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An Approach for Multi-Core Real Time Parallel Processing

by Shyamal G. Mundada, M. B. Chandak
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 65 - Number 5
Year of Publication: 2013
Authors: Shyamal G. Mundada, M. B. Chandak
10.5120/10923-5863

Shyamal G. Mundada, M. B. Chandak . An Approach for Multi-Core Real Time Parallel Processing. International Journal of Computer Applications. 65, 5 ( March 2013), 39-43. DOI=10.5120/10923-5863

@article{ 10.5120/10923-5863,
author = { Shyamal G. Mundada, M. B. Chandak },
title = { An Approach for Multi-Core Real Time Parallel Processing },
journal = { International Journal of Computer Applications },
issue_date = { March 2013 },
volume = { 65 },
number = { 5 },
month = { March },
year = { 2013 },
issn = { 0975-8887 },
pages = { 39-43 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume65/number5/10923-5863/ },
doi = { 10.5120/10923-5863 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T21:17:55.361572+05:30
%A Shyamal G. Mundada
%A M. B. Chandak
%T An Approach for Multi-Core Real Time Parallel Processing
%J International Journal of Computer Applications
%@ 0975-8887
%V 65
%N 5
%P 39-43
%D 2013
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Multi-core architectures, which have multiple processing units on a single chip, are widely used as a way to achieve higher processor performance. They have potential to deliver increased performance over single-core processors. Multi-core processors have become mainstream in processor design. In multiprocessing, only inter task parallelism can be achieved. But, computation-intensive real-time systems must exploit intra-task parallelism to take full advantage of multi-core processing. In this paper, the problem of scheduling periodic parallel tasks with implicit deadlines on multi-core processors is addressed. A task decomposition method that decomposes each parallel task into a set of sequential tasks is discussed. In this paper, a general model for deterministic parallel tasks, where a task is represented as a DAG with different nodes having different execution requirements is discussed. First, a DAG generation method for the tasks is discussed and secondly, task decomposition that splits a DAG into sequential tasks is discussed.

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Index Terms

Computer Science
Information Sciences

Keywords

Multi-core Processing Real Time Scheduling Directed Acyclic Graph

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