Conference paperPOLOK Lukáš, ILA Viorela S. and SMRŽ Pavel. Fast Sparse Matrix Multiplication on GPU. In: Proceedings of the 23rd High Performance Computing Symposium (HPC'15). Alexandria, Virginia: Association for Computing Machinery, 2015, pp. 18. ISBN 1565553551. Available from: http://dl.acm.org/citation.cfm?id=2872604  Publication language:  english 

Original title:  Fast Sparse Matrix Multiplication on GPU 

Title (cs):  Rychlé násobení řídkých matic na GPU 

Pages:  18 

Proceedings:  Proceedings of the 23rd High Performance Computing Symposium (HPC'15) 

Conference:  23rd High Performance Computing Symposium 

Place:  Alexandria, Virginia, US 

Year:  2015 

URL:  http://dl.acm.org/citation.cfm?id=2872604 

ISBN:  1565553551 

Publisher:  Association for Computing Machinery 

Files:  

 Keywords 

parallel sparse matrix multiplication, parallel linear algebra, matrixmatrix multiplication, GPGPU 
Annotation 

Sparse matrix multiplication is an important algorithm in a wide variety of problems, including graph algorithms, simulations and linear solving to name a few. Yet, there are but a few works related to acceleration of sparse matrix multiplication on a GPU. We present a fast, novel algorithm for sparse matrix multiplication, outperforming the previous algorithm on GPU up to 3x and CPU up to 30x. The principal improvements include more efficient load balancing strategy, and a faster sorting algorithm. The main contribution is design and implementation of efficient sparse matrix multiplication algorithm and extending it to sparse block matrices, which is to our best knowledge the first implementation of this kind. 
BibTeX: 

@INPROCEEDINGS{
author = {Luk{\'{a}}{\v{s}} Polok and S. Viorela Ila and
Pavel Smr{\v{z}}},
title = {Fast Sparse Matrix Multiplication on GPU},
pages = {18},
booktitle = {Proceedings of the 23rd High Performance Computing Symposium
(HPC'15)},
year = {2015},
location = {Alexandria, Virginia, US},
publisher = {Association for Computing Machinery},
ISBN = {1565553551},
language = {english},
url = {http://www.fit.vutbr.cz/research/view_pub.php?id=10835}
} 
