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Author Gojman, Benjamin ♦ Rachlin, Eric ♦ Savage, John E
Source ACM Digital Library
Content type Text
Publisher Association for Computing Machinery (ACM)
File Format PDF
Copyright Year ©2005
Language English
Subject Domain (in DDC) Computer science, information & general works ♦ Data processing & computer science
Subject Keyword Addressing schemes ♦ Coupon collector problem ♦ Nanotechnology ♦ Nanowire crossbars
Abstract A key challenge facing nanotechnologies is learning to control uncertainty introduced by stochastic self-assembly. In this article, we explore architectural and manufacturing strategies to cope with this uncertainty when assembling nanoarrays, crossbars composed of two orthogonal sets of parallel nanowires (NWs) that are differentiated at their time of manufacture. NW deposition is a stochastic process and the NW encodings present in an array cannot be known in advance. We explore the reliable construction of memories from stochastically assembled arrays. This is accomplished by describing several families of NW encodings and developing strategies to map external binary addresses onto internal NW encodings using programmable circuitry. We explore a variety of different mapping strategies and develop probabilistic methods of analysis. This is the first article that makes clear the wide range of choices that are available.
ISSN 15504832
Age Range 18 to 22 years ♦ above 22 year
Educational Use Research
Education Level UG and PG
Learning Resource Type Article
Publisher Date 2005-07-01
Publisher Place New York
e-ISSN 15504840
Journal ACM Journal on Emerging Technologies in Computing Systems (JETC)
Volume Number 1
Issue Number 2
Page Count 36
Starting Page 73
Ending Page 108

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Source: ACM Digital Library