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flashinfer / wrapperfe59e7

GQA ragged prefill causal h24 kv8 d128 · total_q = 858 · total_kv = 858 · len_indptr = 2 · bf16 · run 01a00b1e-2ccb…
●passedReported evidence
Primary measurement
66.6µsmean

Rank 1 in its comparison group · source-native comparison · observed 2026-04-12

12.62× reference

Identity
implementationflashinfer_wrapper_fe59e7
projectFlashInfer-Bench baselines
revisionda915083d4c7c5e61aa3005e3d17ae488e0fc71c
workloadtotal_q = 858 · total_kv = 858 · len_indptr = 2 · bf16
comparison keysha256:291eecc175b9daf3…
sourceFlashInfer-Bench
external idtrace/flashinfer_wrapper_fe59e7/e4406384-b0e4-43dc-9127-a8eb64306797
sha256:5b261f54983f87d21e1f19a…

Correctness

comparatorflashinfer_bench_eval
max absolute error0.015625
max relative error7131.8388671875
resultpassed

Workload

total_q858
total_kv858
len_indptr2
kbf16 [858, 8, 128]
qbf16 [858, 24, 128]
vbf16 [858, 8, 128]
kv_indptrint32 [2]
qo_indptrint32 [2]
definition comparatorsol_execbench_eval

Measurements

latency · mean66.6 µs

Protocol

harnessflashinfer-bench
timerharness_reported
primaryStatisticmean
correctnessReferencedefinition reference implementation
comparabilityFamilyflashinfer_bench_trace

Environment

gpuNVIDIA GB200 (unknown)
cudaToolkit13.0
frameworkpytorch 2.9.1+cu130

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": 66560
        },
        "primaryStatistic": "mean"
      },
      "observedAt": "2026-04-12T13:17:52.681Z",
      "correctness": {
        "comparator": "sol_execbench_eval",
        "maximumAbsoluteError": 0.015625,
        "maximumRelativeError": 7131.8388671875
      },
      "sourceNative": {
        "source": "flashinfer-bench",
        "metrics": {
          "latency_ms": 0.06656000018119812,
          "speedup_factor": 12.615224228595514,
          "reference_latency_ms": 0.8396693269411722
        },
        "benchmark": "gqa_ragged_prefill_causal_h24_kv8_d128"
      },
      "protocolDigest": "sha256:7d44d206ad086b4bece35ce31f6531ebb11f07e0d9dcfb74c75be86d3ec02095",
      "workloadDigest": "sha256:4db34b4062eea7e9d7eec955e650d86ee510f43131c010fd8a8648a22dc0bc40",
      "environmentDigest": "sha256:1766500d1b1ecc9787a211f3c98e76bf311671f443544a305252cb4d9564be8b",
      "implementationDigest": "sha256:1ae32bdf663d64c4ba87676614658cc570a1530f315eee8d5c4f3faeb9f2b080"
    },
    "metadata": {
      "name": "sol-trace-gqa-ragged-prefill-causal-h24-kv8-d128-e4406384",
      "title": "flashinfer_wrapper_fe59e7 · gqa_ragged_prefill_causal_h24_kv8_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 GB200",
        "architecture": "unknown"
      },
      "software": {
        "framework": {
          "name": "pytorch",
          "version": "2.9.1+cu130"
        },
        "libraries": {
          "triton": "3.3.0"
        },
        "cudaToolkit": "13.0"
      }
    },
    "metadata": {
      "name": "sol-trace-nvidia-gb200-2-9-1-cu130-3-3-0-13-0",
      "title": "NVIDIA GB200 (trace-reported software)"
    },
    "apiVersion": "kernelindex.dev/v1alpha1"
  }
}
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