高保真耦合仿真的Exascale框架(EFFIS):实现融合科学中的整个设备建模

IF 2.5 3区 计算机科学 Q2 COMPUTER SCIENCE, HARDWARE & ARCHITECTURE
E. Suchyta, S. Klasky, N. Podhorszki, M. Wolf, Abolaji D. Adesoji, Choong-Seock Chang, J. Choi, Philip E. Davis, J. Dominski, S. Ethier, I. Foster, K. Germaschewski, Berk Geveci, Chris Harris, K. Huck, Qing Liu, Jeremy S. Logan, Kshitij Mehta, G. Merlo, S. Moore, T. Munson, M. Parashar, D. Pugmire, M. Shephard, Cameron W. Smith, P. Subedi, Lipeng Wan, Ruonan Wang, Shuangxi Zhang
{"title":"高保真耦合仿真的Exascale框架(EFFIS):实现融合科学中的整个设备建模","authors":"E. Suchyta, S. Klasky, N. Podhorszki, M. Wolf, Abolaji D. Adesoji, Choong-Seock Chang, J. Choi, Philip E. Davis, J. Dominski, S. Ethier, I. Foster, K. Germaschewski, Berk Geveci, Chris Harris, K. Huck, Qing Liu, Jeremy S. Logan, Kshitij Mehta, G. Merlo, S. Moore, T. Munson, M. Parashar, D. Pugmire, M. Shephard, Cameron W. Smith, P. Subedi, Lipeng Wan, Ruonan Wang, Shuangxi Zhang","doi":"10.1177/10943420211019119","DOIUrl":null,"url":null,"abstract":"We present the Exascale Framework for High Fidelity coupled Simulations (EFFIS), a workflow and code coupling framework developed as part of the Whole Device Modeling Application (WDMApp) in the Exascale Computing Project. EFFIS consists of a library, command line utilities, and a collection of run-time daemons. Together, these software products enable users to easily compose and execute workflows that include: strong or weak coupling, in situ (or offline) analysis/visualization/monitoring, command-and-control actions, remote dashboard integration, and more. We describe WDMApp physics coupling cases and computer science requirements that motivate the design of the EFFIS framework. Furthermore, we explain the essential enabling technology that EFFIS leverages: ADIOS for performant data movement, PerfStubs/TAU for performance monitoring, and an advanced COUPLER for transforming coupling data from its native format to the representation needed by another application. Finally, we demonstrate EFFIS using coupled multi-simulation WDMApp workflows and exemplify how the framework supports the project’s needs. We show that EFFIS and its associated services for data movement, visualization, and performance collection does not introduce appreciable overhead to the WDMApp workflow and that the resource-dominant application’s idle time while waiting for data is minimal.","PeriodicalId":54957,"journal":{"name":"International Journal of High Performance Computing Applications","volume":"36 1","pages":"106 - 128"},"PeriodicalIF":2.5000,"publicationDate":"2021-05-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1177/10943420211019119","citationCount":"10","resultStr":"{\"title\":\"The Exascale Framework for High Fidelity coupled Simulations (EFFIS): Enabling whole device modeling in fusion science\",\"authors\":\"E. Suchyta, S. Klasky, N. Podhorszki, M. Wolf, Abolaji D. Adesoji, Choong-Seock Chang, J. Choi, Philip E. Davis, J. Dominski, S. Ethier, I. Foster, K. Germaschewski, Berk Geveci, Chris Harris, K. Huck, Qing Liu, Jeremy S. Logan, Kshitij Mehta, G. Merlo, S. Moore, T. Munson, M. Parashar, D. Pugmire, M. Shephard, Cameron W. Smith, P. Subedi, Lipeng Wan, Ruonan Wang, Shuangxi Zhang\",\"doi\":\"10.1177/10943420211019119\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"We present the Exascale Framework for High Fidelity coupled Simulations (EFFIS), a workflow and code coupling framework developed as part of the Whole Device Modeling Application (WDMApp) in the Exascale Computing Project. EFFIS consists of a library, command line utilities, and a collection of run-time daemons. Together, these software products enable users to easily compose and execute workflows that include: strong or weak coupling, in situ (or offline) analysis/visualization/monitoring, command-and-control actions, remote dashboard integration, and more. We describe WDMApp physics coupling cases and computer science requirements that motivate the design of the EFFIS framework. Furthermore, we explain the essential enabling technology that EFFIS leverages: ADIOS for performant data movement, PerfStubs/TAU for performance monitoring, and an advanced COUPLER for transforming coupling data from its native format to the representation needed by another application. Finally, we demonstrate EFFIS using coupled multi-simulation WDMApp workflows and exemplify how the framework supports the project’s needs. We show that EFFIS and its associated services for data movement, visualization, and performance collection does not introduce appreciable overhead to the WDMApp workflow and that the resource-dominant application’s idle time while waiting for data is minimal.\",\"PeriodicalId\":54957,\"journal\":{\"name\":\"International Journal of High Performance Computing Applications\",\"volume\":\"36 1\",\"pages\":\"106 - 128\"},\"PeriodicalIF\":2.5000,\"publicationDate\":\"2021-05-24\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://sci-hub-pdf.com/10.1177/10943420211019119\",\"citationCount\":\"10\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"International Journal of High Performance Computing Applications\",\"FirstCategoryId\":\"94\",\"ListUrlMain\":\"https://doi.org/10.1177/10943420211019119\",\"RegionNum\":3,\"RegionCategory\":\"计算机科学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"COMPUTER SCIENCE, HARDWARE & ARCHITECTURE\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Journal of High Performance Computing Applications","FirstCategoryId":"94","ListUrlMain":"https://doi.org/10.1177/10943420211019119","RegionNum":3,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"COMPUTER SCIENCE, HARDWARE & ARCHITECTURE","Score":null,"Total":0}
引用次数: 10

