作者: Xiaoqiang Zhang , Ning Wu , Lidong Lan , Yaoping Liu
DOI: 10.1109/ICIEA.2015.7334149
关键词: Set (abstract data type) 、 GF(2) 、 Constant (mathematics) 、 Computational complexity theory 、 Common subexpression elimination 、 Algorithm 、 Greedy algorithm 、 Arithmetic 、 Partial redundancy elimination 、 Matrix multiplication 、 Mathematics
摘要: In this work, a low-delay common subexpression elimination (LDCSE) algorithm is proposed. Unlike the previous (CSE) algorithms, which mostly focus on area, aim of LDCSE to optimize both area and delays in hardware implementations constant matrix multiplication over GF(2m). A lower computational complexity gate-level delay computing method proposed compute according transformed matrices. The new CSE employs greedy search set subexpressions with minimal area-delay-product (ADP). Experimental results have shown that achieves smaller ADP compared works.