Revisiting OpenMP Auto-Scoping Rules

Author:

Dimakopoulos Vassilios V.1ORCID,Mourelis Agelos2

Affiliation:

1. Department of Computer Science and Engineering, University of Ioannina, P. O. Box 1186, Ioannina, GR-45110, Greece

2. BETA CAE Systems SA, Kato Scholari, Thessaloniki, GR-57500 Epanomi, Greece

Abstract

Auto-scoping in OpenMP has been proposed as a means for relieving the programmer from the non-trivial effort of identifying the data sharing attributes of variables used within code regions that produce concurrency, such as parallel and task constructs. In this work we reconsider autoscoping on parallel constructs, including combined parallel-worksharing constructs. We first show that the current implementations do not always scope variables correctly in the presence of nested parallel constructs. We then proceed to extend the set of rules that guide the autoscoping decisions so as to handle nested constructs successfully. We also discuss how this functionality is implemented in the OMPi source-to-source OpenMP compiler.

Publisher

World Scientific Pub Co Pte Ltd

Subject

Hardware and Architecture,Theoretical Computer Science,Software

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3