Advances, Applications and Performance of the Global Arrays Shared Memory Programming Toolkit

Author:

Nieplocha Jarek1,Palmer Bruce,Tipparaju Vinod,Krishnan Manojkumar,Trease Harold2,Aprà Edoardo3

Affiliation:

1. COMPUTATIONAL SCIENCES AND MATHEMATICS DEPARTMENT, PACIFIC NORTHWEST NATIONAL LABORATORY, RICHLAND, WA 99352;

2. COMPUTATIONAL SCIENCES AND MATHEMATICS DEPARTMENT, PACIFIC NORTHWEST NATIONAL LABORATORY, RICHLAND, WA 99352

3. WILLIAM R. WILEY ENVIRONMENTAL MOLECULAR SCIENCES LABORATORY, PACIFIC NORTHWEST NATIONAL LABORATORY, RICHLAND, WA 99352

Abstract

This paper describes capabilities, evolution, performance, and applications of the Global Arrays (GA) toolkit. GA was created to provide application programmers with an inteface that allows them to distribute data while maintaining the type of global index space and programming syntax similar to that available when programming on a single processor. The goal of GA is to free the programmer from the low level management of communication and allow them to deal with their problems at the level at which they were originally formulated. At the same time, compatibility of GA with MPI enables the programmer to take advatage of the existing MPI software/libraries when available and appropriate. The variety of applications that have been implemented using Global Arrays attests to the attractiveness of using higher level abstractions to write parallel code.

Publisher

SAGE Publications

Subject

Hardware and Architecture,Theoretical Computer Science,Software

Cited by 211 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. NWChem: Recent and Ongoing Developments;Journal of Chemical Theory and Computation;2023-07-17

2. TAMM: Tensor algebra for many-body methods;The Journal of Chemical Physics;2023-07-10

3. An Empirical Study of High Performance Computing (HPC) Performance Bugs;2023 IEEE/ACM 20th International Conference on Mining Software Repositories (MSR);2023-05

4. Real-Time Equation-of-Motion Coupled-Cluster Cumulant Green’s Function Method: Heterogeneous Parallel Implementation Based on the Tensor Algebra for Many-Body Methods Infrastructure;Journal of Chemical Theory and Computation;2023-04-05

5. Towards Cross-Platform Portability of Coupled-Cluster Methods with Perturbative Triples using SYCL;2022 IEEE/ACM International Workshop on Performance, Portability and Productivity in HPC (P3HPC);2022-11

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