Run 01a03529 · KernelIndex

Primary measurement

16.6µsmean

Rank 16 in its comparison group · source-native comparison · observed 2026-04-22

Compare with #1 →

SOL 0.7686 · 4.33× reference · 14/16 cases faster

Identity

implementationAmir M. Mir | SF Tensor

projectAmir M. Mir | SF Tensor

revisionsubmission-1495

workloadsuite of 16 cases · mean latency

comparison keysha256:e650657a1f2502fe…

sourceNVIDIA SOL-ExecBench

external idsubmission/1495

sha256:ea6d6b731126721060ba5e0…

Correctness

Marked passed by the source; the correctness policy was not published.

Workload

definition comparatorsol_execbench_eval

descriptionCorrectness must pass on every case in the SOL evaluation stack.

Measurements

latency · mean16.6 µs

Protocol

harnessSOL-ExecBench evaluation stack v1.0

timerharness_reported

primaryStatisticmean

correctnessReferencedefinition reference implementation

comparabilityFamilysol_execbench_leaderboard

Environment

gpuNVIDIA B200 (sm_100)

Artifacts

No artifacts published with this run.

Replications and notes

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Canonical manifest

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{
  "run": {
    "kind": "BenchmarkRun",
    "spec": {
      "status": "passed",
      "timing": {
        "latencyNs": {
          "mean": 16619
        },
        "primaryStatistic": "mean"
      },
      "observedAt": "2026-04-22T22:46:00.615Z",
      "sourceNative": {
        "source": "sol-execbench",
        "metrics": {
          "sol_score": 0.768625,
          "latency_ms": 0.016619,
          "avg_speedup": 4.328,
          "fast_1_count": 14,
          "fast_1_total": 16
        },
        "benchmark": "014_rotary_embedding_with_attention_scaling_backward",
        "externalId": "1495"
      },
      "protocolDigest": "sha256:2964c5c4ed9cb0dcdc0f74674035bc71bf5e66620939e38441060f76434ed3e5",
      "workloadDigest": "sha256:8a4c5f7e6bbeb379ad3d600823d62286ff4804e162c586db6119170a664918cf",
      "environmentDigest": "sha256:5296c820e166474e590abb1beaf7728cdfe0a4bde9bf55f8966a40f4f5401621",
      "implementationDigest": "sha256:431fe29266aa192f43278ad49f1b3c6bd9cc0bfc661c576a6b5f8a813ca3c3a6"
    },
    "metadata": {
      "name": "sol-submission-1495",
      "title": "Amir M. Mir | SF Tensor · 014_rotary_embedding_with_attention_scaling_backward · B200",
      "labels": {
        "worker": "B200-ext-prod-1549"
      }
    },
    "apiVersion": "kernelindex.dev/v1alpha1"
  },
  "protocol": {
    "kind": "BenchmarkProtocol",
    "spec": {
      "harness": {
        "name": "SOL-ExecBench evaluation stack",
        "version": "v1.0"
      },
      "correctness": {
        "reference": "definition reference implementation",
        "comparator": "sol_execbench_eval"
      },
      "measurement": {
        "timer": "harness_reported",
        "primaryStatistic": "mean"
      },
      "comparability": {
        "notes": "Suite-mean latency and SOL-Score as published by the SOL-ExecBench leaderboard. Comparable only within one definition, GPU type, and evaluation stack version.",
        "family": "sol_execbench_leaderboard"
      }
    },
    "metadata": {
      "name": "sol-execbench-leaderboard-v1-0",
      "title": "SOL-ExecBench evaluation stack v1.0"
    },
    "apiVersion": "kernelindex.dev/v1alpha1"
  },
  "environment": {
    "kind": "ExecutionEnvironment",
    "spec": {
      "hardware": {
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        "architecture": "sm_100"
      },
      "software": {
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          "evaluation_stack": "v1.0"
        }
      }
    },
    "metadata": {
      "name": "sol-execbench-b200-v1-0",
      "title": "SOL-ExecBench NVIDIA B200, stack v1.0"
    },
    "apiVersion": "kernelindex.dev/v1alpha1"
  }
}

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Published 2026-08-24 · NVIDIA SOL-ExecBenchAll results for Rotary embedding with attention scaling backward →JSON