Cost-driven optimization of repair strategies for tolerating defective crosspoints in NanoFabric
"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"--Abstract, page iii.
Drewniak, James L.
Electrical and Computer Engineering
M.S. in Computer Engineering
University of Missouri--Rolla
vi, 55 pages
© 2006 Shanrui Zhang, All rights reserved.
Thesis - Citation
Cost effectiveness -- Mathematical models
Nanostructured materials -- Maintenance and repair
Print OCLC #
Link to Catalog Record
Full-text not available: Request this publication directly from Missouri S&T Library or contact your local library.http://merlin.lib.umsystem.edu/record=b5789431~S5
Zhang, Shanrui, "Cost-driven optimization of repair strategies for tolerating defective crosspoints in NanoFabric" (2006). Masters Theses. 3869.
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