A study of MRF-based circuit implementation

Probabilistic computing provides a new approach towards building fault-tolerant systems. In a fully digital system, the logic states are considered as random variables. One can no longer expect a correct logic signal at all nodes at all times, but only that the joint probability distribution of sign...

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Main Authors: N.H., Hamid, A.R., Kermany, Z.A., Burhanudin
Format: Conference or Workshop Item
Language:English
Published: 2008
Subjects:
Online Access:http://scholars.utp.edu.my/id/eprint/422/
http://scholars.utp.edu.my/id/eprint/422/1/paper.pdf
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author N.H., Hamid
A.R., Kermany
Z.A., Burhanudin
author_facet N.H., Hamid
A.R., Kermany
Z.A., Burhanudin
author_sort N.H., Hamid
building UTP Institutional Repository
collection Online Access
description Probabilistic computing provides a new approach towards building fault-tolerant systems. In a fully digital system, the logic states are considered as random variables. One can no longer expect a correct logic signal at all nodes at all times, but only that the joint probability distribution of signal values has the highest likelihood for valid logic states. A case study on probabilistic architecture implementation based on Markov Random Field (MRF) is discussed. A comparison between MRF-based and standard CMOS-based inverters simulation results in micro-scale for both noisy and ideal conditions was performed using Cadence tools. The results show that MRF inverter is tolerant to noise as compared to the standard inverter. ©2008 IEEE.
first_indexed 2025-11-13T07:23:10Z
format Conference or Workshop Item
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institution Universiti Teknologi Petronas
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language English
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spelling oai:scholars.utp.edu.my:4222017-01-19T08:26:39Z http://scholars.utp.edu.my/id/eprint/422/ A study of MRF-based circuit implementation N.H., Hamid A.R., Kermany Z.A., Burhanudin TK Electrical engineering. Electronics Nuclear engineering Probabilistic computing provides a new approach towards building fault-tolerant systems. In a fully digital system, the logic states are considered as random variables. One can no longer expect a correct logic signal at all nodes at all times, but only that the joint probability distribution of signal values has the highest likelihood for valid logic states. A case study on probabilistic architecture implementation based on Markov Random Field (MRF) is discussed. A comparison between MRF-based and standard CMOS-based inverters simulation results in micro-scale for both noisy and ideal conditions was performed using Cadence tools. The results show that MRF inverter is tolerant to noise as compared to the standard inverter. ©2008 IEEE. 2008 Conference or Workshop Item NonPeerReviewed application/pdf en http://scholars.utp.edu.my/id/eprint/422/1/paper.pdf N.H., Hamid and A.R., Kermany and Z.A., Burhanudin (2008) A study of MRF-based circuit implementation. In: 2008 International Conference on Electronic Design, ICED 2008, 1 December 2008 through 3 December 2008, Penang. http://www.scopus.com/inward/record.url?eid=2-s2.0-63649159914&partnerID=40&md5=8bad8f1c285d2dfc50937ea59e7b8411
spellingShingle TK Electrical engineering. Electronics Nuclear engineering
N.H., Hamid
A.R., Kermany
Z.A., Burhanudin
A study of MRF-based circuit implementation
title A study of MRF-based circuit implementation
title_full A study of MRF-based circuit implementation
title_fullStr A study of MRF-based circuit implementation
title_full_unstemmed A study of MRF-based circuit implementation
title_short A study of MRF-based circuit implementation
title_sort study of mrf-based circuit implementation
topic TK Electrical engineering. Electronics Nuclear engineering
url http://scholars.utp.edu.my/id/eprint/422/
http://scholars.utp.edu.my/id/eprint/422/
http://scholars.utp.edu.my/id/eprint/422/1/paper.pdf