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rtferraz/cupy-int8-matmul

CuPy int8 matmul Performance Investigation Target issue: cupy/cupy#6611 — "CuPy int8 matmul takes much longer time than float32" Status: ✅ SCIENTIFICALLY VALIDATED — Ready to post to issue #6611Hardware: NVIDIA L4 (sm_89, Ada Lovelace)CuPy version: 14.0.1CUDA version: 12.x (via cupy-cuda12x) Validation Results Run python scientific_validation.py to reproduce: Check Result Evidence cp.dot(int8, int8) segfaults ✅ CONFIRMED Return code -11 (SIGSEGV) in… See the full description on the dataset page: https://huggingface.co/datasets/rtferraz/cupy-int8-matmul.

Author / organizationrtferraz
License (as declared)apache-2.0
Downloads562 (as reported by Hugging Face)
Likes0
Created7 May 2026
Last updated at source7 May 2026
cupycudaint8gemmmatmulperformanceopen-sourcesegfault
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