Controlling Application Grain Size on a Network of Workstations

B. Siegell, P. Steenkiste
{"title":"Controlling Application Grain Size on a Network of Workstations","authors":"B. Siegell, P. Steenkiste","doi":"10.1145/224170.224497","DOIUrl":null,"url":null,"abstract":"An important challenge in the area of distributed computing is to automate the selection of the parameters that control the distributed computation. A performance-critical parameter is the grain size of the computation, i.e., the interval between successive synchronization points in the application. This parameter is hard to select since it depends both on compile time (loop structure and data dependences, computational complexity) and run time components (speed of compute nodes and network). On networks of workstations that are shared with other users, the run-time parameters can change over time. As a result, it is also necessary to consider the interactions with dynamic load balancing, which is needed to achieve good performance in this environment. In this paper we present a method for automatically selecting the grain size of the computation consisting of nested DO loops. The method is based on close cooperation between the compiler and the runtime system. We evaluate the method using both simulation and measurements for an implementation on the Nectar multicomputer.","PeriodicalId":269909,"journal":{"name":"Proceedings of the IEEE/ACM SC95 Conference","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1995-12-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"7","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the IEEE/ACM SC95 Conference","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/224170.224497","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 7

Abstract

An important challenge in the area of distributed computing is to automate the selection of the parameters that control the distributed computation. A performance-critical parameter is the grain size of the computation, i.e., the interval between successive synchronization points in the application. This parameter is hard to select since it depends both on compile time (loop structure and data dependences, computational complexity) and run time components (speed of compute nodes and network). On networks of workstations that are shared with other users, the run-time parameters can change over time. As a result, it is also necessary to consider the interactions with dynamic load balancing, which is needed to achieve good performance in this environment. In this paper we present a method for automatically selecting the grain size of the computation consisting of nested DO loops. The method is based on close cooperation between the compiler and the runtime system. We evaluate the method using both simulation and measurements for an implementation on the Nectar multicomputer.
在工作站网络上控制应用程序粒度
分布式计算领域的一个重要挑战是如何自动选择控制分布式计算的参数。性能关键参数是计算的粒度,即应用程序中连续同步点之间的间隔。这个参数很难选择,因为它既取决于编译时(循环结构和数据依赖性、计算复杂性),也取决于运行时组件(计算节点和网络的速度)。在与其他用户共享的工作站网络上,运行时参数可以随时间变化。因此,还需要考虑与动态负载平衡的交互,这是在此环境中实现良好性能所必需的。本文提出了一种由嵌套DO循环组成的计算粒度自动选择的方法。该方法基于编译器和运行时系统之间的密切合作。我们使用仿真和测量来评估该方法在Nectar多计算机上的实现。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信