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Reseach Article

Genetic Algorithm based Approach for SOC Test Scheduling

Published on September 2015 by Mary Catherine, Jagadeesh Kumar P
International Conference on Emerging Trends in Technology and Applied Sciences
Foundation of Computer Science USA
ICETTAS2015 - Number 3
September 2015
Authors: Mary Catherine, Jagadeesh Kumar P
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Mary Catherine, Jagadeesh Kumar P . Genetic Algorithm based Approach for SOC Test Scheduling. International Conference on Emerging Trends in Technology and Applied Sciences. ICETTAS2015, 3 (September 2015), 12-15.

@article{
author = { Mary Catherine, Jagadeesh Kumar P },
title = { Genetic Algorithm based Approach for SOC Test Scheduling },
journal = { International Conference on Emerging Trends in Technology and Applied Sciences },
issue_date = { September 2015 },
volume = { ICETTAS2015 },
number = { 3 },
month = { September },
year = { 2015 },
issn = 0975-8887,
pages = { 12-15 },
numpages = 4,
url = { /proceedings/icettas2015/number3/22388-2589/ },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Proceeding Article
%1 International Conference on Emerging Trends in Technology and Applied Sciences
%A Mary Catherine
%A Jagadeesh Kumar P
%T Genetic Algorithm based Approach for SOC Test Scheduling
%J International Conference on Emerging Trends in Technology and Applied Sciences
%@ 0975-8887
%V ICETTAS2015
%N 3
%P 12-15
%D 2015
%I International Journal of Computer Applications
Abstract

In a Core based SoC design various Intellectual Property (IP) cores are integrated on a single chip called System on chip(SoC). The testing of this SoC is complex, resulting in a long test application time. But the testing time cannot be too long as the relevant cost will increase rapidly. The testing time can be minimized if an effective scheduling of the tests is done. This paper presents a test scheduling scheme for a core based SoC. The SoC test scheduling is an NP complete problem and hence this paper presents Genetic algorithm based test scheduling scheme for a core based SoC so as to minimize the testing time incorporating the power dissipation constraints. Genetic algorithm generate solutions to the scheduling problem using techniques inspired by natural evolution. The optimal solution obtained by running genetic algorithm is applied to the ITC'02 SoC test Benchmarks and provides minimum test time results.

References
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Index Terms

Computer Science
Information Sciences

Keywords

Core Based Soc Test Scheduling Test Application Time Soc Test Benchmarks.