用于基本功能的软件指定FPGA加速器

J. Chen, Xue Liu, J. Anderson
{"title":"用于基本功能的软件指定FPGA加速器","authors":"J. Chen, Xue Liu, J. Anderson","doi":"10.1109/FPT.2018.00019","DOIUrl":null,"url":null,"abstract":"We use a high-level synthesis (HLS) methodology for the design of hardware accelerators for two elementary functions: reciprocal and square root. The functions are described in C-language software and synthesized into Verilog RTL using the LegUp HLS tool from the University of Toronto [1]. The accelerators are designed to deliver high accuracy, and provide less than 1 ULP error in comparison with GNU software (math.h). Through changes to the HLS constraints, hardware implementations with different speed/area trade-offs can be generated rapidly. In an experimental study, our HLS-generated accelerators are targeted to the Altera/Intel Cyclone V FPGA and compared with hand-designed cores from the FPGA vendor. Results show that our cores offer considerably better resource usage (area) (i.e. ALMs, DSPs, memory bits), while commercial cores operate at a modestly higher FMax.","PeriodicalId":434541,"journal":{"name":"2018 International Conference on Field-Programmable Technology (FPT)","volume":"16 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2018-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Software-Specified FPGA Accelerators for Elementary Functions\",\"authors\":\"J. Chen, Xue Liu, J. Anderson\",\"doi\":\"10.1109/FPT.2018.00019\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"We use a high-level synthesis (HLS) methodology for the design of hardware accelerators for two elementary functions: reciprocal and square root. The functions are described in C-language software and synthesized into Verilog RTL using the LegUp HLS tool from the University of Toronto [1]. The accelerators are designed to deliver high accuracy, and provide less than 1 ULP error in comparison with GNU software (math.h). Through changes to the HLS constraints, hardware implementations with different speed/area trade-offs can be generated rapidly. In an experimental study, our HLS-generated accelerators are targeted to the Altera/Intel Cyclone V FPGA and compared with hand-designed cores from the FPGA vendor. Results show that our cores offer considerably better resource usage (area) (i.e. ALMs, DSPs, memory bits), while commercial cores operate at a modestly higher FMax.\",\"PeriodicalId\":434541,\"journal\":{\"name\":\"2018 International Conference on Field-Programmable Technology (FPT)\",\"volume\":\"16 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2018-12-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2018 International Conference on Field-Programmable Technology (FPT)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/FPT.2018.00019\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2018 International Conference on Field-Programmable Technology (FPT)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/FPT.2018.00019","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

摘要

我们使用高级综合(HLS)方法来设计两个基本函数的硬件加速器:倒数和平方根。这些函数在c语言软件中描述,并使用多伦多大学的LegUp HLS工具合成为Verilog RTL[1]。加速器被设计为提供高精度,与GNU软件(math.h)相比,提供小于1 ULP的误差。通过更改HLS约束,可以快速生成具有不同速度/面积权衡的硬件实现。在一项实验研究中,我们的hls生成的加速器针对Altera/Intel Cyclone V FPGA,并与FPGA供应商手工设计的内核进行了比较。结果表明,我们的核心提供了相当好的资源使用(面积)(即alm, dsp,内存位),而商业核心在略高的FMax下运行。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Software-Specified FPGA Accelerators for Elementary Functions
We use a high-level synthesis (HLS) methodology for the design of hardware accelerators for two elementary functions: reciprocal and square root. The functions are described in C-language software and synthesized into Verilog RTL using the LegUp HLS tool from the University of Toronto [1]. The accelerators are designed to deliver high accuracy, and provide less than 1 ULP error in comparison with GNU software (math.h). Through changes to the HLS constraints, hardware implementations with different speed/area trade-offs can be generated rapidly. In an experimental study, our HLS-generated accelerators are targeted to the Altera/Intel Cyclone V FPGA and compared with hand-designed cores from the FPGA vendor. Results show that our cores offer considerably better resource usage (area) (i.e. ALMs, DSPs, memory bits), while commercial cores operate at a modestly higher FMax.
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