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University of Windsor

High Level Synthesis and Evaluation of the Secure Hash Standard for FPGAs

Abstract

dc:description.abstract

Secure hash algorithms (SHAs) are important components of cryptographic applications. SHA performance on central processing units (CPUs) is slow, therefore, acceleration must be done using hardware such as Field Programmable Gate Arrays (FPGAs). Considerable work has been done in academia using FPGAs to accelerate SHAs. These designs were implemented using Hardware Description Language (HDL) based design methodologies, which are tedious and time consuming. High Level Synthesis (HLS) enables designers to synthesize optimized FPGA hardware from algorithm specifications in programming languages such as C/C++. This substantially reduces the design cost and time. In this thesis, the Altera SDK for OpenCL (AOCL) HLS tool was used to synthesize the SHAs on FPGAs and to explore the design space of the algorithms. The results were evaluated against the previous HDL based designs. Synthesized FPGA hardware performance was comparable to the HDL based designs despite the simpler and faster design process.

Degree

thesis:*
Name thesis:degree_name
M.A.Sc.
Level thesis:degree_level
Masters
Discipline thesis:degree_discipline
Electrical and Computer Engineering
Grantor
University of Windsor
Year dc:date.issued
2015

Author and committee

dc:creator, dc:contributor.*
Author dc:creator
  • Janik, Ian Spencer
Advisor dc:contributor.advisor
  • Khalid, Mohammed

Rights

dc:rights
Language dc:language.iso
en_CA

Identifiers

dc:identifier.*
Handle dc:identifier.uri
https://hdl.handle.net/20.500.14776/5459
OAI identifier oai:identifier
oai:uwindsor.scholaris.ca:20.500.14776/5459

Chain of custody

source
Harvested from
University of Windsor
Base URL
uwindsor.scholaris.ca/server/oai/request
Last updated
2026-07-27
Source record
OAI-PMH GetRecord
related terms
citation

Janik, Ian Spencer. High Level Synthesis and Evaluation of the Secure Hash Standard for FPGAs. Masters thesis, University of Windsor, 2015. https://hdl.handle.net/20.500.14776/5459