探索fpga承载高性能计算设计的能力

Clement Foucher, F. Muller, A. Giulieri
{"title":"探索fpga承载高性能计算设计的能力","authors":"Clement Foucher, F. Muller, A. Giulieri","doi":"10.1109/NORCHIP.2010.5669494","DOIUrl":null,"url":null,"abstract":"Reconfigurable hardware is now used in high performance computers, introducing the high performance reconfigurable computing. Dynamic hardware allows processors to devolve intensive computations to dedicated hardware circuitry optimized for that purpose. Our aim is to make larger use of hardware capabilities by pooling the hardware and software computations resources in a unified design in order to allow replacing the ones by the others depending on the application needs. For that purpose, we needed a test platform to evaluate FPGA capabilities to operate as a high performance computer node. We designed an architecture allowing the separation of a parallel program communication from its kernels computation in order to make easier the future partial dynamic reconfiguration of the processing elements. This architecture implements static softcores as test IPs, keeping in mind that the future platform implementing dynamic reconfiguration will allow changing the processing elements. In this paper, we present this test architecture and its implementation upon Xilinx Virtex 5 FPGAs. We then present a benchmark of the platform using the NAS parallel benchmark integer sort in order to compare various use cases.","PeriodicalId":292342,"journal":{"name":"NORCHIP 2010","volume":"31 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2010-12-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"4","resultStr":"{\"title\":\"Exploring FPGAs capability to host a HPC design\",\"authors\":\"Clement Foucher, F. Muller, A. Giulieri\",\"doi\":\"10.1109/NORCHIP.2010.5669494\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Reconfigurable hardware is now used in high performance computers, introducing the high performance reconfigurable computing. Dynamic hardware allows processors to devolve intensive computations to dedicated hardware circuitry optimized for that purpose. Our aim is to make larger use of hardware capabilities by pooling the hardware and software computations resources in a unified design in order to allow replacing the ones by the others depending on the application needs. For that purpose, we needed a test platform to evaluate FPGA capabilities to operate as a high performance computer node. We designed an architecture allowing the separation of a parallel program communication from its kernels computation in order to make easier the future partial dynamic reconfiguration of the processing elements. This architecture implements static softcores as test IPs, keeping in mind that the future platform implementing dynamic reconfiguration will allow changing the processing elements. In this paper, we present this test architecture and its implementation upon Xilinx Virtex 5 FPGAs. We then present a benchmark of the platform using the NAS parallel benchmark integer sort in order to compare various use cases.\",\"PeriodicalId\":292342,\"journal\":{\"name\":\"NORCHIP 2010\",\"volume\":\"31 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2010-12-17\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"4\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"NORCHIP 2010\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/NORCHIP.2010.5669494\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"NORCHIP 2010","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/NORCHIP.2010.5669494","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 4

摘要

可重构硬件现已广泛应用于高性能计算机中,从而引入了高性能可重构计算。动态硬件允许处理器将密集的计算转移到为此目的而优化的专用硬件电路。我们的目标是通过在统一设计中汇集硬件和软件计算资源来更大程度地利用硬件功能,以便根据应用程序的需要使用其他资源来替换它们。为此,我们需要一个测试平台来评估FPGA作为高性能计算机节点运行的能力。我们设计了一种架构,允许将并行程序通信与其内核计算分离,以便于将来处理元素的部分动态重新配置。该体系结构将静态软核实现为测试ip,记住未来实现动态重新配置的平台将允许更改处理元素。在本文中,我们介绍了该测试架构及其在Xilinx Virtex 5 fpga上的实现。然后,我们提供了一个使用NAS并行基准整数排序的平台基准,以便比较各种用例。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Exploring FPGAs capability to host a HPC design
Reconfigurable hardware is now used in high performance computers, introducing the high performance reconfigurable computing. Dynamic hardware allows processors to devolve intensive computations to dedicated hardware circuitry optimized for that purpose. Our aim is to make larger use of hardware capabilities by pooling the hardware and software computations resources in a unified design in order to allow replacing the ones by the others depending on the application needs. For that purpose, we needed a test platform to evaluate FPGA capabilities to operate as a high performance computer node. We designed an architecture allowing the separation of a parallel program communication from its kernels computation in order to make easier the future partial dynamic reconfiguration of the processing elements. This architecture implements static softcores as test IPs, keeping in mind that the future platform implementing dynamic reconfiguration will allow changing the processing elements. In this paper, we present this test architecture and its implementation upon Xilinx Virtex 5 FPGAs. We then present a benchmark of the platform using the NAS parallel benchmark integer sort in order to compare various use cases.
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