Cited by 40Advanced Memory and Neural ComputingCoding theory and cryptographyQuantum-Dot Cellular Automata

Resistor-logic demultiplexers for nanoelectronics based on constant-weight codes

Open access
Kuekes, Philip J, Robinett, Warren, Roth, Ron M, Seroussi, Gadiel, Snider, Gregory S, Williams, R Stanley·2006·Nanotechnology

Abstract

The voltage margin of a resistor-logic demultiplexer can be improved significantly by basing its connection pattern on a constant-weight code. Each distinct code determines a unique demultiplexer, and therefore a large family of circuits is defined. We consider using these demultiplexers for building nanoscale crossbar memories, and determine the voltage margin of the memory system based on a particular code. We determine a purely code-theoretic criterion for selecting codes that will yield memories with large voltage margins, which is to minimize the ratio of the maximum to the minimum Hamming distance between distinct codewords. For the specific example of a 64 × 64 crossbar, we discuss what codes provide optimal performance for a memory.

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Crossref · 10.1088/0957-4484/17/4/035

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Authors
Kuekes, P. J., Robinett, W., Roth, R. M., Seroussi, G., Snider, G. S., & Williams, R. S.
Affiliations
  • Hewlett-Packard (United States) (US)
  • Technion – Israel Institute of Technology (IL)
  • Mathematical Sciences Research Institute (US)
Venue
Nanotechnology
Published
2006-01-30
Volume
17
Issue
4
Pages
1052-1061
ISSN
  • 0957-4484 (ISSN-L)
  • 1361-6528
OpenAlex
W1989175497
Cited by
40
References
13
Citations by year
2023: 1 · 2021: 2 · 2020: 1 · 2018: 1 · 2017: 2 · 2016: 2 · 2015: 2 · 2014: 2 · 2013: 2 · 2012: 1
FWCI
6.07
Type
journal article
Language
en
Open access
Locations
  • Nanotechnology (publishedVersion)
  • PubMed (publishedVersion)
Funders
  • Defense Advanced Research Projects Agency
  • Advanced Research Projects Agency
Topics
  • Physical Sciences › Engineering › Electrical and Electronic Engineering › Advanced Memory and Neural Computing
  • Physical Sciences › Computer Science › Artificial Intelligence › Coding theory and cryptography
  • Physical Sciences › Computer Science › Computational Theory and Mathematics › Quantum-Dot Cellular Automata
Keywords
constant weight codes, nanoelectronics, crossbar memory, voltage margin, Hamming distance, nanoscale memory

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