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Author Lingamneni, A. ♦ Enz, C. ♦ Palem, K. ♦ Piguet, C.
Sponsorship IEEE Electron Dev. Soc.
Source IEEE Xplore Digital Library
Content type Text
Publisher Institute of Electrical and Electronics Engineers, Inc. (IEEE)
File Format PDF
Copyright Year ©2014
Language English
Subject Domain (in DDC) Natural sciences & mathematics ♦ Physics ♦ Electricity & electronics ♦ Technology ♦ Engineering & allied operations ♦ Applied physics
Subject Keyword Signal to noise ratio ♦ Adders ♦ Computer architecture ♦ Hardware ♦ Vectors ♦ Energy consumption ♦ Delays
Abstract We present inexact Fast Fourier Transform (FFT) accelerators that can realize energy-accuracy tradeoffs taking advantage of various inexact design techniques in conjunction with a machine-learning inspired waveform shaping technique. A 65nm ASIC test chip with several inexact FFTs shows a reduction in datapath energy consumption upto 75% and the total energy consumption upto 45% (a factor of 4X and 1.8X respectively) when compared to a conventional exact FFT at marginal Signal-to-Noise Ratio (SNR) losses between 0.0002 dB to 1 dB.
Description Author affiliation: Inst. of Microeng. (IMT), EPFL, Neuchatel, Switzerland (Enz, C.) || Centre Suisse d'Electron. et de Microtech. (CSEM) SA, Neuchatel, Switzerland (Piguet, C.) || Dept. of Electr. & Comput. Eng., Rice Univ., Houston, TX, USA (Lingamneni, A.; Palem, K.)
ISBN 9781479932863
Educational Role Student ♦ Teacher
Age Range above 22 year
Educational Use Research ♦ Reading
Education Level UG and PG
Learning Resource Type Article
Publisher Date 2014-09-15
Publisher Place USA
Rights Holder Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Size (in Bytes) 13.41 MB
Page Count 4
Starting Page 1
Ending Page 4


Source: IEEE Xplore Digital Library