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gpt-o3 / triton25db20

GQA ragged prefill causal h32 kv8 d128 · total_q = 1 · total_kv = 1 · len_indptr = 2 · bf16 · run 01a02032-5e38…
●passedReported evidence

Not re-observed recently.

Primary measurement
95.2µsmean

Rank 8 in its comparison group · source-native comparison · observed 2025-10-19

Compare with #1 →

35.96× reference

Identity
implementationgpt-o3_triton_25db20
projectgpt-o3
revisionda915083d4c7c5e61aa3005e3d17ae488e0fc71c
workloadtotal_q = 1 · total_kv = 1 · len_indptr = 2 · bf16
comparison keysha256:546ae20b2a13187e…
sourceFlashInfer-Bench
external idtrace/gpt-o3_triton_25db20/3a919718-bdfb-4030-8771-7e2cca27ada7
sha256:5ff44b7e50408f001defd70…

Correctness

comparatorflashinfer_bench_eval
max absolute error4.76837158203125e-7
max relative error6.328413633127639e-7
resultpassed

Workload

total_q1
total_kv1
len_indptr2
kbf16 [1, 8, 128]
qbf16 [1, 32, 128]
vbf16 [1, 8, 128]
kv_indptrint32 [2]
qo_indptrint32 [2]
definition comparatorsol_execbench_eval

Measurements

latency · mean95.2 µs

Protocol

harnessflashinfer-bench
timerharness_reported
primaryStatisticmean
correctnessReferencedefinition reference implementation
comparabilityFamilyflashinfer_bench_trace

Environment

gpuNVIDIA B200 (unknown)
cudaToolkit12.8
frameworkpytorch 2.8.0+cu128

Artifacts

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Canonical manifest

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{
  "run": {
    "kind": "BenchmarkRun",
    "spec": {
      "status": "passed",
      "timing": {
        "latencyNs": {
          "mean": 95223
        },
        "primaryStatistic": "mean"
      },
      "observedAt": "2025-10-19T22:59:20.355Z",
      "correctness": {
        "comparator": "sol_execbench_eval",
        "maximumAbsoluteError": 4.76837158203125e-7,
        "maximumRelativeError": 6.328413633127639e-7
      },
      "sourceNative": {
        "source": "flashinfer-bench",
        "metrics": {
          "latency_ms": 0.09522347543212217,
          "speedup_factor": 35.95864084178878,
          "reference_latency_ms": 3.424106752770579
        },
        "benchmark": "gqa_ragged_prefill_causal_h32_kv8_d128"
      },
      "protocolDigest": "sha256:7d44d206ad086b4bece35ce31f6531ebb11f07e0d9dcfb74c75be86d3ec02095",
      "workloadDigest": "sha256:162cf67de579e39ed2b8adb65e67a8065bdcbfbe2a1e7ecd331063d5376a8618",
      "environmentDigest": "sha256:f4292a8be127b7230cd3995c1d605fb6c644e2c2f94566e1d28cc1be766ca5d5",
      "implementationDigest": "sha256:ff9215c61d71f0e0d14eff780af2c632149307e0fdfd3d2668689d759e121cff"
    },
    "metadata": {
      "name": "sol-trace-gqa-ragged-prefill-causal-h32-kv8-d128-3a919718",
      "title": "gpt-o3_triton_25db20 · gqa_ragged_prefill_causal_h32_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 B200",
        "architecture": "unknown"
      },
      "software": {
        "framework": {
          "name": "pytorch",
          "version": "2.8.0+cu128"
        },
        "libraries": {
          "triton": "3.4.0"
        },
        "cudaToolkit": "12.8"
      }
    },
    "metadata": {
      "name": "sol-trace-nvidia-b200-2-8-0-cu128-3-4-0-12-8",
      "title": "NVIDIA B200 (trace-reported software)"
    },
    "apiVersion": "kernelindex.dev/v1alpha1"
  }
}
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