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Reseach Article

Study of Various Partitioning Policies of Multiprocessor Systems

Published on May 2013 by Harpreet Kaur, Sukhpreet Kaur
National Conference on Structuring Innovation Through Quality SITQ 2013
Foundation of Computer Science USA
SITQ - Number 1
May 2013
Authors: Harpreet Kaur, Sukhpreet Kaur
2fd31be6-43b8-4c05-bb7d-46c934535b76

Harpreet Kaur, Sukhpreet Kaur . Study of Various Partitioning Policies of Multiprocessor Systems. National Conference on Structuring Innovation Through Quality SITQ 2013. SITQ, 1 (May 2013), 36-38.

@article{
author = { Harpreet Kaur, Sukhpreet Kaur },
title = { Study of Various Partitioning Policies of Multiprocessor Systems },
journal = { National Conference on Structuring Innovation Through Quality SITQ 2013 },
issue_date = { May 2013 },
volume = { SITQ },
number = { 1 },
month = { May },
year = { 2013 },
issn = 0975-8887,
pages = { 36-38 },
numpages = 3,
url = { /proceedings/sitq/number1/12058-1314/ },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Proceeding Article
%1 National Conference on Structuring Innovation Through Quality SITQ 2013
%A Harpreet Kaur
%A Sukhpreet Kaur
%T Study of Various Partitioning Policies of Multiprocessor Systems
%J National Conference on Structuring Innovation Through Quality SITQ 2013
%@ 0975-8887
%V SITQ
%N 1
%P 36-38
%D 2013
%I International Journal of Computer Applications
Abstract

Many techniques of partitioning the processing elements have been developed since past few years to improve the performance of the system. A common approach is to divide the set of processing elements into independent partitions depending upon the job requirements. This can be done statically, dynamically or adaptively depending upon current requirements and workload characteristics of the particular job. This paper presents several partitioning policies, which are commonly used to partition the set of processing elements to improve the performance of the multiprocessor systems.

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Index Terms

Computer Science
Information Sciences

Keywords

Adaptive Partitioning Equipartitioning Multiprocessors Partitioning Policies Scheduling Performance