测试英特尔Xeon Phi

Jianbin Fang, H. Sips, Lilun Zhang, Chuanfu Xu, Yonggang Che, A. Varbanescu
{"title":"测试英特尔Xeon Phi","authors":"Jianbin Fang, H. Sips, Lilun Zhang, Chuanfu Xu, Yonggang Che, A. Varbanescu","doi":"10.1145/2568088.2576799","DOIUrl":null,"url":null,"abstract":"Based on Intel's Many Integrated Core (MIC) architecture, Intel Xeon Phi is one of the few truly many-core CPUs - featuring around 60 fairly powerful cores, two levels of caches, and graphic memory, all interconnected by a very fast ring. Given its promised ease-of-use and high performance, we took Xeon Phi out for a test drive. In this paper, we present this experience at two different levels: (1) the microbenchmark level, where we stress \"each nut and bolt\" of Phi in the lab, and (2) the application level, where we study Phi's performance response in a real-life environment. At the microbenchmarking level, we show the high performance of five components of the architecture, focusing on their maximum achieved performance and the prerequisites to achieve it. Next, we choose a medical imaging application (Leukocyte Tracking) as a case study. We observed that it is rather easy to get functional code and start benchmarking, but the first performance numbers can be far from satisfying. Our experience indicates that a simple data structure and massive parallelism are critical for Xeon Phi to perform well. When compiler-driven parallelization and/or vectorization fails, programming Xeon Phi for performance can become very challenging.","PeriodicalId":243233,"journal":{"name":"Proceedings of the 5th ACM/SPEC international conference on Performance engineering","volume":"315 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2014-03-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"99","resultStr":"{\"title\":\"Test-driving Intel Xeon Phi\",\"authors\":\"Jianbin Fang, H. Sips, Lilun Zhang, Chuanfu Xu, Yonggang Che, A. Varbanescu\",\"doi\":\"10.1145/2568088.2576799\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Based on Intel's Many Integrated Core (MIC) architecture, Intel Xeon Phi is one of the few truly many-core CPUs - featuring around 60 fairly powerful cores, two levels of caches, and graphic memory, all interconnected by a very fast ring. Given its promised ease-of-use and high performance, we took Xeon Phi out for a test drive. In this paper, we present this experience at two different levels: (1) the microbenchmark level, where we stress \\\"each nut and bolt\\\" of Phi in the lab, and (2) the application level, where we study Phi's performance response in a real-life environment. At the microbenchmarking level, we show the high performance of five components of the architecture, focusing on their maximum achieved performance and the prerequisites to achieve it. Next, we choose a medical imaging application (Leukocyte Tracking) as a case study. We observed that it is rather easy to get functional code and start benchmarking, but the first performance numbers can be far from satisfying. Our experience indicates that a simple data structure and massive parallelism are critical for Xeon Phi to perform well. When compiler-driven parallelization and/or vectorization fails, programming Xeon Phi for performance can become very challenging.\",\"PeriodicalId\":243233,\"journal\":{\"name\":\"Proceedings of the 5th ACM/SPEC international conference on Performance engineering\",\"volume\":\"315 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2014-03-22\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"99\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings of the 5th ACM/SPEC international conference on Performance engineering\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1145/2568088.2576799\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the 5th ACM/SPEC international conference on Performance engineering","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/2568088.2576799","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 99

摘要

基于英特尔的多核心集成(MIC)架构,英特尔至强Phi是为数不多的真正的多核cpu之一——拥有大约60个相当强大的核心,两级缓存和图形内存,所有这些都通过一个非常快的环连接。鉴于其承诺的易用性和高性能,我们将Xeon Phi进行了测试。在本文中,我们从两个不同的层面呈现这种体验:(1)微基准层面,我们在实验室中强调Phi的“每个螺母和螺栓”;(2)应用层面,我们在现实环境中研究Phi的性能响应。在微基准测试级别,我们展示了该体系结构的五个组件的高性能,重点关注它们的最大性能和实现它的先决条件。接下来,我们选择一个医学成像应用(白细胞跟踪)作为案例研究。我们观察到,获得功能代码并开始基准测试是相当容易的,但是第一个性能数字可能远不能令人满意。我们的经验表明,简单的数据结构和大规模并行性对于Xeon Phi处理器的良好性能至关重要。当编译器驱动的并行化和/或向量化失败时,对Xeon Phi进行性能编程可能会变得非常具有挑战性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Test-driving Intel Xeon Phi
Based on Intel's Many Integrated Core (MIC) architecture, Intel Xeon Phi is one of the few truly many-core CPUs - featuring around 60 fairly powerful cores, two levels of caches, and graphic memory, all interconnected by a very fast ring. Given its promised ease-of-use and high performance, we took Xeon Phi out for a test drive. In this paper, we present this experience at two different levels: (1) the microbenchmark level, where we stress "each nut and bolt" of Phi in the lab, and (2) the application level, where we study Phi's performance response in a real-life environment. At the microbenchmarking level, we show the high performance of five components of the architecture, focusing on their maximum achieved performance and the prerequisites to achieve it. Next, we choose a medical imaging application (Leukocyte Tracking) as a case study. We observed that it is rather easy to get functional code and start benchmarking, but the first performance numbers can be far from satisfying. Our experience indicates that a simple data structure and massive parallelism are critical for Xeon Phi to perform well. When compiler-driven parallelization and/or vectorization fails, programming Xeon Phi for performance can become very challenging.
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