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New Row-grouped CSR format for storing the sparse matrices on GPU with implementation in CUDA

Authors :
Oberhuber, Tomáš
Suzuki, Atsushi
Vacata, Jan
Publication Year :
2010

Abstract

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.<br />Comment: 21 pages, 8 figures, 7 tables

Details

Database :
arXiv
Publication Type :
Report
Accession number :
edsarx.1012.2270
Document Type :
Working Paper