9 citations · 11 across the 4 of their papers we have counts for
3 papers · 1 filter
GEMMFIP: Unifying GEMM in BLIS
RuQing G. Xu, Field G. Van Zee, Robert A. van de Geijn
Matrix libraries often focus on achieving high performance for problems considered to be either "small" or "large", as these two scenarios tend to respond best to different optimiz…
Generating Families of Practical Fast Matrix Multiplication Algorithms
Jianyu Huang, Leslie Rice, Devin A. Matthews +1
Matrix multiplication (GEMM) is a core operation to numerous scientific applications. Traditional implementations of Strassen-like fast matrix multiplication (FMM) algorithms often…
BLISlab: A Sandbox for Optimizing GEMM
Jianyu Huang, Robert A. van de Geijn
Matrix-matrix multiplication is a fundamental operation of great importance to scientific computing and, increasingly, machine learning. It is a simple enough concept to be introdu…