NDLI: Exploiting correlation in stochastic circuit design

Content Provider	IEEE Xplore Digital Library
Author	Alaghi, A. Hayes, J.P.
Copyright Year	2013
Description	Author affiliation: Dept. of Electr. Eng. & Comput. Sci., Univ. of Michigan, Ann Arbor, MI, USA (Alaghi, A.; Hayes, J.P.)
Abstract	Stochastic computing (SC) is a re-emerging computing paradigm which enables ultra-low power and massive parallelism in important applications like real-time image processing. It is characterized by its use of pseudo-random numbers implemented by 0-1 sequences called stochastic numbers (SNs) and interpreted as probabilities. Accuracy is usually assumed to depend on the interacting SNs being highly independent or uncorrelated in a loosely specified way. This paper introduces a new and rigorous SC correlation (SCC) measure for SNs, and shows that, contrary to intuition, correlation can be exploited as a resource in SC design. We propose a general framework for analyzing and designing combinational circuits with correlated inputs, and demonstrate that such circuits can be significantly more efficient and more accurate than traditional SC circuits. We also provide a method of analyzing stochastic sequential circuits, which tend to have inherently correlated state variables and have proven very hard to analyze.
Starting Page	39
Ending Page	46
File Size	1028603
Page Count	8
File Format	PDF
ISBN	9781479929870
DOI	10.1109/ICCD.2013.6657023
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2013-10-06
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Correlation Logic gates Tin Generators Vectors Multiplexing Standards stochastic circuit design Stochastic computing signal correlation low-power design
Content Type	Text
Resource Type	Article

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