a minimal-cost inherent-feedback approach for low-power mrf-based logic gates

The markov random field (mrf) theory has been accepted as a highly effective framework for designing noisetolerant nanometer digital vlsi circuits. in mrfbased design, proper feedback lines are used to control noise and keep the circuits in their valid states. however, this methodology has encountered two major problems that have limited the application of highly noise immune mrfbased circuits. first, excessive hardware overhead that imposes a great cost, power consumption and propagation delay on the circuits and second, separate implementation of feedback lines that adds further delay to the circuits. in this paper, we propose a novel approach for minimalcost inherentfeedback implementation of lowpower mrfbased logic gates. the simulation results, which are based on 32nm bsim4 models, demonstrate that besides excellent noise immunity of the proposed method, it has the least propagation delay in comparison with all of the previously reported mrfbased gates due to its inherent feedbacks. in addition, the proposed method outperforms competing ones, which have comparable noise immunity, in other circuit metrics like cost and power consumption. specifically, the proposed method achieves at least 18%, 29%, and 39% reductions in cost, delay and power consumption with considerable noise immunity improvement compared with competing methods.