Abstract

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.

Notes

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Thesis Completion

2014

Semester

Spring

Advisor

Jha, Sumit Kumar

Degree

Bachelor of Science (B.S.)

College

College of Engineering and Computer Science

Department

Electrical Engineering and Computer Science

Subjects

Dissertations, Academic -- Engineering and Computer Science; Engineering and Computer Science -- Dissertations, Academic

Format

PDF

Identifier

CFH0004571

Language

English

Access Status

Open Access

Length of Campus-only Access

5 years

Document Type

Honors in the Major Thesis

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