Design of Montgomery Multiplication Architecture Based on Programmable Cellular Automata
Jun‐Cheol Jeon, Kee-Young Yoo · Computational Intelligence · 2004
This study presents a Montgomery multiplication architecture that uses an irreducible all one polynomial (AOP) in GF(2m) based on a programmable cellular automata (PCA). The proposed architecture has the advantage of high regularity and a reduced latency based on combining the characteristics of the irreducible AOP and PCA. The proposed architecture can be used to implement modular exponentiation, division, and inversion architectures.