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flashinfer / wrapper0b1670

GQA paged prefill causal h24 kv4 d128 ps1 · total_q = 1307 · num_pages = 2029 · len_indptr = 2 · num_kv_indices = 1307 · bf16 · run 01a00b1d-d4dc…
●passedReported evidence

Not re-observed recently.

Primary measurement
135.7µsmean

Rank 1 in its comparison group · source-native comparison · observed 2026-03-31

0.00× reference

Identity
implementationflashinfer_wrapper_0b1670
projectFlashInfer-Bench baselines
revisionda915083d4c7c5e61aa3005e3d17ae488e0fc71c
workloadtotal_q = 1307 · num_pages = 2029 · len_indptr = 2 · num_kv_indices = 1307 · bf16
comparison keysha256:1bee21960eea9e9c…
sourceFlashInfer-Bench
external idtrace/flashinfer_wrapper_0b1670/7cc4b2dc-3f81-4aab-9cce-131df1d27ab6
sha256:89160dbb4bb225cc20faf76…

Correctness

comparatorflashinfer_bench_eval
max absolute error0.015625
max relative error4844.2744140625
resultpassed

Workload

total_q1307
num_pages2029
len_indptr2
num_kv_indices1307
qbf16 [1307, 24, 128]
k_cachebf16 [2029, 1, 4, 128]
v_cachebf16 [2029, 1, 4, 128]
kv_indptrint32 [2]
qo_indptrint32 [2]
kv_indicesint32 [1307]
definition comparatorsol_execbench_eval

Measurements

latency · mean135.7 µs

Protocol

harnessflashinfer-bench
timerharness_reported
primaryStatisticmean
correctnessReferencedefinition reference implementation
comparabilityFamilyflashinfer_bench_trace

Environment

gpuNVIDIA B200 (unknown)
cudaToolkit12.8
frameworkpytorch 2.9.1+cu128

Artifacts

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Canonical manifest

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{
  "run": {
    "kind": "BenchmarkRun",
    "spec": {
      "status": "passed",
      "timing": {
        "latencyNs": {
          "mean": 135738
        },
        "primaryStatistic": "mean"
      },
      "observedAt": "2026-03-31T17:25:55.522Z",
      "correctness": {
        "comparator": "sol_execbench_eval",
        "maximumAbsoluteError": 0.015625,
        "maximumRelativeError": 4844.2744140625
      },
      "sourceNative": {
        "source": "flashinfer-bench",
        "metrics": {
          "latency_ms": 0.135738,
          "speedup_factor": 0,
          "reference_latency_ms": 0
        },
        "benchmark": "gqa_paged_prefill_causal_h24_kv4_d128_ps1"
      },
      "protocolDigest": "sha256:7d44d206ad086b4bece35ce31f6531ebb11f07e0d9dcfb74c75be86d3ec02095",
      "workloadDigest": "sha256:99dbdea9eeb181e472f0b39f7b87828b741ebc100daac4b1ceb2c89cec62f797",
      "environmentDigest": "sha256:af7cb68a0bb0eb9671092a620668c2600f0431301fc46a71807ea75fb7de8bce",
      "implementationDigest": "sha256:7cc46fcbc7bbab384471cc759f4d2767e140332bcc74a03f0844fa188c656652"
    },
    "metadata": {
      "name": "sol-trace-gqa-paged-prefill-causal-h24-kv4-d128-ps1-7cc4b2dc",
      "title": "flashinfer_wrapper_0b1670 · gqa_paged_prefill_causal_h24_kv4_d128_ps1"
    },
    "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": "2.9.1+cu128"
        },
        "libraries": {
          "triton": "3.5.1"
        },
        "cudaToolkit": "12.8"
      }
    },
    "metadata": {
      "name": "sol-trace-nvidia-b200-2-9-1-cu128-3-5-1-12-8",
      "title": "NVIDIA B200 (trace-reported software)"
    },
    "apiVersion": "kernelindex.dev/v1alpha1"
  }
}
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