{"title":"An Open-Source $4 \\times 8$ Coarse-Grained Reconfigurable Array Using SkyWater 130 nm Technology and Agile Hardware Design Flow","authors":"Po-Han Chen, Charles Tsao, Priyanka Raina","doi":"10.1109/ISCAS46773.2023.10182052","DOIUrl":null,"url":null,"abstract":"With the end of Dennard scaling, hardware specialization has been broadly adopted in computing systems to improve performance and energy-efficiency. However, specialized hardware deprecates soon after new algorithms are introduced. A coarse-grained reconfigurable array (CGRA) offers the programmability required for accommodating application changes, while still being more efficient than FPGAs and GPUs. This work presents a $4\\times 8$ CGRA created using an open-source agile hardware-compiler co-design framework. This is the first CGRA chip designed using the open-source SkyWater 130nm technology and OpenRAM memory compiler. We present the CGRA architecture, implementation results, and silicon validation results to verify the technology portability of agile hardware design framework.","PeriodicalId":177320,"journal":{"name":"2023 IEEE International Symposium on Circuits and Systems (ISCAS)","volume":"21 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2023-05-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2023 IEEE International Symposium on Circuits and Systems (ISCAS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ISCAS46773.2023.10182052","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
With the end of Dennard scaling, hardware specialization has been broadly adopted in computing systems to improve performance and energy-efficiency. However, specialized hardware deprecates soon after new algorithms are introduced. A coarse-grained reconfigurable array (CGRA) offers the programmability required for accommodating application changes, while still being more efficient than FPGAs and GPUs. This work presents a $4\times 8$ CGRA created using an open-source agile hardware-compiler co-design framework. This is the first CGRA chip designed using the open-source SkyWater 130nm technology and OpenRAM memory compiler. We present the CGRA architecture, implementation results, and silicon validation results to verify the technology portability of agile hardware design framework.