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COMPUTATION OF BOOLEAN FORMULAS USING SNEAK PATHS IN CROSSBAR COMPUTING

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Date Issued:
2014
Abstract/Description:
Memristor-based nano-crossbar computing is a revolutionary computing paradigm that does away with the traditional Von Neumann architectural separation of memory and computation units. The computation of Boolean formulas using memristor circuits has been a subject of several recent investigations. Crossbar computing, in general, has also been a topic of active interest, but sneak paths have posed a hurdle in the design of pervasive general-purpose crossbar computing paradigms. In this paper, we demonstrate that sneak paths in nano-crossbar computing can be exploited to design a Boolean-formula evaluation strategy. We demonstrate our approach on a simple Boolean formula and a 1-bit addition circuit. We also conjecture that our nano-crossbar design will be an effective approach for synthesizing high-performance customized arithmetic and logic circuits.
Title: COMPUTATION OF BOOLEAN FORMULAS USING SNEAK PATHS IN CROSSBAR COMPUTING.
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Name(s): Velasquez, Alvaro, Author
Jha, Sumit, Committee Chair
University of Central Florida, Degree Grantor
Type of Resource: text
Date Issued: 2014
Publisher: University of Central Florida
Language(s): English
Abstract/Description: Memristor-based nano-crossbar computing is a revolutionary computing paradigm that does away with the traditional Von Neumann architectural separation of memory and computation units. The computation of Boolean formulas using memristor circuits has been a subject of several recent investigations. Crossbar computing, in general, has also been a topic of active interest, but sneak paths have posed a hurdle in the design of pervasive general-purpose crossbar computing paradigms. In this paper, we demonstrate that sneak paths in nano-crossbar computing can be exploited to design a Boolean-formula evaluation strategy. We demonstrate our approach on a simple Boolean formula and a 1-bit addition circuit. We also conjecture that our nano-crossbar design will be an effective approach for synthesizing high-performance customized arithmetic and logic circuits.
Identifier: CFH0004571 (IID), ucf:45163 (fedora)
Note(s): 2014-05-01
B.S.
Engineering and Computer Science, Dept. of Electrical Engineering and Computer Science
Bachelors
This record was generated from author submitted information.
Subject(s): memristor
crossbar computing
emerging technology
nanoscale computing
Persistent Link to This Record: http://purl.flvc.org/ucf/fd/CFH0004571
Restrictions on Access: campus 2019-04-01
Host Institution: UCF

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