Title
Design and implementation of Multistage Interconnection Networks using Quantum-dot Cellular Automata
Abstract
Quantum-dot Cellular Automata (QCA) is a promising nanotechnology with ultra-small feature size and ultra-low power consumption compared with transistor-based technologies. During the past decade the QCA has been carefully studied, and it has demonstrated the ability of using quantum phenomena for implementing logical devices. Multistage Interconnection Networks (MINs) have been frequently suggested as the connection means in parallel systems. This architecture provides the maximum bandwidth to the components, and the minimum latency access to memory modules. They are generally accepted concepts in the semiconductor industry for solving problems related to on-chip communications. Although there have been a large amount of researches on MINs for parallel processing, there seems to be surprising attempts to utilize the unique characteristics of QCA for designing and implementing of MINs. In an effort to fill this gap, this paper presents the first design methodology of MINs using QCA. To demonstrate the functionality and validity of the proposed methodology, performance evaluations of MINs using QCADesigner simulator are given and analyzed.
Year
DOI
Venue
2011
10.1016/j.mejo.2011.03.004
Microelectronics Journal
Keywords
Field
DocType
network design,logical device,quantum-dot cellular automata,proposed methodology,parallel system,qcadesigner simulator,parallel processing,large amount,design methodology,nanoelectronics,multistage interconnection networks,accepted concept,chip,parallel systems,quantum dot cellular automata
Cellular automaton,Nanoelectronics,Network planning and design,Computer science,Quantum dot cellular automaton,Electronic engineering,Design methods,Multistage interconnection networks,Bandwidth (signal processing),Transistor
Journal
Volume
Issue
ISSN
42
6
Microelectronics Journal
Citations 
PageRank 
References 
11
0.87
13
Authors
4
Name
Order
Citations
PageRank
Mohammad A. Tehrani1151.73
Farshad Safaei29519.37
Mohammad Hossein Moaiyeri316822.41
keivan navi465675.05