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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| Format: | Conference or Workshop Item |
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2008
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| Online Access: | 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 |
| Summary: | 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.
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