{"title":"A Zynq-based testbed for the experimental benchmarking of algorithms competing in cryptographic contests","authors":"Farnoud Farahmand, Ekawat Homsirikamol, K. Gaj","doi":"10.1109/ReConFig.2016.7857148","DOIUrl":null,"url":null,"abstract":"Hardware performance evaluation of candidates competing in cryptographic contests, such as SHA-3 and CAE-SAR, is very important for ranking their suitability for standardization. One of the most essential performance metrics is the throughput, which highly depends on the algorithm, hardware implementation architecture, coding style, and options of tools. The maximum throughput is calculated based on the maximum clock frequency supported by each algorithm. A common way of determining the maximum clock frequency is static timing analysis provided by the CAD toolsets such as Xilinx ISE, Xilinx Vivado, and Altera Quartus Prime. In this project, we have developed a universal testbed, which is capable of measuring the maximum clock frequency experimentally, using a prototyping board. We are targeting cryptographic hardware cores, such as implementations of SHA-3 candidates. Our testbed is designed using a Zynq platform and takes advantage of software/hardware co-design. It supports two separate clock domains, one for a hardware module under test, and the other for the communication between an ARM core and hardware accelerator. We measured the maximum clock frequency and the execution time of 12 Round 2 SHA-3 candidates experimentally on ZedBoard and compared the results with the frequencies reported by Xilinx Vivado. Our results indicate that depending on the characteristics of each algorithm, we may achieve either much higher or the same experimental frequency than the results reported by the tools using static timing analysis. This behavior is then further analyzed, and the relevant conclusions drawn.","PeriodicalId":431909,"journal":{"name":"2016 International Conference on ReConFigurable Computing and FPGAs (ReConFig)","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2016-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"7","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2016 International Conference on ReConFigurable Computing and FPGAs (ReConFig)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ReConFig.2016.7857148","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 7
Abstract
Hardware performance evaluation of candidates competing in cryptographic contests, such as SHA-3 and CAE-SAR, is very important for ranking their suitability for standardization. One of the most essential performance metrics is the throughput, which highly depends on the algorithm, hardware implementation architecture, coding style, and options of tools. The maximum throughput is calculated based on the maximum clock frequency supported by each algorithm. A common way of determining the maximum clock frequency is static timing analysis provided by the CAD toolsets such as Xilinx ISE, Xilinx Vivado, and Altera Quartus Prime. In this project, we have developed a universal testbed, which is capable of measuring the maximum clock frequency experimentally, using a prototyping board. We are targeting cryptographic hardware cores, such as implementations of SHA-3 candidates. Our testbed is designed using a Zynq platform and takes advantage of software/hardware co-design. It supports two separate clock domains, one for a hardware module under test, and the other for the communication between an ARM core and hardware accelerator. We measured the maximum clock frequency and the execution time of 12 Round 2 SHA-3 candidates experimentally on ZedBoard and compared the results with the frequencies reported by Xilinx Vivado. Our results indicate that depending on the characteristics of each algorithm, we may achieve either much higher or the same experimental frequency than the results reported by the tools using static timing analysis. This behavior is then further analyzed, and the relevant conclusions drawn.