Title
Systolic Gaussian Normal Basis Multiplier Architectures Suitable for High-Performance Applications
Abstract
Normal basis multiplication in finite fields is vastly utilized in different applications, including error control coding and the like due to its advantageous characteristics and the fact that squaring of elements can be obtained without hardware complexity. In this brief, we present decomposition algorithms to develop novel systolic structures for digit-level Gaussian normal basis multiplication over GF . The proposed architectures are suitable for high-performance applications, which require fast computations in finite fields with high throughputs. We also present the results of our application-specific integrated circuit synthesis using a 65-nm standard-cell library to benchmark the effectiveness of the proposed systolic architectures. The presented architectures for multiplication can result in more efficient and high-performance VLSI systems.
Year
DOI
Venue
2015
10.1109/TVLSI.2014.2345774
VLSI) Systems, IEEE Transactions
Keywords
Field
DocType
cryptography,gaussian normal basis (gnb),security,systolic architecture,application specific integrated circuits,hardware,gaussian processes,very large scale integration,computer architecture
Finite field,Computer science,Multiplier (economics),Electronic engineering,Normal basis,Application-specific integrated circuit,Multiplication,Gaussian process,Integrated circuit,Very-large-scale integration
Journal
Volume
Issue
ISSN
PP
99
1063-8210
Citations 
PageRank 
References 
6
0.45
21
Authors
4
Name
Order
Citations
PageRank
Reza Azarderakhsh138945.65
Mehran Mozaffari Kermani2221.76
Siavash Bayat Sarmadi3759.33
Chiou-Yng Lee443441.34