Les riches heures de l'ordonnancement

D. Trystram
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引用次数: 2

Abstract

Parallelizing means executing simultaneously multiple operations. The efficient management of the assignment of tasks on available computing resources is a challenging problem. Whatever the considered execution support, this problem is crucial at any level from basic instructions, library components to full applications. Moreover, it can be studied from various points of view (users, system administrators). Scheduling is the main part for efficient resource management. It consists in determining where and when to execute the tasks while optimizing one or several objectives under hardware constraints. This is an old problem which arised with the first vector machines in the early seventies. Today, it is still a challenging problem since many new constraints should be considered. The purpose of this paper is to review the main constraints and to show how to take them into account in the scheduling policies. We defend a position of well-founded approaches for designing scheduling algorithms that allow to obtain guaranteed performances at a reasonable cost.
丰富的日程安排时间
并行化意味着同时执行多个操作。有效地管理可用计算资源上的任务分配是一个具有挑战性的问题。无论考虑的执行支持是什么,这个问题在从基本指令、库组件到完整应用程序的任何级别上都是至关重要的。此外,它可以从不同的角度(用户、系统管理员)进行研究。调度是实现高效资源管理的重要组成部分。它包括确定何时何地执行任务,同时在硬件约束下优化一个或多个目标。这是一个老问题,在70年代早期第一批向量机出现时就出现了。今天,这仍然是一个具有挑战性的问题,因为需要考虑许多新的限制条件。本文的目的是回顾主要的约束条件,并说明如何在调度策略中考虑它们。我们为设计调度算法的良好基础方法辩护,这些算法允许以合理的成本获得保证的性能。
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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