Masters Theses
Abstract
"With the recent development of nanoscale materials and assembly techniques, it is envisioned to build high-density computational systems in nanometer scale which have many advantages, such as area, power and speed, over current CMOS-based circuits and systems. High-density systems consisting of nanometer-scale elements are likely to have many imperfections; thus, defect-tolerance is considered as one of the most significant challenges. In this thesis, we evaluate a few repair algorithms for tolerating defective crosspoints in NanoFabric and estimate efficiency and cost-effectiveness of each algorithm. Also, for a given design and manufacturing environment, we propose a method to obtain the optimal solution by considering the area overhead, repair time overhead and reconfiguration cost. Various probabilistic parameters are applied to the proposed cost-driven optimization model with the flexibility to match different design and manufacturing process as well"--Abstract, page iii.
Advisor(s)
Choi, Minsu
Committee Member(s)
Drewniak, James L.
Al-Assadi, Waleed
Department(s)
Electrical and Computer Engineering
Degree Name
M.S. in Computer Engineering
Publisher
University of Missouri--Rolla
Publication Date
Spring 2006
Pagination
vi, 55 pages
Note about bibliography
Includes bibliographical references (pages 50-54).
Rights
© 2006 Shanrui Zhang, All rights reserved.
Document Type
Thesis - Restricted Access
File Type
text
Language
English
Subject Headings
Cost effectiveness -- Mathematical modelsMathematical optimizationNanostructured materials -- Maintenance and repair
Thesis Number
T 8958
Print OCLC #
85250340
Recommended Citation
Zhang, Shanrui, "Cost-driven optimization of repair strategies for tolerating defective crosspoints in NanoFabric" (2006). Masters Theses. 3869.
https://scholarsmine.mst.edu/masters_theses/3869
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