2012 16th Panhellenic Conference on Informatics (2012)

Piraeus, Greece Greece

Oct. 5, 2012 to Oct. 7, 2012

ISBN: 978-1-4673-2720-6

pp: 217-222

DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/PCi.2012.23

ABSTRACT

This paper implements basic computational kernels of the scientific computing such as matrix - vector product, matrix product and Gaussian elimination on multi-core platforms using several parallel programming tools. Specifically, these tools are Pthreads, OpenMP, Intel Cilk++, Intel TBB, Intel ArBB, SMPSs, SWARM and Fast Flow. The aim of this paper is to present an unified quantitative and qualitative study of these tools for parallel computation of scientific computing kernels on multicore. Finally, based on this study we conclude that the Intel ArBB and SWARM parallel programming tools are the most appropriate because these give good performance and simplicity of programming.

INDEX TERMS

Kernel, Vectors, Libraries, Parallel programming, Program processors, Multicore processing, Multi-core Programming, Parallel Processing, Linear Algebra

CITATION

Panagiotis D. Michailidis,
Konstantinos G. Margaritis,
"Implementing Basic Computational Kernels of Linear Algebra on Multicore",

*2012 16th Panhellenic Conference on Informatics*, vol. 00, no. , pp. 217-222, 2012, doi:10.1109/PCi.2012.23