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gpt-5_triton_f88811

GQA paged decode h32 kv4 d128 ps1 · num_pages = 9317 · batch_size = 1 · len_indptr = 2 · num_kv_indices = 72 · bf16 · run 01a02032-578c…
●passedReported evidence

Not re-observed recently.

Primary measurement
67.8µsmean

Rank 3 in its comparison group · source-native comparison · observed 2025-10-16

Compare with #1 →

453.70× reference

Identity
implementationgpt-5_triton_f88811
projectgpt-5-2025-08-07
revisionda915083d4c7c5e61aa3005e3d17ae488e0fc71c
workloadnum_pages = 9317 · batch_size = 1 · len_indptr = 2 · num_kv_indices = 72 · bf16
comparison keysha256:c9b21fab7bebdbb3…
sourceFlashInfer-Bench
external idtrace/gpt-5_triton_f88811/092f2c35-bc7c-4500-8d8b-bbab6db5faa4
sha256:723c18e8a4bd2ba131ccf14…

Correctness

comparatorflashinfer_bench_eval
max absolute error0.000003814697265625
max relative error0.006756636779755354
resultpassed

Workload

num_pages9317
batch_size1
len_indptr2
num_kv_indices72
qbf16 [1, 32, 128]
k_cachebf16 [9317, 1, 4, 128]
v_cachebf16 [9317, 1, 4, 128]
kv_indptrint32 [2]
kv_indicesint32 [72]
definition comparatorsol_execbench_eval

Measurements

latency · mean67.8 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

Show manifest
{
  "run": {
    "kind": "BenchmarkRun",
    "spec": {
      "status": "passed",
      "timing": {
        "latencyNs": {
          "mean": 67823
        },
        "primaryStatistic": "mean"
      },
      "observedAt": "2025-10-16T01:28:00.566Z",
      "correctness": {
        "comparator": "sol_execbench_eval",
        "maximumAbsoluteError": 0.000003814697265625,
        "maximumRelativeError": 0.006756636779755354
      },
      "sourceNative": {
        "source": "flashinfer-bench",
        "metrics": {
          "latency_ms": 0.06782260420779153,
          "speedup_factor": 453.6999826059498,
          "reference_latency_ms": 30.771114349365234
        },
        "benchmark": "gqa_paged_decode_h32_kv4_d128_ps1"
      },
      "protocolDigest": "sha256:7d44d206ad086b4bece35ce31f6531ebb11f07e0d9dcfb74c75be86d3ec02095",
      "workloadDigest": "sha256:fd4ff296c507840971270ecc8a64e59dc791a48c120686689be6d9a931234b76",
      "environmentDigest": "sha256:f4292a8be127b7230cd3995c1d605fb6c644e2c2f94566e1d28cc1be766ca5d5",
      "implementationDigest": "sha256:09a3a02d28d801076ad976133b410f793223f2428100276618e716be6d2567ac"
    },
    "metadata": {
      "name": "sol-trace-gqa-paged-decode-h32-kv4-d128-ps1-092f2c35",
      "title": "gpt-5_triton_f88811 · gqa_paged_decode_h32_kv4_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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