Datasetpublicgated

LaelaZorana/kernel-grader-mi300x-rocm-trainium-nki

Grading a kernel on an MI300X, and two agents that skipped it entirely I put 67,108,864 skewed keys into 4096 bins on an AMD Instinct MI300X VF, gfx942, under ROCm 7.2.4. One global atomic per key takes 86.3898 ms. Privatising the table into local data share per block, with one merge at the end, takes 0.1015 ms. That is 851.13 times, measured on the same card in the same run. Two cheating agents then scored full marks against my own grader. What ran Measured time Score… See the full description on the dataset page: https://huggingface.co/datasets/LaelaZorana/kernel-grader-mi300x-rocm-trainium-nki.

sourceHugging Faceotherupdated 9d agoView on Hugging Face

0likes31downloads

root

dirdashboard/

dirdataset/

dirgyms/

dirkernel-nki/

dirkernel-rocm/

dirreports/

file.gitattributes2 KBdownload

file.gitignore752 Bdownload

fileapp.py4 KBdownload

filebuild_dataset.py3 KBdownload

fileLICENSE3 KBdownload

fileNOTICE2 KBdownload

fileREADME.md8 KBdownload

fileREPORT_SCHEMA.md2 KBdownload

filerequirements.txt655 Bdownload

filetests_source_matches_repo.py2 KBdownload

LaelaZorana/kernel-grader-mi300x-rocm-trainium-nki · main · files are served by the source, never re-hosted here

This repository is gated. The listing is public, but downloading a file means accepting the publisher’s terms at Hugging Face first — the links above take you there rather than around it.