多核架构下数据并行任务调度的遗传算法

Q4 Engineering

IPSJ Transactions on System LSI Design Methodology Pub Date : 2019-01-01 DOI:10.2197/ipsjtsldm.12.74

Yang Liu, Lin Meng, H. Tomiyama

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引用次数: 4

摘要

提出了一种用于多核数据并行任务调度的遗传算法。与传统的任务调度不同，这项工作允许单个任务以数据并行的方式在多个核心上运行。实验结果表明，该算法比现有算法更有效

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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A Genetic Algorithm for Scheduling of Data-parallel Tasks on Multicore Architectures

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

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来源期刊

IPSJ Transactions on System LSI Design Methodology Engineering-Electrical and Electronic Engineering

CiteScore

1.20

自引率

0.00%

发文量