2010/12/10 by Tomáš Oberhuber, Oberhuber, Tomáš, Atsushi Suzuki +3
Computer Science · #D.1.3 #Distributed #FOS: Computer and information sciences #Parallel #and Cluster Computing (cs.DC) #cs.DC
paper · pdf · doi:10.48550/arxiv.1012.2270
21 pages, 8 figures, 7 tables
arxiv created 2010/12/10 · arxiv updated 2010/12/13
In this article we present a new format for storing sparse matrices. The format is designed to perform well mainly on the GPU devices. We present its implementation in CUDA. The performance has been tested on 1,600 different types of matrices and we compare our format with the Hybrid format. We give detailed comparison of both formats and show their strong and weak parts.