6 citations · 6 across the 2 of their papers we have counts for
2 papers
cs.DC2022
IAAT: A Input-Aware Adaptive Tuning framework for Small GEMM
Jianyu Yao, Boqian Shi, Chunyang Xiang +4
GEMM with the small size of input matrices is becoming widely used in many fields like HPC and machine learning. Although many famous BLAS libraries already supported small GEMM, t…
cs.DC2022★ 6 cited
AutoTSMM: An Auto-tuning Framework for Building High-Performance Tall-and-Skinny Matrix-Matrix Multiplication on CPUs
Chendi Li, Haipeng Jia, Hang Cao +6
In recent years, general matrix-matrix multiplication with non-regular-shaped input matrices has been widely used in many applications like deep learning and has drawn more and mor…