在异构云数据中心中启用灵活网络FPGA集群

Naif Tarafdar, Thomas Lin, E. Fukuda, H. Bannazadeh, A. Leon-Garcia, P. Chow
{"title":"在异构云数据中心中启用灵活网络FPGA集群","authors":"Naif Tarafdar, Thomas Lin, E. Fukuda, H. Bannazadeh, A. Leon-Garcia, P. Chow","doi":"10.1145/3020078.3021742","DOIUrl":null,"url":null,"abstract":"We present a framework for creating network FPGA clusters in a heterogeneous cloud data center. The FPGA clusters are created using a logical kernel description describing how a group of FPGA kernels are to be connected (independent of which FPGA these kernels are on), and an FPGA mapping file. The kernels within a cluster can be replicated with simple directives within this framework. The FPGAs can communicate to any other network device in the data center, including CPUs, GPUs, and IoT devices (such as sensors). This heterogeneous cloud manages these devices with the use of OpenStack. We observe that our infrastructure is limited due to the physical infrastructure such as the 1~Gb Ethernet connection. Our framework however can be ported to other physical infrastructures. We tested our infrastructure with a database acceleration application. This application was replicated six times across three FPGAs within our cluster and we observed a throughput increase of six times as this scaled linearly. Our framework generates the OpenStack calls needed to reserve the compute devices, creates the network connections (and retrieve MAC addresses), generate the bitstreams, programs the devices, and configure the devices with the appropriate MAC addresses, creating a ready-to-use network device that can interact with any other network device in the data center.","PeriodicalId":252039,"journal":{"name":"Proceedings of the 2017 ACM/SIGDA International Symposium on Field-Programmable Gate Arrays","volume":"69 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2017-02-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"70","resultStr":"{\"title\":\"Enabling Flexible Network FPGA Clusters in a Heterogeneous Cloud Data Center\",\"authors\":\"Naif Tarafdar, Thomas Lin, E. Fukuda, H. Bannazadeh, A. Leon-Garcia, P. Chow\",\"doi\":\"10.1145/3020078.3021742\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"We present a framework for creating network FPGA clusters in a heterogeneous cloud data center. The FPGA clusters are created using a logical kernel description describing how a group of FPGA kernels are to be connected (independent of which FPGA these kernels are on), and an FPGA mapping file. The kernels within a cluster can be replicated with simple directives within this framework. The FPGAs can communicate to any other network device in the data center, including CPUs, GPUs, and IoT devices (such as sensors). This heterogeneous cloud manages these devices with the use of OpenStack. We observe that our infrastructure is limited due to the physical infrastructure such as the 1~Gb Ethernet connection. Our framework however can be ported to other physical infrastructures. We tested our infrastructure with a database acceleration application. This application was replicated six times across three FPGAs within our cluster and we observed a throughput increase of six times as this scaled linearly. Our framework generates the OpenStack calls needed to reserve the compute devices, creates the network connections (and retrieve MAC addresses), generate the bitstreams, programs the devices, and configure the devices with the appropriate MAC addresses, creating a ready-to-use network device that can interact with any other network device in the data center.\",\"PeriodicalId\":252039,\"journal\":{\"name\":\"Proceedings of the 2017 ACM/SIGDA International Symposium on Field-Programmable Gate Arrays\",\"volume\":\"69 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2017-02-22\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"70\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings of the 2017 ACM/SIGDA International Symposium on Field-Programmable Gate Arrays\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1145/3020078.3021742\",\"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 2017 ACM/SIGDA International Symposium on Field-Programmable Gate Arrays","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/3020078.3021742","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 70

摘要

提出了一种在异构云数据中心中创建网络FPGA集群的框架。FPGA集群是使用逻辑内核描述和FPGA映射文件创建的,该描述描述了如何连接一组FPGA内核(与这些内核位于哪个FPGA无关)。集群中的内核可以在这个框架中使用简单的指令进行复制。fpga可以与数据中心的任何其他网络设备通信,包括cpu、gpu和物联网设备(如传感器)。异构云通过OpenStack对这些设备进行管理。我们观察到,由于物理基础设施(如1~Gb以太网连接),我们的基础设施受到限制。然而,我们的框架可以移植到其他物理基础设施上。我们用一个数据库加速应用程序测试了我们的基础设施。这个应用程序在我们集群中的三个fpga上复制了六次,我们观察到吞吐量增加了六倍。我们的框架生成预留计算设备所需的OpenStack调用,创建网络连接(并检索MAC地址),生成比特流,对设备进行编程,并使用适当的MAC地址配置设备,创建一个可以与数据中心中任何其他网络设备交互的即用型网络设备。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Enabling Flexible Network FPGA Clusters in a Heterogeneous Cloud Data Center
We present a framework for creating network FPGA clusters in a heterogeneous cloud data center. The FPGA clusters are created using a logical kernel description describing how a group of FPGA kernels are to be connected (independent of which FPGA these kernels are on), and an FPGA mapping file. The kernels within a cluster can be replicated with simple directives within this framework. The FPGAs can communicate to any other network device in the data center, including CPUs, GPUs, and IoT devices (such as sensors). This heterogeneous cloud manages these devices with the use of OpenStack. We observe that our infrastructure is limited due to the physical infrastructure such as the 1~Gb Ethernet connection. Our framework however can be ported to other physical infrastructures. We tested our infrastructure with a database acceleration application. This application was replicated six times across three FPGAs within our cluster and we observed a throughput increase of six times as this scaled linearly. Our framework generates the OpenStack calls needed to reserve the compute devices, creates the network connections (and retrieve MAC addresses), generate the bitstreams, programs the devices, and configure the devices with the appropriate MAC addresses, creating a ready-to-use network device that can interact with any other network device in the data center.
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