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LINPACK: Power- Performance Analysis of Multi-Core Processors using OpenMP

by Vijayalakshmi Saravanan, Mohan Radhakrishnan, Mukund Sankaran, D. P. Kothari
journal cover thumbnail

International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 43 - Number 1
Year of Publication: 2012
Authors: Vijayalakshmi Saravanan, Mohan Radhakrishnan, Mukund Sankaran, D. P. Kothari
10.5120/6068-8224

Vijayalakshmi Saravanan, Mohan Radhakrishnan, Mukund Sankaran, D. P. Kothari . LINPACK: Power- Performance Analysis of Multi-Core Processors using OpenMP. International Journal of Computer Applications. 43, 1 ( April 2012), 20-25. DOI=10.5120/6068-8224

@article{ 10.5120/6068-8224,
author = { Vijayalakshmi Saravanan, Mohan Radhakrishnan, Mukund Sankaran, D. P. Kothari },
title = { LINPACK: Power- Performance Analysis of Multi-Core Processors using OpenMP },
journal = { International Journal of Computer Applications },
issue_date = { April 2012 },
volume = { 43 },
number = { 1 },
month = { April },
year = { 2012 },
issn = { 0975-8887 },
pages = { 20-25 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume43/number1/6068-8224/ },
doi = { 10.5120/6068-8224 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T20:32:15.719330+05:30
%A Vijayalakshmi Saravanan
%A Mohan Radhakrishnan
%A Mukund Sankaran
%A D. P. Kothari
%T LINPACK: Power- Performance Analysis of Multi-Core Processors using OpenMP
%J International Journal of Computer Applications
%@ 0975-8887
%V 43
%N 1
%P 20-25
%D 2012
%I Foundation of Computer Science (FCS), NY, USA
Abstract

With the advent of multi-core technology, scientific and high performance computing research is becoming increasingly dependent upon efficient parallel programming techniques. LINPACK is a mathematical software package which used for solving linear equations. The purpose of this paper is to compare the sequential and parallel implementations of LINPACK and analyze the results concurrently with energy consumption. A major emphasis is given here to find an efficient parallel programming method on multi-core processors for performance and power gains based on the obtained execution time. We discuss the techniques and algorithms involved in achieving high performance by reducing execution time through OpenMP parallelization on multi-core. The results of multi-core performance are found to be encouraging.

References
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Index Terms

Computer Science
Information Sciences

Keywords

Multi-core Openmp Linpack Performance-power Sequential And Parallel Equations

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