Abstract

In this paper, we present an effective algorithm and a simple hardware structure for the implementation of AB 2 multiplication using irreducible all one polynomial (AOP) in finite field GF(2m). We argue with a problem that conventional algorithms using irreducible AOP are operated in extended basis, then we propose an effective algorithm and an architecture which are operated in the polynomial basis. The proposed algorithm is substantially considered relationships between operands based on inner-product computation. Based on the algorithm, we propose an architecture in which its results can be immediately used for other operations. Specially, the algorithm and architecture are useful conception for modular exponentiation since exponentiation is computed by repetition of AB 2 multiplication.KeywordsClock CycleFinite FieldSystolic ArrayPolynomial BasisHardware ComplexityThese keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

Talk to us

Join us for a 30 min session where you can share your feedback and ask us any queries you have

Schedule a call

Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.