Cask HLS: A Better Development Tool for Vitis HLS

Andrew Nazareth, Bernardo Perez, Rachel Paul, James Root, Ritarka Samanta, William Vaught, Stefan Abi-Karam, Rishov Sarkar, Cong Hao
{"title":"Cask HLS: A Better Development Tool for Vitis HLS","authors":"Andrew Nazareth, Bernardo Perez, Rachel Paul, James Root, Ritarka Samanta, William Vaught, Stefan Abi-Karam, Rishov Sarkar, Cong Hao","doi":"10.1109/ORSS58323.2023.10161946","DOIUrl":null,"url":null,"abstract":"The increasing complexity of modern hardware designs makes it difficult for the developer to easily design, validate, and test ideas while creating RTL (Register Transfer Level) logic. HLS (High-Level Synthesis) has been introduced as a tool to easily design complex and specialized hardware such as machine learning accelerators, processors, and other FPGA designs on a behavioral level, significantly reducing the size and time typically necessary for such undertakings. However, the complex compilation process and the semantic gap between behavioral code and synthesized hardware make resulting designs hard to verify and debug. Cask HLS, a web-application debugger for Vitis HLS, not only loads relevant debugging information faster than Vitis, but also creates new visualizations and quality-of-life improvements such as a side-by-side C++/LLVM-IR schedule viewer, linter, and function call graph, allowing debugging through a lightweight, portable application.","PeriodicalId":263086,"journal":{"name":"2023 IEEE International Opportunity Research Scholars Symposium (ORSS)","volume":"3 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2023-04-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2023 IEEE International Opportunity Research Scholars Symposium (ORSS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ORSS58323.2023.10161946","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

The increasing complexity of modern hardware designs makes it difficult for the developer to easily design, validate, and test ideas while creating RTL (Register Transfer Level) logic. HLS (High-Level Synthesis) has been introduced as a tool to easily design complex and specialized hardware such as machine learning accelerators, processors, and other FPGA designs on a behavioral level, significantly reducing the size and time typically necessary for such undertakings. However, the complex compilation process and the semantic gap between behavioral code and synthesized hardware make resulting designs hard to verify and debug. Cask HLS, a web-application debugger for Vitis HLS, not only loads relevant debugging information faster than Vitis, but also creates new visualizations and quality-of-life improvements such as a side-by-side C++/LLVM-IR schedule viewer, linter, and function call graph, allowing debugging through a lightweight, portable application.
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
桶HLS:一个更好的葡萄HLS开发工具
现代硬件设计日益复杂,使得开发人员在创建RTL(寄存器传输级)逻辑时难以轻松地设计、验证和测试想法。然而,复杂的编译过程以及行为代码与合成硬件之间的语义差距使得最终设计难以验证和调试。Cask HLS是Vitis HLS的一个web应用程序调试器,它不仅比Vitis更快地加载相关的调试信息,而且还创建了新的可视化和生活质量的改进,例如并行的c++ /LLVM-IR调度查看器、检查器和函数调用图,允许通过轻量级、可移植的应用程序进行调试。
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
Energy Minimization in Overtaking for Autonomous Vehicles in a Bidirectional Environment 360 Degree Beam Steering for Wirelessly Charging Underground Proximity Sensors Feature Importance Analysis For A Personalized Thermal Comfort Model Using Meta-learning Cask HLS: A Better Development Tool for Vitis HLS Machine Learning Algorithm Co-Design for a 40 nm RRAM Analog Compute-in-Memory Accelerator
×
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