relation: https://khub.utp.edu.my/scholars/2/
title: Probabilistic computing with future deep sub-micrometer devices : A modelling approach
creator: Hamid, N.H.
creator: Murray, A.F.
creator: Laurenson, D.
creator: Roy, S.
creator: Cheng, B.
description: An approach is described that investigates the potential of probabilistic "neural" architectures for computation with Deep Sub-Micrometer (DSM) MOSFETs. Initially, noisy MOSFET models are based upon those for a 0.35μm MOS technology with an exaggerated 1/f characteristic. We explore the manifestation of the 1/f characteristic at the output of 2-quadrant multiplier when the key n-channel MOSFETs are replaced by "noisy" MOSFETs. The stochastic behavior of this noisy multiplier has been mapped on to a software (Matlab) model of a Continuous Restricted Boltzmann Machine (CRBM) - an analogue-input stochastic computing structure. Simulation of this DSM CRBM implementation shows little degradation from that of a "perfect" CRBM. This paper thus introduces a methodology for a form of "technology-downstreaming" and highlights the potential of probabilistic architectures for DSM computation. © 2005 IEEE.
date: 2005
type: Conference or Workshop Item
type: PeerReviewed
identifier:   Hamid, N.H. and Murray, A.F. and Laurenson, D. and Roy, S. and Cheng, B.  (2005) Probabilistic computing with future deep sub-micrometer devices : A modelling approach.  In: UNSPECIFIED.     
relation: https://www.scopus.com/inward/record.uri?eid=2-s2.0-42949129603&doi=10.1109%2fISCAS.2005.1465136&partnerID=40&md5=20e8c5d6943a9041fa79b586befa3b2a
relation: 10.1109/ISCAS.2005.1465136
identifier: 10.1109/ISCAS.2005.1465136