Designing energy-efficient approximate adders using parallel genetic algorithms

Approximate computing involves selectively reducing the number of transistors in a circuit to improve energy savings. Energy savings may be achieved at the cost of reduced accuracy for signal processing applications whereby constituent adder and multiplier circuits need not generate a precise output...

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Bibliographic Details
Published in:	SoutheastCon 2015 pp. 1 - 7
Main Authors:	Naseer, Adnan Aquib, Ashraf, Rizwan A., Dechev, Damian, DeMara, Ronald F.
Format:	Conference Proceeding
Language:	English
Published:	IEEE 01.04.2015
Subjects:	adder Adders approximate computing Approximation methods delay error distance Genetic algorithms inexact arithmetic units low power Mathematical model Mirrors parallel genetic algorithm parallelism power consumption power reduction process variation Sociology Statistics variable accuracy
ISSN:	1091-0050
Online Access:	Get full text
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