Efficient parity prediction in FPGA

S. Ko, T. Xia, Jien-Chung Lo
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引用次数: 1

Abstract

We propose, in this paper, XOR-based decomposition methods to implement parity prediction circuits efficiently in field programmable gate arrays (FPGAs). The first proposed method is an extension of the Shannon's expansion theorem. Such extension enables us to force decomposing the parity prediction circuit into appropriate size sub-circuits. The second proposed method is based on the Reed-Muller canonical form that transforms AND/OR Boolean functions to AND/XOR functions. The XOR relation enables us to find more efficient grouping for the parity prediction function. The MCNC benchmark circuits are used to demonstrate the effectiveness of the proposed techniques.
FPGA中有效的奇偶预测
在本文中,我们提出了基于xor的分解方法来有效地在现场可编程门阵列(fpga)中实现奇偶预测电路。第一个被提出的方法是香农展开定理的扩展。这种扩展使我们能够将奇偶预测电路强制分解成适当大小的子电路。第二种建议的方法是基于Reed-Muller规范形式,将与/或布尔函数转换为与/异或函数。异或关系使我们能够为奇偶预测函数找到更有效的分组。通过MCNC基准电路验证了所提技术的有效性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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