Distributed Computing and Optimization Space Exploration for Fair and Efficient Benchmarking of Cryptographic Cores in FPGAs

dc.contributor.advisorGaj, Kris
dc.contributor.authorBrewster, Benjamin
dc.creatorBrewster, Benjamin
dc.date2012-05-02
dc.date.accessioned2012-06-18T20:35:49Z
dc.date.availableNO_RESTRICTION
dc.date.available2012-06-18T20:35:49Z
dc.date.issued2012-06-18
dc.description.abstractBenchmarking of digital designs targeting FPGAs is a time intensive and challenging process. Benchmarking results depend on a myriad of variables beyond the properties inherent to the designs being evaluated, encompassing the tools, tool options, FPGA families, and languages used. In this thesis we will be discussing enhancements made to the ATHENa benchmarking tool to utilize distributed computing as well as optimization space exploration techniques to increase the efficiency of the ATHENa benchmarking process. Capabilities of the environment are demonstrated using four example designs from the SHA-3 cryptographic hashing function competition, BLAKE, JH, Keccak and Skein.
dc.identifier.urihttps://hdl.handle.net/1920/7889
dc.language.isoen_US
dc.subjectBenchmarking
dc.subjectFPGA
dc.subjectCryptography
dc.subjectOptimization
dc.titleDistributed Computing and Optimization Space Exploration for Fair and Efficient Benchmarking of Cryptographic Cores in FPGAs
dc.typeThesis
thesis.degree.disciplineComputer Engineering
thesis.degree.grantorGeorge Mason University
thesis.degree.levelMaster's
thesis.degree.nameMasters in Computer Engineering

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