{"title":"A Coarse Grained Reconfigurable Architecture for SHA-2 Acceleration","authors":"H. Pham, T. Tran, Luc Duong, Y. Nakashima","doi":"10.1109/IPDPSW55747.2022.00117","DOIUrl":null,"url":null,"abstract":"The development of high-speed SHA-2 hardware with high flexibility is urgently needed because SHA-2 functions are widely employed in numerous fields, from loT devices to cryp-to currency. Unfortunately, the existing SHA-2 circuits have difficulty in achieving high flexibility and hardware efficiency. Therefore, this paper proposes a coarse-grained reconfigurable architecture (CGRA) for accelerating SHA-2 computation, named a CGRA SHA-2 accelerator. To effectively support various algorithms and requirements, three optimization techniques are proposed to achieve high flexibility and hardware efficiency. First, an on-demand pro-cessing element array is proposed to enable flexible computation for long and short messages. Second, a dual-ALU processing element (D-PE) is proposed to compute various SHA-2 functions. Third, the pipelined dual-ALU architecture is proposed to reduce the critical paths, leading to remarkably improved performance and hardware efficiency. The accuracy of our proposed accelerator is verified on a real hardware platform (the Xilinx Alveo U280 FPGA). Besides, the experimental results on several FPGAs prove that the proposed CGRA SHA-2 accelerator is significantly higher performance, hardware efficiency, and flexibility than existing works.","PeriodicalId":286968,"journal":{"name":"2022 IEEE International Parallel and Distributed Processing Symposium Workshops (IPDPSW)","volume":"29 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2022 IEEE International Parallel and Distributed Processing Symposium Workshops (IPDPSW)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/IPDPSW55747.2022.00117","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 2
Abstract
The development of high-speed SHA-2 hardware with high flexibility is urgently needed because SHA-2 functions are widely employed in numerous fields, from loT devices to cryp-to currency. Unfortunately, the existing SHA-2 circuits have difficulty in achieving high flexibility and hardware efficiency. Therefore, this paper proposes a coarse-grained reconfigurable architecture (CGRA) for accelerating SHA-2 computation, named a CGRA SHA-2 accelerator. To effectively support various algorithms and requirements, three optimization techniques are proposed to achieve high flexibility and hardware efficiency. First, an on-demand pro-cessing element array is proposed to enable flexible computation for long and short messages. Second, a dual-ALU processing element (D-PE) is proposed to compute various SHA-2 functions. Third, the pipelined dual-ALU architecture is proposed to reduce the critical paths, leading to remarkably improved performance and hardware efficiency. The accuracy of our proposed accelerator is verified on a real hardware platform (the Xilinx Alveo U280 FPGA). Besides, the experimental results on several FPGAs prove that the proposed CGRA SHA-2 accelerator is significantly higher performance, hardware efficiency, and flexibility than existing works.