Callisto: co-scheduling parallel runtime systems

T. Harris, Martin Maas, Virendra J. Marathe
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引用次数: 63

Abstract

It is increasingly important for parallel applications to run together on the same machine. However, current performance is often poor: programs do not adapt well to dynamically varying numbers of cores, and the CPU time received by concurrent jobs can differ drastically. This paper introduces Callisto, a resource management layer for parallel runtime systems. We describe Callisto and the implementation of two Callisto-enabled runtime systems---one for OpenMP, and another for a task-parallel programming model. We show how Callisto eliminates almost all of the scheduler-related interference between concurrent jobs, while still allowing jobs to claim otherwise-idle cores. We use examples from two recent graph analytics projects and from SPEC OMP.
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Callisto:协同调度并行运行时系统
并行应用程序在同一台机器上一起运行变得越来越重要。但是,当前的性能通常很差:程序不能很好地适应动态变化的内核数量,并发作业接收的CPU时间可能相差很大。本文介绍了并行运行时系统的资源管理层——Callisto。我们描述了Callisto和两个支持Callisto的运行时系统的实现——一个用于OpenMP,另一个用于任务并行编程模型。我们将展示Callisto如何消除并发作业之间几乎所有与调度器相关的干扰,同时仍然允许作业占用空闲的内核。我们使用的例子来自最近的两个图形分析项目和SPEC OMP。
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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