A New Carry Look-Ahead Adder Architecture Optimized for Speed and Energy

IF 2.6 3区 工程技术 Q2 COMPUTER SCIENCE, INFORMATION SYSTEMS
Padmanabhan Balasubramanian, Douglas L. Maskell
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Abstract

We introduce a new carry look-ahead adder (NCLA) architecture that employs non-uniform-size carry look-ahead adder (CLA) modules, in contrast to the conventional CLA (CCLA) architecture, which utilizes uniform-size CLA modules. We adopted two strategies for the implementation of the NCLA. Our novel approach enables improved speed and energy efficiency for the NCLA architecture compared to the CCLA architecture without incurring significant area and power penalties. Various adders were implemented to demonstrate the advantages of NCLA, ranging from the slower ripple carry adder to the widely regarded fastest parallel-prefix adder viz. the Kogge–Stone adder, and their performance metrics were compared. The 32-bit addition was used as an example, with the adders implemented using a semi-custom design method and a 28 nm CMOS standard cell library. Synthesis results show that the NCLA architecture offers substantial improvements in design metrics compared to its high-speed counterparts. Specifically, an NCLA achieved (i) a 14.7% reduction in delay and a 13.4% reduction in energy compared to an optimized CCLA, while occupying slightly more area; (ii) a 42.1% reduction in delay and a 58.3% reduction in energy compared to a conditional sum adder, with an 8% increase in the area; (iii) a 14.7% reduction in delay and a 37.7% reduction in energy compared to an optimized carry select adder, while requiring 37% less area; and (iv) a 20.2% reduction in energy and a 55.4% reduction in area compared to the Kogge–Stone adder.
优化速度和能耗的新型前向携带加法器架构
我们介绍了一种新的进位前瞻加法器(NCLA)架构,它采用了非均匀尺寸的进位前瞻加法器(CLA)模块,而传统的CLA(CCLA)架构则采用了均匀尺寸的CLA模块。我们采用了两种策略来实现 NCLA。与 CCLA 架构相比,我们的新方法提高了 NCLA 架构的速度和能效,同时不会产生明显的面积和功耗损失。为了展示 NCLA 的优势,我们实现了各种加法器,从较慢的纹波进位加法器到被广泛认为最快的并行前缀加法器(即 Kogge-Stone 加法器),并对它们的性能指标进行了比较。以 32 位加法器为例,使用半定制设计方法和 28 纳米 CMOS 标准单元库实现了加法器。合成结果表明,与高速加法器相比,NCLA 架构在设计指标上有很大改进。具体来说,与优化的 CCLA 相比,NCLA (i) 实现了 14.7% 的延迟降低和 13.4% 的能量降低,但所占面积略大;(ii) 与条件和加法器相比,实现了 42.1% 的延迟降低和 58.3% 的能量降低,但所占面积增加了 8%;(iii) 实现了 14.7% 的延迟降低和 37.4% 的能量降低,但所占面积略大。(iv) 与 Kogge-Stone 加法器相比,能量减少了 20.2%,面积减少了 55.4%。
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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来源期刊
Electronics
Electronics Computer Science-Computer Networks and Communications
CiteScore
1.10
自引率
10.30%
发文量
3515
审稿时长
16.71 days
期刊介绍: Electronics (ISSN 2079-9292; CODEN: ELECGJ) is an international, open access journal on the science of electronics and its applications published quarterly online by MDPI.
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