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gpt-o3 / tritonc3c0cc

GQA paged decode h32 kv8 d128 ps1 · num_pages = 1556 · batch_size = 16 · len_indptr = 17 · num_kv_indices = 1529 · bf16 · run 01a02032-5c66…
●passedReported evidence

Not re-observed recently.

Primary measurement
30.8µsmean

Rank 4 in its comparison group · source-native comparison · observed 2025-10-16

Compare with #1 →

16193.40× reference

Identity
implementationgpt-o3_triton_c3c0cc
projectgpt-o3
revisionda915083d4c7c5e61aa3005e3d17ae488e0fc71c
workloadnum_pages = 1556 · batch_size = 16 · len_indptr = 17 · num_kv_indices = 1529 · bf16
comparison keysha256:62487506fdad3369…
sourceFlashInfer-Bench
external idtrace/gpt-o3_triton_c3c0cc/ebe29c4a-2bbc-49df-88ea-02426250269e
sha256:5310c325a01eeac3db6f228…

Correctness

comparatorflashinfer_bench_eval
max absolute error0.001953125
max relative error0.02559611015021801
resultpassed

Workload

num_pages1556
batch_size16
len_indptr17
num_kv_indices1529
qbf16 [16, 32, 128]
k_cachebf16 [1556, 1, 8, 128]
v_cachebf16 [1556, 1, 8, 128]
kv_indptrint32 [17]
kv_indicesint32 [1529]
definition comparatorsol_execbench_eval

Measurements

latency · mean30.8 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": 30826
        },
        "primaryStatistic": "mean"
      },
      "observedAt": "2025-10-16T01:57:09.741Z",
      "correctness": {
        "comparator": "sol_execbench_eval",
        "maximumAbsoluteError": 0.001953125,
        "maximumRelativeError": 0.02559611015021801
      },
      "sourceNative": {
        "source": "flashinfer-bench",
        "metrics": {
          "latency_ms": 0.030825875010346466,
          "speedup_factor": 16193.403164470099,
          "reference_latency_ms": 499.1758219401042
        },
        "benchmark": "gqa_paged_decode_h32_kv8_d128_ps1"
      },
      "protocolDigest": "sha256:7d44d206ad086b4bece35ce31f6531ebb11f07e0d9dcfb74c75be86d3ec02095",
      "workloadDigest": "sha256:493ef205ca4f90ea2e5e6af7199bda5345f67ec8c974c3592a1df4323d435e3c",
      "environmentDigest": "sha256:f4292a8be127b7230cd3995c1d605fb6c644e2c2f94566e1d28cc1be766ca5d5",
      "implementationDigest": "sha256:55702029eab3dc4e109a991973a4c7a8b689d1790d073c27b8e9a8ad1c7a22d9"
    },
    "metadata": {
      "name": "sol-trace-gqa-paged-decode-h32-kv8-d128-ps1-ebe29c4a",
      "title": "gpt-o3_triton_c3c0cc · gqa_paged_decode_h32_kv8_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": "2.8.0+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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