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submission 128138

HayatoFujihara · python · License unknown

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Vendorable · source mirrored · license unknownView source →

No package. Vendor the mirrored source: 16 lines, June 9 Researcher Reciprocity License v1.0.

submission.py
curl "https://kernelindex.com/api/v1/implementations/kernelbot-vectorsum-v2-128138?include=source"
interfacepython
Compatibility
measured onNVIDIA A100
declared hardwareNVIDIA A100
architecturessm_80
dtypesfp32

Benchmark evidence

1 measurement across 1 GPU, fastest first.

Operation / workload
Hardware
Latency
Rank
Observed
Vector sum reductionsuite of 6 cases
NVIDIA A100
152.0µs
#57 of 96
2025-12-07

Reported · How evidence levels are derived →

Source and license

sourceavailable
revision digestsha256:7cebabe10cbb8bc6a9766dc7052e1ce59a1777f7b57fb1b47e62bc81decdb449
license declaredunknown
license concludedunknown
authorsHayatoFujihara
imported2026-08-15

Kernel source

submission.py16 lines
import torch
from task import input_t, output_t

def custom_kernel(data: input_t) -> output_t:
    """
    Fastest candidate: single-shot reduction.
    - 全体を一発で float32 集約
    - 出力は float32 スカラー
    """
    input_tensor, _ = data

    # 一発で float32 集約
    result = torch.sum(input_tensor, dtype=torch.float32)

    return result

Source code from GPU Mode and the KernelBot dataset · June 9 Researcher Reciprocity License v1.0

Best evidence level for this revision: reported

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