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Author Kritikakou, Angeliki ♦ Catthoor, Francky ♦ Kelefouras, Vasilios ♦ Goutis, Costas
Source ACM Digital Library
Content type Text
Publisher Association for Computing Machinery (ACM)
File Format PDF
Copyright Year ©2013
Language English
Subject Domain (in DDC) Computer science, information & general works ♦ Data processing & computer science
Subject Keyword (near-)optimal techniques ♦ Classification ♦ Design time ♦ Systematic approach
Abstract The scheduling problem is an important partially solved topic related to a wide range of scientific fields. As it applies to design-time mapping on multiprocessing platforms emphasizing on ordering in time and assignment in place, significant improvements can be achieved. To support this improvement, this article presents a complete systematic classification of the existing scheduling techniques solving this problem in a (near-)optimal way. We show that the proposed approach covers any global scheduling technique, including also future ones. In our systematic classification a technique may belong to one primitive class or to a hybrid combination of such classes. In the latter case the technique is efficiently decomposed into more primitive components each one belonging to a specific class. The systematic classification assists in the in-depth understanding of the diverse classes of techniques which is essential for their further improvement. Their main characteristics and structure, their similarities and differences, and the interrelationships of the classes are conceived. In this way, our classification provides guidance for contributing in novel ways to the broad domain of global scheduling techniques.
ISSN 03600300
Age Range 18 to 22 years ♦ above 22 year
Educational Use Research
Education Level UG and PG
Learning Resource Type Article
Publisher Date 2013-03-12
Publisher Place New York
e-ISSN 15577341
Journal ACM Computing Surveys (CSUR)
Volume Number 45
Issue Number 2
Page Count 30
Starting Page 1
Ending Page 30

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Source: ACM Digital Library