Optimizing matrix multiplication for a short-vector SIMD architecture – CELL processor Jakub Kurzaka,*, Wesley Alvaroa, Jack Dongarraa,b,c,d a Department of Electrical Engineering and Computer Science, University of Tennessee, United States bComputer Science and Mathematics Division, Oak Ridge National Laboratory, United States cSchool of Mathematics, University of …

Jack Dongarra received a Bachelor of Science in Mathematics from Chicago State University in 1972 and a Master of Science in Computer Science from the Illinois Institute of Technology in 1973. He received his Ph.D. in Applied Mathematics from the University of New Mexico in 1980. He worked at the Argonne National Laboratory until 1989, becoming a Senior Scientist.

01/11/2020 · Matrix multiplication is an embarrassingly parallel operation with a relatively high operational intensity. ... Jack Dongarra received a Bachelor of Science in Mathematics from Chicago State University in 1972 and a Master of Science in Computer Science from the Illinois Institute of Technology in 1973. He received his Ph.D. in Applied ...

Jack Dongarra University of Tennessee, USA Oak Ridge National Laboratory, USA University of Manchester, UK dongarra@icl.utk.edu Abstract—Matrix multiplication (GEMM) is the most impor-tant operation in dense linear algebra. Because it is a compute-bound operation that is rich in data reuse, many applications

Generic matrix multiplication for multi-GPU accelerated distributed-memory platforms over parsec Thomas Herault*, Yves Robert *†, George Bosilca , Jack Dongarra*‡ Project-Team ROMA Research Report n° 9289 — September 2019 — 22 pages Abstract: This report introduces a generic and flexible matrix-matrix multiplication algorithm

High-performance matrix-matrix multiplications of very small matrices I. Masliah2, A. Abdelfattah 1, A. Haidar , S. Tomov , M. Baboulin2, J. Falcou2, and J. Dongarra1;3 1 Innovative Computing Laboratory, University of Tennessee, Knoxville, TN, USA 2 University of Paris-Sud, France 3 University of Manchester, Manchester, UK Abstract. The use of the general dense matrix …

28/05/2001 · Jack J. Dongarra, Jeremy Du Croz, Sven Hammarling, and Iain Duff. A set of level 3 basic linear algebra subprograms. ACM Trans. Math. Soft. , 16(1):1-17, March 1990. Google Scholar; John Gunnels, Calvin Lin, Greg Morrow, and Robert van de Geijn. A flexible class of parallel matrix multiplication algorithms.

Jack Dongarra Machine learning and artificial intelligence (AI) applications often rely on performing many small matrix operations—in particular general …