基于紧耦合加速器架构的GPU集群强伸缩改进

T. Hanawa, H. Fujii, N. Fujita, Tetsuya Odajima, Kazuya Matsumoto, Yuetsu Kodama, T. Boku
{"title":"基于紧耦合加速器架构的GPU集群强伸缩改进","authors":"T. Hanawa, H. Fujii, N. Fujita, Tetsuya Odajima, Kazuya Matsumoto, Yuetsu Kodama, T. Boku","doi":"10.1109/CLUSTER.2015.154","DOIUrl":null,"url":null,"abstract":"The Tightly Coupled Accelerators (TCA) architecture that we proposed in previous work enables direct communication between accelerators over nodes. In this paper, we present a proof-of-concept GPU cluster called the HA-PACS/TCA using the PEACH2 chip that we designed as an interconnection router chip based on the TCA architecture. Our system demonstrated 2.0 ?sec of latency on inter-node GPU-to-GPU communication with a PCIe Gen2 x8 by RDMA, reducing minimum latency to just 44% of the InfiniBand-QDR and MPI using GPUDirect for RDMA. Through results of Himeno benchmark tests, we demonstrated that our TCA architecture improved performance scalability with the small-sized problem by up to 61%.","PeriodicalId":187042,"journal":{"name":"2015 IEEE International Conference on Cluster Computing","volume":"17 2 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2015-09-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Improving Strong-Scaling on GPU Cluster Based on Tightly Coupled Accelerators Architecture\",\"authors\":\"T. Hanawa, H. Fujii, N. Fujita, Tetsuya Odajima, Kazuya Matsumoto, Yuetsu Kodama, T. Boku\",\"doi\":\"10.1109/CLUSTER.2015.154\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The Tightly Coupled Accelerators (TCA) architecture that we proposed in previous work enables direct communication between accelerators over nodes. In this paper, we present a proof-of-concept GPU cluster called the HA-PACS/TCA using the PEACH2 chip that we designed as an interconnection router chip based on the TCA architecture. Our system demonstrated 2.0 ?sec of latency on inter-node GPU-to-GPU communication with a PCIe Gen2 x8 by RDMA, reducing minimum latency to just 44% of the InfiniBand-QDR and MPI using GPUDirect for RDMA. Through results of Himeno benchmark tests, we demonstrated that our TCA architecture improved performance scalability with the small-sized problem by up to 61%.\",\"PeriodicalId\":187042,\"journal\":{\"name\":\"2015 IEEE International Conference on Cluster Computing\",\"volume\":\"17 2 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2015-09-08\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2015 IEEE International Conference on Cluster Computing\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/CLUSTER.2015.154\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2015 IEEE International Conference on Cluster Computing","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CLUSTER.2015.154","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

摘要

我们在之前的工作中提出的紧耦合加速器(TCA)架构使节点上的加速器之间能够直接通信。在本文中,我们提出了一个名为HA-PACS/TCA的概念验证GPU集群,使用我们设计的基于TCA架构的互连路由器芯片PEACH2芯片。我们的系统显示,通过RDMA使用PCIe Gen2 x8进行节点间gpu到gpu通信的延迟为2.0秒,将最小延迟降低到仅为使用GPUDirect进行RDMA的InfiniBand-QDR和MPI的44%。通过Himeno基准测试的结果,我们证明了我们的TCA架构将小型问题的性能可伸缩性提高了61%。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Improving Strong-Scaling on GPU Cluster Based on Tightly Coupled Accelerators Architecture
The Tightly Coupled Accelerators (TCA) architecture that we proposed in previous work enables direct communication between accelerators over nodes. In this paper, we present a proof-of-concept GPU cluster called the HA-PACS/TCA using the PEACH2 chip that we designed as an interconnection router chip based on the TCA architecture. Our system demonstrated 2.0 ?sec of latency on inter-node GPU-to-GPU communication with a PCIe Gen2 x8 by RDMA, reducing minimum latency to just 44% of the InfiniBand-QDR and MPI using GPUDirect for RDMA. Through results of Himeno benchmark tests, we demonstrated that our TCA architecture improved performance scalability with the small-sized problem by up to 61%.
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
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:604180095
Book学术官方微信