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Concurrent Matrix Multiplication on Multi-core Processors
Muhammad Ali Ismail, S. H. Mirza, Talat Altaf
Pages - 208 - 220     |    Revised - 01-05-2011     |    Published - 31-05-2011
Volume - 5   Issue - 2    |    Publication Date - May / June 2011  Table of Contents
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KEYWORDS
Multi-Core Processors , Concurrent Programming, Parallel Programming, Matrix Multiplication
ABSTRACT
With the advent of multi-cores every processor has built-in parallel computational power and that can only be fully utilized only if the program in execution is written accordingly. This study is a part of an on-going research for designing of a new parallel programming model for multi-core architectures. In this paper we have presented a simple, highly efficient and scalable implementation of a common matrix multiplication algorithm using a newly developed parallel programming model SPC3 PM for general purpose multi-core processors. From our study it is found that matrix multiplication done concurrently on multi-cores using SPC3 PM requires much less execution time than that required using the present standard parallel programming environments like OpenMP. Our approach also shows scalability, better and uniform speedup and better utilization of available cores than that the algorithm written using standard OpenMP or similar parallel programming tools. We have tested our approach for up to 24 cores with different matrices size varying from 100 x 100 to 10000 x 10000 elements. And for all these tests our proposed approach has shown much improved performance and scalability
CITED BY (11)  
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7 Ismail, M. A., Altaf, T., & Mirza, S. H. Parallel Matrix Multiplication on Multi-Core Processors using SPC 3 PM.
8 Nimako, G., Otoo, E. J., & Ohene-Kwofie, D. (2012, October). Cache-sensitive MapReduce DGEMM algorithms for shared memory architectures. In Proceedings of the South African Institute for Computer Scientists and Information Technologists Conference (pp. 100-110). ACM.
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10 vardhan Dwivedi, H. (2011). Analysis and Implementation of Room Assignment Problem and Cannon's Algorithm on General Purpose Programmable Graphical Processing Units with CUDA. Analysis, 1, 1-2011.
11 Ismail, M. A., Mirza, S. H., & Altaf, T. (2011). A Parallel and Concurrent Implementation of Lin-Kernighan Heuristic (LKH-2) for Solving Traveling Salesman Problem for Multi-Core Processors using SPC 3 Programming Model. International Journal of Advanced Computer Science and Applications, USA, 2(6).
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Mr. Muhammad Ali Ismail
NED university of Engineering and technology - Pakistan
maismail@neduet.edu.pk
Dr. S. H. Mirza
Usman Institute of Technology - Pakistan
Dr. Talat Altaf
NED University of Engineering & Technology - Pakistan