EFCAD — An Embedded FPGA CAD Tool Flow for Enabling On-chip Self-Compilation

K. Pham, Malte Vesper, Dirk Koch, Eddie Hung
{"title":"EFCAD — An Embedded FPGA CAD Tool Flow for Enabling On-chip Self-Compilation","authors":"K. Pham, Malte Vesper, Dirk Koch, Eddie Hung","doi":"10.1109/FCCM.2019.00011","DOIUrl":null,"url":null,"abstract":"This paper combines a chain of academic tools to form an FPGA compilation flow for building partially reconfigurable modules on lightweight embedded platforms. Our flow — EFCAD — supports the entire stack from RTL (Verilog) to (partial) bitstream, and we demonstrate early results from the onchip ARM processor of, and targeting, the latest 16nm generation of a Zynq UltraScale+ MPSoC device. With this, we complement Xilinx's PYNQ initiative to not only facilitate System-on-Chip research and education entirely within an embedded system, but also to allow building new and specialising existing customcomputing accelerators without needing access to a workstation.","PeriodicalId":116955,"journal":{"name":"2019 IEEE 27th Annual International Symposium on Field-Programmable Custom Computing Machines (FCCM)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"4","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2019 IEEE 27th Annual International Symposium on Field-Programmable Custom Computing Machines (FCCM)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/FCCM.2019.00011","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 4

Abstract

This paper combines a chain of academic tools to form an FPGA compilation flow for building partially reconfigurable modules on lightweight embedded platforms. Our flow — EFCAD — supports the entire stack from RTL (Verilog) to (partial) bitstream, and we demonstrate early results from the onchip ARM processor of, and targeting, the latest 16nm generation of a Zynq UltraScale+ MPSoC device. With this, we complement Xilinx's PYNQ initiative to not only facilitate System-on-Chip research and education entirely within an embedded system, but also to allow building new and specialising existing customcomputing accelerators without needing access to a workstation.
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
实现片上自编译的嵌入式FPGA CAD工具流
本文结合了一系列学术工具,形成了一个FPGA编译流程,用于在轻量级嵌入式平台上构建部分可重构模块。我们的流程- EFCAD -支持从RTL (Verilog)到(部分)比特流的整个堆栈,并且我们展示了片上ARM处理器的早期结果,并针对最新的16nm一代Zynq UltraScale+ MPSoC设备。有了这个,我们补充了赛灵思的PYNQ计划,不仅促进了嵌入式系统内的片上系统研究和教育,而且还允许在不需要访问工作站的情况下构建新的和专业的现有定制计算加速器。
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
Hardware Acceleration of Long Read Pairwise Overlapping in Genome Sequencing: A Race Between FPGA and GPU MEG: A RISCV-Based System Simulation Infrastructure for Exploring Memory Optimization Using FPGAs and Hybrid Memory Cube π-BA: Bundle Adjustment Acceleration on Embedded FPGAs with Co-observation Optimization Safe Task Interruption for FPGAs Analyzing the Energy-Efficiency of Vision Kernels on Embedded CPU, GPU and FPGA Platforms
×
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