": 9.408637223938726,
          "reference_latency_ms": 0.7254247691519331
        },
        "benchmark": "fused_add_rmsnorm_h4096"
      },
      "protocolDigest": "sha256:7d44d206ad086b4bece35ce31f6531ebb11f07e0d9dcfb74c75be86d3ec02095",
      "workloadDigest": "sha256:35b03ed44825322ce032aa5c561fa007c4e33ec9ea0ccbdaccb2deb6f7c244b6",
      "environmentDigest": "sha256:f4292a8be127b7230cd3995c1d605fb6c644e2c2f94566e1d28cc1be766ca5d5",
      "implementationDigest": "sha256:7e36a87a751b03415e29026bb80864ced3ab0bef7dde027925013bec04a75163"
    },
    "metadata": {
      "name": "sol-trace-fused-add-rmsnorm-h4096-06936f65",
      "title": "flashinfer_wrapper_0ff432 · fused_add_rmsnorm_h4096"
    },
    "apiVersion": "kernelindex.dev/v1alpha1"
  },
  "protocol": {
    "kind": "BenchmarkProtocol",
    "spec": {
      "harness": {
        "name": "flashinfer-bench",
        "repository": "https://github.com/flashinfer-ai/flashinfer-bench"
      },
      "correctness": {
        "reference": "definition reference implementation",
        "comparator": "flashinfer_bench_eval"
      },
      "measurement": {
        "timer": "harness_reported",
        "primaryStatistic": "mean"
      },
      "comparability": {
        "family": "flashinfer_bench_trace"
      }
    },
    "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": {
        "framework": {
          "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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