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gpt-5 / cudafd76fe

MLA paged prefill causal h16 ckv512 kpe64 ps1 · total_q = 6053 · num_pages = 989669 · len_indptr = 12 · num_kv_indices = 6091 · bf16 · run 01a02032-596a…
●passedReported evidence

Not re-observed recently.

Primary measurement
9.57msmean

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

Compare with #1 →

337.95× reference

Identity
implementationgpt-5_cuda_fd76fe
projectgpt-5-2025-08-07
revisionda915083d4c7c5e61aa3005e3d17ae488e0fc71c
workloadtotal_q = 6053 · num_pages = 989669 · len_indptr = 12 · num_kv_indices = 6091 · bf16
comparison keysha256:8794ee9b7b804f5f…
sourceFlashInfer-Bench
external idtrace/gpt-5_cuda_fd76fe/053a88a3-d024-4fbe-bc46-3f49d141de9f
sha256:307fdd3fa350338f72f1552…

Correctness

comparatorflashinfer_bench_eval
max absolute error0.015625
max relative error40.000099182128906
resultpassed

Workload

total_q6053
num_pages989669
len_indptr12
num_kv_indices6091
q_pebf16 [6053, 16, 64]
q_nopebf16 [6053, 16, 512]
ckv_cachebf16 [989669, 1, 512]
kpe_cachebf16 [989669, 1, 64]
kv_indptrint32 [12]
qo_indptrint32 [12]
kv_indicesint32 [6091]
definition comparatorsol_execbench_eval

Measurements

latency · mean9.57 ms

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": 9572512
        },
        "primaryStatistic": "mean"
      },
      "observedAt": "2025-10-16T11:21:51.331Z",
      "correctness": {
        "comparator": "sol_execbench_eval",
        "maximumAbsoluteError": 0.015625,
        "maximumRelativeError": 40.000099182128906
      },
      "sourceNative": {
        "source": "flashinfer-bench",
        "metrics": {
          "latency_ms": 9.572511990865072,
          "speedup_factor": 337.94535488711523,
          "reference_latency_ms": 3234.9859619140625
        },
        "benchmark": "mla_paged_prefill_causal_h16_ckv512_kpe64_ps1"
      },
      "protocolDigest": "sha256:7d44d206ad086b4bece35ce31f6531ebb11f07e0d9dcfb74c75be86d3ec02095",
      "workloadDigest": "sha256:a51b8cbf1ae3857257a3d684542e7f294b5ee2926748e7fd2125e23a7f9cc833",
      "environmentDigest": "sha256:f4292a8be127b7230cd3995c1d605fb6c644e2c2f94566e1d28cc1be766ca5d5",
      "implementationDigest": "sha256:28f7dd8c2d366e4c9dbbcf3ca979748c71ddba7e0dbfd17278c0993d062993db"
    },
    "metadata": {
      "name": "sol-trace-mla-paged-prefill-causal-h16-ckv512-kpe64-ps1-053a88a3",
      "title": "gpt-5_cuda_fd76fe · mla_paged_prefill_causal_h16_ckv512_kpe64_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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