Optimized Parity-Based Error Detection and Correction Methods for Residue Number System

Author:

Armand Adib1,Timarchi Somayeh1ORCID,Mahdavi Hossein1

Affiliation:

1. Department of Electrical Engineering, Shahid Beheshti University, G.C., Tehran, Iran

Abstract

Residue Number System (RNS) has been extensively used in high-speed applications. It inherits the advantages of parallelism and modularity, which lead to fault tolerance property. Since carry propagation is limited to each module in RNS, errors do not propagate inter-moduli. Indeed, due to the restriction in carry propagation and fault tolerance property, RNS can be promisingly fast and reliable that makes it a favorable encoding for the digital systems which are highly prone to noise like communication channels. By adding some extra moduli, the so-called redundant RNS (RRNS) is gained. Although several methods around RRNS have already been proposed in the literature, the structures without need for extra moduli have not been introduced yet. This paper addresses three Error Detection and Correction (EDC) schemes for RNS based on parity structures. Using these techniques, the low power fault-tolerant RNS methods with low complexity are presented. Synthesis results using 180[Formula: see text]nm CMOS standard cell library show that the proposed architectures for the three-moduli set [Formula: see text] are in average 17%, 52% and 44% more efficient than the conventional RRNS in terms of delay, power consumption, and area overhead, respectively, without losing the EDC capability.

Publisher

World Scientific Pub Co Pte Lt

Subject

Electrical and Electronic Engineering,Hardware and Architecture,Electrical and Electronic Engineering,Hardware and Architecture

Cited by 1 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3