Digital integrated circuits: a design perspective
Digital integrated circuits: a design perspective
A new enhanced constructive decomposition and mapping algorithm
Proceedings of the 40th annual Design Automation Conference
A Probabilistic-Based Design Methodology for Nanoscale Computation
Proceedings of the 2003 IEEE/ACM international conference on Computer-aided design
Designing logic circuits for probabilistic computation in the presence of noise
Proceedings of the 42nd annual Design Automation Conference
Optimizing noise-immune nanoscale circuits using principles of Markov random fields
GLSVLSI '06 Proceedings of the 16th ACM Great Lakes symposium on VLSI
Designing MRF based error correcting circuits for memory elements
Proceedings of the conference on Design, automation and test in Europe: Proceedings
Design and implementation of cost-effective probabilistic-based noise-tolerant VLSI circuits
IEEE Transactions on Circuits and Systems Part I: Regular Papers
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As CMOS technology downscales, higher noise levels, wider threshold variation, and low supply voltage will force designers to contend with high rates of soft logical errors and many defective devices. A probabilistic design framework based on Markov random fields (MRF) has been previously proposed to address dynamic fault and noise vulnerability of ultimate digital CMOS circuitry. The idea is to use additional transistors and feedback loops to achieve significant noise immunity and ensure correct logic operations at low VDD. However, the extra reliability achieved in previously published work came at a cost of high transistor counts. In this paper, we present techniques to reduce the transistor count of larger multi-level combinational circuits built within the MRF framework by using variable sharing, implied dependence and supergates. Using these techniques we show an average reduction of approximately 28% in transistor counts over a range of combinational benchmark circuits built within the MRF framework compared to the best previously published results.