摘要

我们介绍了用于高保真耦合仿真的Exascale框架(EFFIS),这是一个作为Exascale计算项目中的整个设备建模应用程序(WDMApp)的一部分开发的工作流和代码耦合框架。EFFIS由一个库、命令行实用程序和一组运行时守护程序组成。这些软件产品使用户能够轻松地组成和执行工作流,其中包括:强耦合或弱耦合、现场(或离线)分析/可视化/监控、命令和控制操作、远程仪表板集成等。我们描述了WDMApp物理耦合案例和计算机科学需求,这些案例和需求激励了EFFIS框架的设计。此外,我们还解释了EFFIS利用的基本启用技术:用于性能数据移动的ADIOS、用于性能监控的PerfStubs/TAU,以及用于将耦合数据从其原生格式转换为另一个应用程序所需的表示形式的高级耦合器。最后,我们使用耦合的多仿真WDMApp工作流演示了EFFIS,并举例说明了该框架如何支持项目的需求。我们表明,EFFIS及其用于数据移动、可视化和性能收集的相关服务不会给WDMApp工作流带来可观的开销,并且资源占主导地位的应用程序在等待数据时的空闲时间最小。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
The Exascale Framework for High Fidelity coupled Simulations (EFFIS): Enabling whole device modeling in fusion science
We present the Exascale Framework for High Fidelity coupled Simulations (EFFIS), a workflow and code coupling framework developed as part of the Whole Device Modeling Application (WDMApp) in the Exascale Computing Project. EFFIS consists of a library, command line utilities, and a collection of run-time daemons. Together, these software products enable users to easily compose and execute workflows that include: strong or weak coupling, in situ (or offline) analysis/visualization/monitoring, command-and-control actions, remote dashboard integration, and more. We describe WDMApp physics coupling cases and computer science requirements that motivate the design of the EFFIS framework. Furthermore, we explain the essential enabling technology that EFFIS leverages: ADIOS for performant data movement, PerfStubs/TAU for performance monitoring, and an advanced COUPLER for transforming coupling data from its native format to the representation needed by another application. Finally, we demonstrate EFFIS using coupled multi-simulation WDMApp workflows and exemplify how the framework supports the project’s needs. We show that EFFIS and its associated services for data movement, visualization, and performance collection does not introduce appreciable overhead to the WDMApp workflow and that the resource-dominant application’s idle time while waiting for data is minimal.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
International Journal of High Performance Computing Applications
International Journal of High Performance Computing Applications 工程技术-计算机:跨学科应用
CiteScore
6.10
自引率
6.50%
发文量
32
审稿时长
>12 weeks
期刊介绍: With ever increasing pressure for health services in all countries to meet rising demands, improve their quality and efficiency, and to be more accountable; the need for rigorous research and policy analysis has never been greater. The Journal of Health Services Research & Policy presents the latest scientific research, insightful overviews and reflections on underlying issues, and innovative, thought provoking contributions from leading academics and policy-makers. It provides ideas and hope for solving dilemmas that confront all countries.
×
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:604180095
Book学术官方微信