{"title":"SHA-2加速的粗粒度可重构体系结构","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":"{\"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}","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}
A Coarse Grained Reconfigurable Architecture for SHA-2 Acceleration
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.