Enabling Global MPI Process Addressing in MPI Applications

Jean-Baptiste Besnard, S. Shende, A. Malony, Julien Jaeger, Marc Pérache
{"title":"Enabling Global MPI Process Addressing in MPI Applications","authors":"Jean-Baptiste Besnard, S. Shende, A. Malony, Julien Jaeger, Marc Pérache","doi":"10.1145/3555819.3555829","DOIUrl":null,"url":null,"abstract":"Distributed software using MPI is now facing a complexity barrier. Indeed, given increasing intra-node parallelism, combined with the use of accelerator, programs’ states are becoming more intricate. A given code must cover several cases, generating work for multiple devices. Model mixing generally leads to increasingly large programs and hinders performance portability. In this paper, we pose the question of software composition, trying to split jobs in multiple services. In doing so, we advocate it would be possible to depend on more suitable units while removing the need for extensive runtime stacking (MPI+X+Y). For this purpose, we discuss what MPI shall provide and what is currently available to enable such software composition. After pinpointing (1) process discovery and (2) Remote Procedure Calls (RPCs) as facilitators in such infrastructure, we focus solely on the first aspect. We introduce an overlay-network providing whole-machine inter-job, discovery, and wiring at the level of the MPI runtime. MPI process Unique IDentifiers (UIDs) are then covered as a Unique Resource Locator (URL) leveraged as support for job interaction in MPI, enabling a more horizontal usage of the MPI interface. Eventually, we present performance results for large-scale wiring-up exchanges, demonstrating gains over PMIx in cross-job configurations.","PeriodicalId":423846,"journal":{"name":"Proceedings of the 29th European MPI Users' Group Meeting","volume":"28 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-09-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the 29th European MPI Users' Group Meeting","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/3555819.3555829","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

Abstract

Distributed software using MPI is now facing a complexity barrier. Indeed, given increasing intra-node parallelism, combined with the use of accelerator, programs’ states are becoming more intricate. A given code must cover several cases, generating work for multiple devices. Model mixing generally leads to increasingly large programs and hinders performance portability. In this paper, we pose the question of software composition, trying to split jobs in multiple services. In doing so, we advocate it would be possible to depend on more suitable units while removing the need for extensive runtime stacking (MPI+X+Y). For this purpose, we discuss what MPI shall provide and what is currently available to enable such software composition. After pinpointing (1) process discovery and (2) Remote Procedure Calls (RPCs) as facilitators in such infrastructure, we focus solely on the first aspect. We introduce an overlay-network providing whole-machine inter-job, discovery, and wiring at the level of the MPI runtime. MPI process Unique IDentifiers (UIDs) are then covered as a Unique Resource Locator (URL) leveraged as support for job interaction in MPI, enabling a more horizontal usage of the MPI interface. Eventually, we present performance results for large-scale wiring-up exchanges, demonstrating gains over PMIx in cross-job configurations.
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
在MPI应用程序中启用全局MPI进程寻址
使用MPI的分布式软件目前面临着复杂性的障碍。事实上,随着节点内并行性的增加,再加上加速器的使用,程序的状态变得越来越复杂。给定的代码必须涵盖几种情况,为多个设备生成工作。模型混合通常会导致越来越大的程序,并阻碍性能可移植性。在本文中,我们提出了软件组合的问题,试图在多个服务中拆分作业。在这样做的过程中,我们主张有可能依赖于更合适的单元,同时消除了大量运行时堆叠(MPI+X+Y)的需要。为此,我们将讨论MPI将提供什么,以及目前可以使用什么来实现这种软件组合。在明确指出(1)进程发现和(2)远程过程调用(rpc)是这种基础设施中的促进器之后,我们只关注第一个方面。我们介绍了一个覆盖网络,在MPI运行时级别提供了整机间的作业、发现和连接。然后将MPI进程唯一标识符(uid)作为唯一资源定位符(URL)覆盖,以支持MPI中的作业交互,从而实现MPI接口的更横向使用。最后,我们展示了大规模连接交换的性能结果,展示了在跨作业配置中优于PMIx的性能。
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 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
Distributed Acceleration of Adhesive Dynamics Simulations Applying on Node Aggregation Methods to MPI Alltoall Collectives: Matrix Block Aggregation Algorithm Efficient Process Arrival Pattern Aware Collective Communication for Deep Learning Enabling Global MPI Process Addressing in MPI Applications Towards a Hybrid MPI Correctness Benchmark Suite
×
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
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 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 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1