速度和面积效率高的LNS算法单元的FXP加法器和乘法器分析

R. C. Ismail, Siti Zarina Md Naziri, S. Murad, J. N. Coleman
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引用次数: 2

摘要

本文描述了在基于32位系统的新型LNS中实现的硬件单元体系结构的选择。LNS的乘法和除法功能的实现只需要一个FXP加法器,而LNS的加法和减法功能则由多个存储器、FXP加法器和其他支持逻辑组成。因此,在选择最佳的FXP加法器和乘法器时,每个算法都使用基于32位系统的Faraday 0.18 μm CMOS技术的Synopsys Design Compiler进行功能验证和合成。选择最坏情况延迟和硅面积两种性能度量作为评价参数。从进行的分析研究来看,CLA/CSLA加法器和Booth重新编码的Wallace树乘法器是系统中应用的最佳FXP加法器和乘法器块,因为它们是最快的设计。使用这些块,LNS系统的合成对加法和减法产生大约7.10 ns的临界延迟,对乘法和除法产生大约1.16 ns的临界延迟。完整的LNS架构总面积为599,871 μm2,是ELM之前设计的LNS架构面积的65%。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Analysis of FXP adders and multipliers for speed- and area-efficient LNS arithmetic unit
This paper portrays the selection of hardware unit architectures to be implemented in the new LNS based on a 32bit system. The implementations of the LNS multiply and divide only require a FXP adder, while the LNS addition and subtraction function comprised of several memories, FXP adders and multipliers together with other supporting logics. Thus, in choosing the best FXP adders and multipliers, each of the arithmetic is functionally verified and synthesised using Synopsys Design Compiler in Faraday 0.18 μm CMOS technology based on a 32-bit system. Two types of performance measurement, which are the worst-case delay and the silicon area, are chosen as the evaluation arguments. From conducted analytical studies, the CLA/CSLA adder and Booth recoded with Wallace tree multiplier were the best FXP adder and multiplier blocks to be applied in the system since they were the fastest designs. Using these blocks, the synthesis of the LNS system produced an approximately 7.10 ns of critical delay for addition and subtraction, and solely 1.16 ns for multiplication and division. The total area for a complete LNS architecture was 599,871 μm2, in which 65% the size of previously designed LNS architecture of ELM.
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