IPSJ Transactions on System LSI Design Methodology
Online ISSN : 1882-6687
ISSN-L : 1882-6687
A Genetic Algorithm for Scheduling of Data-parallel Tasks on Multicore Architectures
Yang LiuLin MengHiroyuki Tomiyama
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JOURNALS FREE ACCESS

2019 Volume 12 Pages 74-77

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Abstract

This paper proposes a genetic algorithm for scheduling of multiple data-parallel tasks on multicores. Unlike traditional task scheduling, this work allows individual tasks to run on multiple cores in a data-parallel fashion. Experimental results show the effectiveness of the proposed algorithm over state-of-the-art algorithms.

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© 2019 by the Information Processing Society of Japan
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