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
Published: 2008
Subjects:
Online Access:http://www.scopus.com/inward/record.url?eid=2-s2.0-63649159914&partnerID=40&md5=8bad8f1c285d2dfc50937ea59e7b8411
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http://eprints.utp.edu.my/422/1/paper.pdf
id utp-422
recordtype eprints
spelling utp-4222017-01-19T08:26:39Z 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 http://eprints.utp.edu.my/422/1/paper.pdf http://www.scopus.com/inward/record.url?eid=2-s2.0-63649159914&partnerID=40&md5=8bad8f1c285d2dfc50937ea59e7b8411 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://eprints.utp.edu.my/422/
institution Universiti Teknologi Petronas
Universiti Teknologi Petronas
repository_type Digital Repository
institution_category Local University
building UTP Repository
collection Online Access
topic TK Electrical engineering. Electronics Nuclear engineering
spellingShingle TK Electrical engineering. Electronics Nuclear engineering
N.H., Hamid
A.R., Kermany
Z.A., Burhanudin
A study of MRF-based circuit implementation
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.
format Conference or Workshop Item
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
title A study of MRF-based circuit implementation
title_short 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_sort study of mrf-based circuit implementation
publishDate 2008
url http://www.scopus.com/inward/record.url?eid=2-s2.0-63649159914&partnerID=40&md5=8bad8f1c285d2dfc50937ea59e7b8411
http://www.scopus.com/inward/record.url?eid=2-s2.0-63649159914&partnerID=40&md5=8bad8f1c285d2dfc50937ea59e7b8411
http://eprints.utp.edu.my/422/1/paper.pdf
first_indexed 2018-09-08T10:01:55Z
last_indexed 2018-09-08T10:01:55Z
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