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submission 545192

rajesh0042 · python · License unknown

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Vendorable · source mirrored · license unknownView source →

No package. Vendor the mirrored source: 13 lines, June 9 Researcher Reciprocity License v1.0.

prefixsum_v2.py
curl "https://kernelindex.com/api/v1/implementations/kernelbot-prefixsum-v2-545192?include=source"
interfacepython
Compatibility
measured onNVIDIA B200
declared hardwareNVIDIA B200
architecturessm_100
dtypesfp32

Benchmark evidence

1 measurement across 1 GPU, fastest first.

Operation / workload
Hardware
Latency
Rank
Observed
Inclusive prefix sumsuite of 11 cases
NVIDIA B200
722.1µs
#15 of 23
2026-03-13

Reported · How evidence levels are derived →

Source and license

sourceavailable
revision digestsha256:495a1d6ce51476d1b6ebe24487c79a30ec3f4609d90c8e18c358b6fb805393a6
license declaredunknown
license concludedunknown
authorsrajesh0042
imported2026-08-15

Kernel source

prefixsum_v2.py13 lines
import os
os.environ["CUBLAS_WORKSPACE_CONFIG"] = ":4096:8"

import torch
from task import input_t, output_t

def custom_kernel(data: input_t) -> output_t:
    data, output = data
    # torch.cumsum is already very optimized
    # Use contiguous data and out= parameter
    torch.cumsum(data, dim=0, out=output)
    return output

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

Changes from previous submission

Against this author's previous submission submission 545075.

⋯ 5 unchanged lines
def custom_kernel(data: input_t) -> output_t:
data, output = data
+ # torch.cumsum is already very optimized
+ # Use contiguous data and out= parameter
torch.cumsum(data, dim=0, out=output)
return output

Best evidence level for this revision: reported

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