Paper Title

Design of an enhanced fault tolerant ALU using hardware redundancy technique for low power applications

Authors

Mary Swarna Latha Gade , K Sreenivasa Ravi

Keywords

fault tolerant ALU, Tripler Modular Redundancy, Clock gating, VHDL

Abstract

The recent advances in the semiconductor industry have led in the development of more complex components and systems’ architectures by allowing fabrication processes to place a higher number of transistors per area of the silicon die .Thus the manufacturing process are less and less reliable. Therefore we need to build systems that will acknowledge the existence of faults and incorporate techniques to tolerate these faults while still delivering an acceptable level of service. In this paper, we design fault tolerant 16-bit Arithmetic and Logical Unit (ALU) circuit using a hard ware redundancy technique namely TMR (Triple Modular Redundancy) technique in which three modules are replicated and given to voter logic. Also we design ALU to achieve less power consumption and highly reliable using Clock Gating. The software used is XilinxISE

How To Cite

"Design of an enhanced fault tolerant ALU using hardware redundancy technique for low power applications ", IJSDR - International Journal of Scientific Development and Research (www.IJSDR.org), ISSN:2455-2631, Vol.2, Issue 5, page no.422 - 425, May-2017, Available :https://ijsdr.org/papers/IJSDR1705076.pdf

Issue

Volume 2 Issue 5, May-2017

Pages : 422 - 425

Other Publication Details

Paper Reg. ID: IJSDR_170451

Published Paper Id: IJSDR1705076

Downloads: 000347028

Research Area: Engineering

Country: Hyderarbad, Telangana, India

Published Paper PDF: https://ijsdr.org/papers/IJSDR1705076

Published Paper URL: https://ijsdr.org/viewpaperforall?paper=IJSDR1705076

About Publisher

ISSN: 2455-2631 | IMPACT FACTOR: 9.15 Calculated By Google Scholar | ESTD YEAR: 2016

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 9.15 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

Publisher: IJSDR(IJ Publication) Janvi Wave

Article Preview

academia
publon
sematicscholar
googlescholar
scholar9
maceadmic
Microsoft_Academic_Search_Logo
elsevier
researchgate
ssrn
mendeley
Zenodo
orcid
sitecreex