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 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 microscale 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.