Run 01a00b1e · KernelIndex

Primary measurement

81.9µsmean

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

201.56× reference

Identity

implementationflashinfer_wrapper_463e16

projectFlashInfer-Bench baselines

revisionda915083d4c7c5e61aa3005e3d17ae488e0fc71c

workloadtotal_q = 4682 · total_kv = 4682 · len_indptr = 64 · bf16

comparison keysha256:d77cc4cc2c5b0fd1…

sourceFlashInfer-Bench

external idtrace/flashinfer_wrapper_463e16/9de04329-0ff2-4162-aa2f-71761fa71167

sha256:fccf7022a322f5044e4a0cb…

Correctness

comparatorflashinfer_bench_eval

max absolute error0.015625

max relative error16705.810546875

resultpassed

Workload

total_q4682

total_kv4682

len_indptr64

kbf16 [4682, 16, 128]

qbf16 [4682, 32, 128]

vbf16 [4682, 16, 128]

kv_indptrint32 [64]

qo_indptrint32 [64]

definition comparatorsol_execbench_eval

Measurements

latency · mean81.9 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

No artifacts published with this run.

Replications and notes

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Community attestations. They never change the evidence level; only a KernelIndex-controlled rerun does.

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Canonical manifest

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{
  "run": {
    "kind": "BenchmarkRun",
    "spec": {
      "status": "passed",
      "timing": {
        "latencyNs": {
          "mean": 81947
        },
        "primaryStatistic": "mean"
      },
      "observedAt": "2026-04-09T04:33:41.976Z",
      "correctness": {
        "comparator": "sol_execbench_eval",
        "maximumAbsoluteError": 0.015625,
        "maximumRelativeError": 16705.810546875
      },
      "sourceNative": {
        "source": "flashinfer-bench",
        "metrics": {
          "latency_ms": 0.08194666480024655,
          "speedup_factor": 201.5629700074574,
          "reference_latency_ms": 16.51741313934326
        },
        "benchmark": "gqa_ragged_prefill_causal_h32_kv16_d128"
      },
      "protocolDigest": "sha256:7d44d206ad086b4bece35ce31f6531ebb11f07e0d9dcfb74c75be86d3ec02095",
      "workloadDigest": "sha256:b076b0ae223f35f2f4fed6fc0c195ed9f69271e7a736974c10cdf45d5c9bb361",
      "environmentDigest": "sha256:83c9b6e78d493927f18878d57448d9a0d2221a70840b562455b2665a2897ba19",
      "implementationDigest": "sha256:be0de3086aae8df9255c8a81763768e6cdf23bc0b4e3b1afa8f3fba3330b6e41"
    },
    "metadata": {
      "name": "sol-trace-gqa-ragged-prefill-causal-h32-kv16-d128-9de04329",
      "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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Published 2026-08-16 · FlashInfer-Bench · Apache-2.0All results for GQA ragged prefill causal h32 kv16 d128 →JSON

flashinfer / wrapper463e16