A Soft Coarse-Grained Reconfigurable Array Based High-level Synthesis Methodology: Promoting Design Productivity and Exploring Extreme FPGA Frequency

Cheng Liu, C. Y. Lin, Hayden Kwok-Hay So
{"title":"A Soft Coarse-Grained Reconfigurable Array Based High-level Synthesis Methodology: Promoting Design Productivity and Exploring Extreme FPGA Frequency","authors":"Cheng Liu, C. Y. Lin, Hayden Kwok-Hay So","doi":"10.1109/FCCM.2013.21","DOIUrl":null,"url":null,"abstract":"Compared to the use of a typical software development flow, the productivity of developing FPGA-based compute applications remains much lower. Although the use of high-level synthesis (HLS) tools may partly alleviate this shortcoming, the lengthy low-level FPGA implementation process remains a major obstacle to high productivity computing, limiting the number of compile-debug-edit cycles per day. Furthermore, high-level application developers often lack the intimate hardware engineering experience that is needed to achieve high performance on FPGAs, therefore undermining their usefulness as accelerators. To address the productivity and performance problems, a HLS methodology that utilizes soft coarse-grained reconfigurable arrays (SCGRAs) as an intermediate compilation step is presented. Instead of compiling high-level applications directly to circuits, the compilation process is reduced to an operation scheduling task targeting the SCGRA.","PeriodicalId":269887,"journal":{"name":"2013 IEEE 21st Annual International Symposium on Field-Programmable Custom Computing Machines","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2013-04-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"14","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2013 IEEE 21st Annual International Symposium on Field-Programmable Custom Computing Machines","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/FCCM.2013.21","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 14

Abstract

Compared to the use of a typical software development flow, the productivity of developing FPGA-based compute applications remains much lower. Although the use of high-level synthesis (HLS) tools may partly alleviate this shortcoming, the lengthy low-level FPGA implementation process remains a major obstacle to high productivity computing, limiting the number of compile-debug-edit cycles per day. Furthermore, high-level application developers often lack the intimate hardware engineering experience that is needed to achieve high performance on FPGAs, therefore undermining their usefulness as accelerators. To address the productivity and performance problems, a HLS methodology that utilizes soft coarse-grained reconfigurable arrays (SCGRAs) as an intermediate compilation step is presented. Instead of compiling high-level applications directly to circuits, the compilation process is reduced to an operation scheduling task targeting the SCGRA.
基于软粗粒度可重构阵列的高级综合方法:提高设计效率和探索极限FPGA频率
与使用典型的软件开发流程相比,开发基于fpga的计算应用程序的生产率仍然要低得多。尽管使用高级合成(HLS)工具可以部分缓解这一缺点,但冗长的低级FPGA实现过程仍然是高生产率计算的主要障碍,限制了每天编译-调试-编辑周期的数量。此外,高级应用程序开发人员通常缺乏在fpga上实现高性能所需的硬件工程经验,因此削弱了它们作为加速器的有用性。为了解决生产力和性能问题,提出了一种利用软粗粒度可重构数组(SCGRAs)作为中间编译步骤的HLS方法。编译过程不是直接将高级应用程序编译到电路中,而是简化为针对SCGRA的操作调度任务。
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 求助全文
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