A near lower-bound complexity algorithm for compile-time task-scheduling in heterogeneous computing systems

骈文研究 Pub Date : 2004-07-05 DOI:10.1109/ISPDC.2004.3
Tarek Hagras, J. Janecek
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引用次数: 19

Abstract

Task scheduling is in general an NP-complete problem. For this reason a huge number of heuristics have been presented in the literature to obtain near optimal schedules. These heuristics mainly target homogeneous computing systems, while a few of them target heterogeneous systems. The heterogeneous heuristics presented so far target computing machines with different capabilities, while almost none of them handle heterogeneous communication systems. This paper presents a novel task scheduling algorithm called the heterogeneous critical tasks reverse duplicator (HCTRD), which targets both heterogeneous computation and communication systems. The algorithm is based on list-scheduling and task-duplication in a bounded number of machines, and aims to achieve high performance and near lower bound complexity.
异构计算系统中编译时任务调度的近下界复杂度算法
任务调度通常是一个np完全问题。由于这个原因,文献中提出了大量的启发式方法来获得接近最优的调度。这些启发式算法主要针对同构计算系统,少数针对异构系统。目前提出的异构启发式算法针对的是具有不同能力的计算机器,但几乎没有一种方法能够处理异构通信系统。针对异构计算系统和通信系统,提出了一种新的任务调度算法——异构关键任务反向复制器。该算法基于有限数量机器上的列表调度和任务复制,以实现高性能和接近下界的复杂度为目标。
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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