Run 01a00b1e · KernelIndex

Primary measurement

10.3µsmean

Rank 2 in its comparison group · source-native comparison · observed 2026-04-06

Compare with #1 →

31.84× reference

Identity

implementationflashinfer_wrapper_d90b98

projectFlashInfer-Bench baselines

revisionda915083d4c7c5e61aa3005e3d17ae488e0fc71c

workloadtotal_q = 1 · total_kv = 1 · len_indptr = 2 · bf16

comparison keysha256:d0b11af388890ee6…

sourceFlashInfer-Bench

external idtrace/flashinfer_wrapper_d90b98/00d96236-f1cb-4d34-85ed-de88a511581d

sha256:e9ca836b6a1c4dbb46d1677…

Correctness

comparatorflashinfer_bench_eval

max absolute error9.5367431640625e-7

max relative error0.000010134877811651677

resultpassed

Workload

total_q1

total_kv1

len_indptr2

kbf16 [1, 16, 192]

qbf16 [1, 16, 192]

vbf16 [1, 16, 128]

kv_indptrint32 [2]

qo_indptrint32 [2]

definition comparatorsol_execbench_eval

Measurements

latency · mean10.3 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

logssha256:78e7078cb6b34029… · text/plain · unavailable

Replications and notes

No attestations yet.

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": 10283
        },
        "primaryStatistic": "mean"
      },
      "evidence": {
        "logs": {
          "uri": "kernelindex:artifact/sha256:78e7078cb6b34029b3c54573e2621a41c5953e9f5f65b6f20a4330ab56eda92e",
          "digest": "sha256:78e7078cb6b34029b3c54573e2621a41c5953e9f5f65b6f20a4330ab56eda92e"
        }
      },
      "observedAt": "2026-04-06T16:24:03.969Z",
      "correctness": {
        "comparator": "sol_execbench_eval",
        "maximumAbsoluteError": 9.5367431640625e-7,
        "maximumRelativeError": 0.000010134877811651677
      },
      "sourceNative": {
        "source": "flashinfer-bench",
        "metrics": {
          "latency_ms": 0.01028266673286756,
          "speedup_factor": 31.83661810110912,
          "reference_latency_ms": 0.32736533383528393
        },
        "benchmark": "mla_ragged_prefill_causal_h16_qk192_vo128"
      },
      "protocolDigest": "sha256:7d44d206ad086b4bece35ce31f6531ebb11f07e0d9dcfb74c75be86d3ec02095",
      "workloadDigest": "sha256:899e10c81322f1a5e9bbb987c6ee1f074975223385de4e9645bf81ae750f97df",
      "environmentDigest": "sha256:83c9b6e78d493927f18878d57448d9a0d2221a70840b562455b2665a2897ba19",
      "implementationDigest": "sha256:7ea424535a43467c4a56a0f6102017255639162cb40f5002e92454310a911b5f"
    },
    "metadata": {
      "name": "sol-trace-mla-ragged-prefill-causal-h16-qk192-vo128-00d96236",
      "title": "flashinfer_wrapper_d90b98 · mla_ragged_prefill_causal_h16_qk192_vo128"
    },
    "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 MLA ragged prefill causal h16 qk192 vo128 →JSON

flashinfer / wrapperd90b98