ILP-based scheduling for malleable fork-join tasks

Kaname Shimada, Ittetsu Taniguchi, H. Tomiyama
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引用次数: 4

Abstract

This paper studies scheduling of malleable fork-join tasks. In our scheduling problem, each task can be partitioned into multiple sub-tasks, and the sub-tasks are scheduled independently. The optimal number of sub-tasks is determined during scheduling simultaneously. This paper formulates the scheduling problem as an integer linear programming problem.
基于ilp的可延性fork-join任务调度
本文研究了可塑fork-join任务的调度问题。在我们的调度问题中,每个任务可以被划分为多个子任务,子任务是独立调度的。同时在调度过程中确定子任务的最优数量。本文将调度问题表述为一个整数线性规划问题。
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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