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Performance Analysis of MPI (mpi4py) on Diskless Cluster Environment in Ubuntu

by Sayma Sultana Chowdhury, Marium-E-Jannat, Abu Awal Md. Shoeb
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 60 - Number 14
Year of Publication: 2012
Authors: Sayma Sultana Chowdhury, Marium-E-Jannat, Abu Awal Md. Shoeb
10.5120/9764-3701

Sayma Sultana Chowdhury, Marium-E-Jannat, Abu Awal Md. Shoeb . Performance Analysis of MPI (mpi4py) on Diskless Cluster Environment in Ubuntu. International Journal of Computer Applications. 60, 14 ( December 2012), 40-46. DOI=10.5120/9764-3701

@article{ 10.5120/9764-3701,
author = { Sayma Sultana Chowdhury, Marium-E-Jannat, Abu Awal Md. Shoeb },
title = { Performance Analysis of MPI (mpi4py) on Diskless Cluster Environment in Ubuntu },
journal = { International Journal of Computer Applications },
issue_date = { December 2012 },
volume = { 60 },
number = { 14 },
month = { December },
year = { 2012 },
issn = { 0975-8887 },
pages = { 40-46 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume60/number14/9764-3701/ },
doi = { 10.5120/9764-3701 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T21:06:49.232265+05:30
%A Sayma Sultana Chowdhury
%A Marium-E-Jannat
%A Abu Awal Md. Shoeb
%T Performance Analysis of MPI (mpi4py) on Diskless Cluster Environment in Ubuntu
%J International Journal of Computer Applications
%@ 0975-8887
%V 60
%N 14
%P 40-46
%D 2012
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Now-a-days Cluster computing has become a crying need for the processing of large scale data. For computing large amount of data, which need huge execution time, the run time can be reduced using multiple processors and task distribution through cluster computing. It is the technique of sharing two or more computers' resources through a network (usually through a local area network) in order to take advantage of the parallel processing power of those computers. Clusters of computers are usually deployed to improve processing speed and/or reliability and scalability over that provided by a single computer. In this paper we proposed a High Performance computing approach on Linux platform (Ubuntu) using Parallel Programming environment with the collaboration of multiple nodes for large scale computational work.

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Index Terms

Computer Science
Information Sciences

Keywords

MPI Cluster Diskless Cluster Ubuntu mpi4py performance analysis