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A new common subexpression elimination algorithm with application in composite field AES S-box

机译:一种新的常见子表达消除算法应用于复合场AES S箱的应用

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Common subexpression elimination (CSE) is a critical procedure in many multiplierless implementation of DSP algorithms. The aim of CSE is dual-pronged: 1) to reduce the number of logic operators used and 2) to minimize the logic depth (critical path) of the DSP algorithm implemented in VLSI. In this work, a novel hybrid heuristic CSE algorithm that combines greedy algorithm and exhaustive search to select the best set of common subexpressions is proposed. The proposed algorithm aims at promoting area optimization in linear transformations with binary matrix multiplication. The efficiency of the proposed algorithm is demonstrated through a case study in constructing a composite field implementation of Advanced Encryption Standard (AES). Experimental results has shown that the proposed algorithm achieves an average area reduction of 44.09% as well as an average logic depth minimization of 47.55%.
机译:常见的子表达消除(CSE)是DSP算法的许多乘法实现中的一个关键程序。 CSE的目的是双推管:1)减少使用的逻辑运算符的数量和2)以最小化VLSI中实现的DSP算法的逻辑深度(临界路径)。在这项工作中,一种新颖的混合启发式CSE算法,它结合了贪婪算法和详尽的搜索来选择最佳的常见子表达式。所提出的算法旨在通过二进制矩阵乘法推广线性变换的区域优化。通过构建高级加密标准(AES)的复合场实现来证明所提出的算法的效率。实验结果表明,该算法的平均面积降低44.09%,平均逻辑深度最小化47.55%。

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