HPSM:一个多cpu和多gpu系统的编程框架

J. F. Lima, D. D. Domenico
{"title":"HPSM:一个多cpu和多gpu系统的编程框架","authors":"J. F. Lima, D. D. Domenico","doi":"10.1109/SBAC-PADW.2017.14","DOIUrl":null,"url":null,"abstract":"This paper presents a high-level C++ framework to explore multi-CPU and multi-GPU systems called HPSM. HPSM enables parallel loops and reductions implemented over three parallel backends: Serial, OpenMP (with GCC and libKOMP runtime), and StarPU. We evaluated HPSM development effort with AXPY program, and performance with three parallel benchmarks: N-Body, Hotspot, and CFD solver. The CPU-GPU combination attained better performance than only GPUs for all cases on a CPU-GPU system. Still, our findings provide evidence that NUMA affinity at framework level may produce different results.","PeriodicalId":325990,"journal":{"name":"2017 International Symposium on Computer Architecture and High Performance Computing Workshops (SBAC-PADW)","volume":"48 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2017-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":"{\"title\":\"HPSM: A Programming Framework for Multi-CPU and Multi-GPU Systems\",\"authors\":\"J. F. Lima, D. D. Domenico\",\"doi\":\"10.1109/SBAC-PADW.2017.14\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper presents a high-level C++ framework to explore multi-CPU and multi-GPU systems called HPSM. HPSM enables parallel loops and reductions implemented over three parallel backends: Serial, OpenMP (with GCC and libKOMP runtime), and StarPU. We evaluated HPSM development effort with AXPY program, and performance with three parallel benchmarks: N-Body, Hotspot, and CFD solver. The CPU-GPU combination attained better performance than only GPUs for all cases on a CPU-GPU system. Still, our findings provide evidence that NUMA affinity at framework level may produce different results.\",\"PeriodicalId\":325990,\"journal\":{\"name\":\"2017 International Symposium on Computer Architecture and High Performance Computing Workshops (SBAC-PADW)\",\"volume\":\"48 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2017-10-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"3\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2017 International Symposium on Computer Architecture and High Performance Computing Workshops (SBAC-PADW)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/SBAC-PADW.2017.14\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2017 International Symposium on Computer Architecture and High Performance Computing Workshops (SBAC-PADW)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/SBAC-PADW.2017.14","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 3

摘要

本文提出了一个高级c++框架,用于探索多cpu和多gpu系统,称为HPSM。HPSM支持在三个并行后端上实现并行循环和缩减:Serial, OpenMP(使用GCC和libKOMP运行时)和StarPU。我们使用AXPY程序评估了HPSM的开发工作,并使用三个并行基准:N-Body、Hotspot和CFD求解器来评估性能。在CPU-GPU系统的所有情况下,CPU-GPU组合都比仅使用gpu获得更好的性能。尽管如此,我们的研究结果提供了证据,表明在框架水平上NUMA的亲和力可能产生不同的结果。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
HPSM: A Programming Framework for Multi-CPU and Multi-GPU Systems
This paper presents a high-level C++ framework to explore multi-CPU and multi-GPU systems called HPSM. HPSM enables parallel loops and reductions implemented over three parallel backends: Serial, OpenMP (with GCC and libKOMP runtime), and StarPU. We evaluated HPSM development effort with AXPY program, and performance with three parallel benchmarks: N-Body, Hotspot, and CFD solver. The CPU-GPU combination attained better performance than only GPUs for all cases on a CPU-GPU system. Still, our findings provide evidence that NUMA affinity at framework level may produce different results.
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:481959085
Book学术官方微信