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claude-opus-4-1 / triton28277f

GQA ragged prefill causal h32 kv4 d128 · total_q = 1 · total_kv = 1 · len_indptr = 2 · bf16 · run 01a02032-4e18…
●passedReported evidence

Not re-observed recently.

Primary measurement
129.3µsmean

Rank 9 in its comparison group · source-native comparison · observed 2025-10-20

Compare with #1 →

32.55× reference

Identity
implementationclaude-opus-4-1_triton_28277f
projectclaude-opus-4-1-20250805
revisionda915083d4c7c5e61aa3005e3d17ae488e0fc71c
workloadtotal_q = 1 · total_kv = 1 · len_indptr = 2 · bf16
comparison keysha256:5bb9526d874f4d83…
sourceFlashInfer-Bench
external idtrace/claude-opus-4-1_triton_28277f/3860876f-aa97-4b4c-8016-592689ef76ef
sha256:3ccbed69361cadec2cf61fb…

Correctness

comparatorflashinfer_bench_eval
max absolute error7.152557373046875e-7
max relative error0.0000388553089578636
resultpassed

Workload

total_q1
total_kv1
len_indptr2
kbf16 [1, 4, 128]
qbf16 [1, 32, 128]
vbf16 [1, 4, 128]
kv_indptrint32 [2]
qo_indptrint32 [2]
definition comparatorsol_execbench_eval

Measurements

latency · mean129.3 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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Canonical manifest

Show manifest
{
  "run": {
    "kind": "BenchmarkRun",
    "spec": {
      "status": "passed",
      "timing": {
        "latencyNs": {
          "mean": 129286
        },
        "primaryStatistic": "mean"
      },
      "observedAt": "2025-10-20T01:08:31.464Z",
      "correctness": {
        "comparator": "sol_execbench_eval",
        "maximumAbsoluteError": 7.152557373046875e-7,
        "maximumRelativeError": 0.0000388553089578636
      },
      "sourceNative": {
        "source": "flashinfer-bench",
        "metrics": {
          "latency_ms": 0.12928649422536284,
          "speedup_factor": 32.55134889105821,
          "reference_latency_ms": 4.208449780431568
        },
        "benchmark": "gqa_ragged_prefill_causal_h32_kv4_d128"
      },
      "protocolDigest": "sha256:7d44d206ad086b4bece35ce31f6531ebb11f07e0d9dcfb74c75be86d3ec02095",
      "workloadDigest": "sha256:ce816742d593a014a91a7133692c87e466e12471648bc19d2623de6d1ba69f4a",
      "environmentDigest": "sha256:f4292a8be127b7230cd3995c1d605fb6c644e2c2f94566e1d28cc1be766ca5d5",
      "implementationDigest": "sha256:b6c7a77a7154a6c178f823fddb57fffe8bc08b69cbb48566995c53b7ce9d6dae"
    },
    "metadata": {
      "name": "sol-trace-gqa-ragged-prefill-causal-h32-kv4-d128-3860876f",
      "title": "claude-opus-4-1_triton_28277f · gqa_ragged_prefill_causal_h32_kv4_d128"
    },
    "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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