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gpt-o3 / tritonc3c0cc

GQA paged decode h32 kv8 d128 ps1 · num_pages = 1069 · batch_size = 16 · len_indptr = 17 · num_kv_indices = 1034 · bf16 · run 01a02032-5c65…
●passedReported evidence

Not re-observed recently.

Primary measurement
30.6µsmean

Rank 2 in its comparison group · source-native comparison · observed 2025-10-16

Compare with #1 →

16812.01× reference

Identity
implementationgpt-o3_triton_c3c0cc
projectgpt-o3
revisionda915083d4c7c5e61aa3005e3d17ae488e0fc71c
workloadnum_pages = 1069 · batch_size = 16 · len_indptr = 17 · num_kv_indices = 1034 · bf16
comparison keysha256:555260adb6ce454d…
sourceFlashInfer-Bench
external idtrace/gpt-o3_triton_c3c0cc/f31598f9-8cf2-4ecb-85ba-a3e2bb7c8f0b
sha256:0becd464e3faea006d74dc2…

Correctness

comparatorflashinfer_bench_eval
max absolute error0.0009765625
max relative error0.007575756870210171
resultpassed

Workload

num_pages1069
batch_size16
len_indptr17
num_kv_indices1034
qbf16 [16, 32, 128]
k_cachebf16 [1069, 1, 8, 128]
v_cachebf16 [1069, 1, 8, 128]
kv_indptrint32 [17]
kv_indicesint32 [1034]
definition comparatorsol_execbench_eval

Measurements

latency · mean30.6 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": 30581
        },
        "primaryStatistic": "mean"
      },
      "observedAt": "2025-10-16T01:54:34.629Z",
      "correctness": {
        "comparator": "sol_execbench_eval",
        "maximumAbsoluteError": 0.0009765625,
        "maximumRelativeError": 0.007575756870210171
      },
      "sourceNative": {
        "source": "flashinfer-bench",
        "metrics": {
          "latency_ms": 0.03058128502870083,
          "speedup_factor": 16812.010457544984,
          "reference_latency_ms": 514.1328837076823
        },
        "benchmark": "gqa_paged_decode_h32_kv8_d128_ps1"
      },
      "protocolDigest": "sha256:7d44d206ad086b4bece35ce31f6531ebb11f07e0d9dcfb74c75be86d3ec02095",
      "workloadDigest": "sha256:4e7d5a20780c283b66635f32af9907690da2cf12841015311b3407b76f9545d9",
      "environmentDigest": "sha256:f4292a8be127b7230cd3995c1d605fb6c644e2c2f94566e1d28cc1be766ca5d5",
      "implementationDigest": "sha256:55702029eab3dc4e109a991973a4c7a8b689d1790d073c27b8e9a8ad1c7a22d9"
    },
    "metadata": {
      "name": "sol-trace-gqa-paged-decode-h32-kv8-d128-ps1-f31598f9",
      "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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