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flashinfer / wrapper463e16

GQA ragged prefill causal h32 kv16 d128 · total_q = 1 · total_kv = 1 · len_indptr = 2 · bf16 · run 01a00b1e-3160…
●passedReported evidence
Primary measurement
10.2µsmean

Rank 1 in its comparison group · source-native comparison · observed 2026-04-09

Compare with #1 →

31.13× reference

Identity
implementationflashinfer_wrapper_463e16
projectFlashInfer-Bench baselines
revisionda915083d4c7c5e61aa3005e3d17ae488e0fc71c
workloadtotal_q = 1 · total_kv = 1 · len_indptr = 2 · bf16
comparison keysha256:0a122333b371d7a2…
sourceFlashInfer-Bench
external idtrace/flashinfer_wrapper_463e16/7fbfc86d-961c-43dd-9589-fd06e9a35014
sha256:1db4b52027b67b1e670ddbc…

Correctness

comparatorflashinfer_bench_eval
max absolute error7.152557373046875e-7
max relative error0.000036768258723896
resultpassed

Workload

total_q1
total_kv1
len_indptr2
kbf16 [1, 16, 128]
qbf16 [1, 32, 128]
vbf16 [1, 16, 128]
kv_indptrint32 [2]
qo_indptrint32 [2]
definition comparatorsol_execbench_eval

Measurements

latency · mean10.2 µs

Protocol

harnessflashinfer-bench
timerharness_reported
primaryStatisticmean
correctnessReferencedefinition reference implementation
comparabilityFamilyflashinfer_bench_trace

Environment

gpuNVIDIA B200 (unknown)
cudaToolkit13.0
frameworkpytorch 2.11.0+cu130

Artifacts

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Canonical manifest

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{
  "run": {
    "kind": "BenchmarkRun",
    "spec": {
      "status": "passed",
      "timing": {
        "latencyNs": {
          "mean": 10240
        },
        "primaryStatistic": "mean"
      },
      "observedAt": "2026-04-09T04:33:36.112Z",
      "correctness": {
        "comparator": "sol_execbench_eval",
        "maximumAbsoluteError": 7.152557373046875e-7,
        "maximumRelativeError": 0.000036768258723896
      },
      "sourceNative": {
        "source": "flashinfer-bench",
        "metrics": {
          "latency_ms": 0.010239999741315842,
          "speedup_factor": 31.12500107623542,
          "reference_latency_ms": 0.318720002969106
        },
        "benchmark": "gqa_ragged_prefill_causal_h32_kv16_d128"
      },
      "protocolDigest": "sha256:7d44d206ad086b4bece35ce31f6531ebb11f07e0d9dcfb74c75be86d3ec02095",
      "workloadDigest": "sha256:3a796f75ac2077c8d2c433ade69b0c75a149fbaeb80e75d3a3514b3699881e70",
      "environmentDigest": "sha256:83c9b6e78d493927f18878d57448d9a0d2221a70840b562455b2665a2897ba19",
      "implementationDigest": "sha256:be0de3086aae8df9255c8a81763768e6cdf23bc0b4e3b1afa8f3fba3330b6e41"
    },
    "metadata": {
      "name": "sol-trace-gqa-ragged-prefill-causal-h32-kv16-d128-7fbfc86d",
      "title": "flashinfer_wrapper_463e16 · gqa_ragged_prefill_causal_h32_kv16_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": "2.11.0+cu130"
        },
        "libraries": {
          "triton": "3.6.0"
        },
        "cudaToolkit": "13.0"
      }
    },
    "metadata": {
      "name": "sol-trace-nvidia-b200-2-11-0-cu130-3-6-0-13-0",
      "title": "NVIDIA B200 (trace-reported software)"
    },
    "apiVersion": "kernelindex.dev/v1alpha1"
  }
}
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