Title :
Implementing Basic Computational Kernels of Linear Algebra on Multicore
Author :
Michailidis, Panagiotis D. ; Margaritis, Konstantinos G.
Author_Institution :
Dept. of Balkan Studies, Univ. of Western Macedonia, Florina, Greece
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.
Keywords :
application program interfaces; linear algebra; mathematics computing; matrix multiplication; multiprocessing programs; parallel programming; FastFlow; Gaussian elimination; Intel ArBB; Intel Cilk++; Intel TBB; OpenMP; Pthreads; SMPS; SWARM; basic computational kernel implementation; linear algebra; matrix-vector product; multicore platforms; parallel computation; parallel programming tools; scientific computing kernels; Kernel; Libraries; Multicore processing; Parallel programming; Program processors; Vectors; Linear Algebra; Multi-core Programming; Parallel Processing;
Conference_Titel :
Informatics (PCI), 2012 16th Panhellenic Conference on
Conference_Location :
Piraeus
Print_ISBN :
978-1-4673-2720-6
DOI :
10.1109/PCi.2012.23
