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Dynamic Task Scheduling Methods in Heterogeneous Systems: A Survey

by D. I. George Amalarethinam, A. Maria Josphin
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 110 - Number 6
Year of Publication: 2015
Authors: D. I. George Amalarethinam, A. Maria Josphin
10.5120/19318-0859

D. I. George Amalarethinam, A. Maria Josphin . Dynamic Task Scheduling Methods in Heterogeneous Systems: A Survey. International Journal of Computer Applications. 110, 6 ( January 2015), 12-18. DOI=10.5120/19318-0859

@article{ 10.5120/19318-0859,
author = { D. I. George Amalarethinam, A. Maria Josphin },
title = { Dynamic Task Scheduling Methods in Heterogeneous Systems: A Survey },
journal = { International Journal of Computer Applications },
issue_date = { January 2015 },
volume = { 110 },
number = { 6 },
month = { January },
year = { 2015 },
issn = { 0975-8887 },
pages = { 12-18 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume110/number6/19318-0859/ },
doi = { 10.5120/19318-0859 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T22:45:37.010509+05:30
%A D. I. George Amalarethinam
%A A. Maria Josphin
%T Dynamic Task Scheduling Methods in Heterogeneous Systems: A Survey
%J International Journal of Computer Applications
%@ 0975-8887
%V 110
%N 6
%P 12-18
%D 2015
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Heterogeneous systems create unlimited opportunities and challenges in the fields of parallel processing, design of algorithms, and partitioning and mapping of parallel tasks. In mapping of parallel tasks, scheduling plays an important role. The scheduling decisions are based on the dynamic parameters that may change during run time. The goal of scheduling is to utilize all the processors with minimum execution time by proper allocation of tasks to the processors. Task scheduling achieves high performance in the heterogeneous systems. A Parallel application can be represented by a Directed Acyclic Graph (DAG), which represents the dependency among tasks, based on their execution time and communication time. Previous studies reveal that many researchers have designed efficient scheduling algorithms with different parameters on multiprocessor systems. This paper investigates different aspects in scheduling and issues in various levels of the heterogeneous systems.

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Index Terms

Computer Science
Information Sciences

Keywords

Heterogeneous System Dynamic Scheduling Directed Acyclic Graph (DAG) Homogenous System Static Scheduling

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