DocumentCode
2943328
Title
A new probabilistic design methodology of nanoscale digital circuits
Author
Garcia-Leyva, Lancelot ; Calomarde, Antonio ; Moll, Francesc ; Rubio, Antonio
Author_Institution
Fac. de Cienc. Basicas, Ing. y Tecnol., Univ. Autonoma de Tlaxcala, Apizaco, Mexico
fYear
2011
fDate
Feb. 28 2011-March 2 2011
Firstpage
190
Lastpage
193
Abstract
The continuing trends of device scaling and increase in complexity towards terascale system on chip level of integration are putting growing difficulties into several areas of design. The intrinsic variability problem is aggravated by variations caused by the difficulties of controlling Critical Dimension (CD) in nanometer technologies. The effect of variability is the difficulty in predicting and designing circuits with precise device and circuit characteristics. In this paper, a new logic design probabilistic methodology oriented to emerging and beyond CMOS in new technologies is presented, to improve tolerance to errors due to noise, defects or manufacturability errors in single gates, logic blocks or functional units. The methodology is based on the coherence of the input redundant ports using Port Redundancy (PR) and complementary redundant ports. Simulations show an excellent performance of our approach in the presence of large random noise at the inputs.
Keywords
CMOS digital integrated circuits; integrated circuit design; logic gates; random noise; redundancy; CMOS technology; chip level; critical dimension; device scaling; intrinsic variability problem; logic blocks; manufacturability errors; nanoscale digital circuits; port redundancy; probabilistic design; random noise; single gates; CMOS integrated circuits; Inverters; Logic gates; Noise; Probabilistic logic; Proposals; Redundancy;
fLanguage
English
Publisher
ieee
Conference_Titel
Electrical Communications and Computers (CONIELECOMP), 2011 21st International Conference on
Conference_Location
San Andres Cholula
Print_ISBN
978-1-4244-9558-0
Type
conf
DOI
10.1109/CONIELECOMP.2011.5749358
Filename
5749358
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