Towards Serial-Equivalent Parallel Routing for FPGAs: (Abstract Only)

Minghua Shen, Wentai Zhang, Nong Xiao, Guojie Luo
{"title":"Towards Serial-Equivalent Parallel Routing for FPGAs: (Abstract Only)","authors":"Minghua Shen, Wentai Zhang, Nong Xiao, Guojie Luo","doi":"10.1145/3174243.3174974","DOIUrl":null,"url":null,"abstract":"Serial equivalency can provide easier regression testing and customer support in production-grade CAD software. While existing parallel routing techniques have become sufficiently advanced to accelerate the execution time, support for serial equivalency has been very limited or ignored due to it was considered costly. In this paper, we propose serial-equivalent parallel routing for FPGAs. We use an optimal dependency-aware scheduling to facilitate serial equivalency of parallel routing algorithm. This capability enables the same answer as the serial version of the parallel algorithm, regardless of how many processing cores are used. We also validate this property across different hardware platforms. Further experimental results show that we achieve a 14.27x speedup on the MPI-based distributed parallel computer and a 19.65x speedup on the GPU-based massively parallel machine. To our knowledge, it is the first parallel routing with a serial equivalency guarantee.","PeriodicalId":164936,"journal":{"name":"Proceedings of the 2018 ACM/SIGDA International Symposium on Field-Programmable Gate Arrays","volume":"28 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2018-02-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the 2018 ACM/SIGDA International Symposium on Field-Programmable Gate Arrays","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/3174243.3174974","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

Abstract

Serial equivalency can provide easier regression testing and customer support in production-grade CAD software. While existing parallel routing techniques have become sufficiently advanced to accelerate the execution time, support for serial equivalency has been very limited or ignored due to it was considered costly. In this paper, we propose serial-equivalent parallel routing for FPGAs. We use an optimal dependency-aware scheduling to facilitate serial equivalency of parallel routing algorithm. This capability enables the same answer as the serial version of the parallel algorithm, regardless of how many processing cores are used. We also validate this property across different hardware platforms. Further experimental results show that we achieve a 14.27x speedup on the MPI-based distributed parallel computer and a 19.65x speedup on the GPU-based massively parallel machine. To our knowledge, it is the first parallel routing with a serial equivalency guarantee.
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
fpga的串行等效并行路由(摘要)
串行等效可以在生产级CAD软件中提供更容易的回归测试和客户支持。虽然现有的并行路由技术已经足够先进,可以加快执行时间,但对串行等价的支持非常有限,或者被认为代价高昂而被忽略。在本文中,我们提出了fpga的串行等效并行路由。为了实现并行路由算法的串行等效性,我们采用了一种最优依赖感知调度。无论使用多少处理内核,该功能都可以实现与并行算法的串行版本相同的答案。我们还在不同的硬件平台上验证这个属性。进一步的实验结果表明,我们在基于mpi的分布式并行计算机上实现了14.27倍的加速,在基于gpu的大规模并行计算机上实现了19.65倍的加速。据我们所知,这是第一个具有串行等效保证的并行路由。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
Architecture and Circuit Design of an All-Spintronic FPGA Session details: Session 6: High Level Synthesis 2 A FPGA Friendly Approximate Computing Framework with Hybrid Neural Networks: (Abstract Only) Software/Hardware Co-design for Multichannel Scheduling in IEEE 802.11p MLME: (Abstract Only) Session details: Special Session: Deep Learning
×
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
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 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 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1