Download the full-sized PDF of Stochastic Computational Approaches for the Reliability Evaluation of Nanoelectronic CircuitsDownload the full-sized PDF



Permanent link (DOI):


Export to: EndNote  |  Zotero  |  Mendeley


This file is in the following communities:

Graduate Studies and Research, Faculty of


This file is in the following collections:

Theses and Dissertations

Stochastic Computational Approaches for the Reliability Evaluation of Nanoelectronic Circuits Open Access


Other title
CMOS Scaling
IC Reliability
Type of item
Degree grantor
University of Alberta
Author or creator
Chen, Hao
Supervisor and department
Han, Jie (Department of Electrical and Computer Engineering)
Examining committee member and department
Han, Jie (Department of Electrical and Computer Engineering)
Zuo, Ming J. (Department of Mechanical Engineering)
Cockburn, Bruce F. (Department of Electrical and Computer Engineering)
Department of Electrical and Computer Engineering
Micro-Electro-Mechanical Systems (MEMS) and Nanosystems
Date accepted
Graduation date
Master of Science
Degree level
Reliability is fast becoming a major concern due to the nanometric scaling of CMOS technology. This thesis work initially presents novel computational models based on stochastic computation; in these models, probabilities are encoded in the statistics of random binary bit streams. A computational approach using the stochastic models is then proposed for the reliability evaluation of logic circuits. As it takes into account signal correlations and evaluates the joint reliability of multiple outputs, this approach accurately determines the reliability of a circuit; its precision is only limited by the random fluctuations inherent in the representation of the random binary bit streams. The proposed stochastic approach has a linear computational complexity and is therefore scalable for large circuit analysis. Extensive simulation results demonstrate the accuracy, scalability and execution simplicity of the proposed approach.
Permission is hereby granted to the University of Alberta Libraries to reproduce single copies of this thesis and to lend or sell such copies for private, scholarly or scientific research purposes only. Where the thesis is converted to, or otherwise made available in digital form, the University of Alberta will advise potential users of the thesis of these terms. The author reserves all other publication and other rights in association with the copyright in the thesis and, except as herein before provided, neither the thesis nor any substantial portion thereof may be printed or otherwise reproduced in any material form whatsoever without the author's prior written permission.
Citation for previous publication

File Details

Date Uploaded
Date Modified
Audit Status
Audits have not yet been run on this file.
File format: pdf (Portable Document Format)
Mime type: application/pdf
File size: 1477566
Last modified: 2015:10:12 14:39:16-06:00
Filename: Chen_Hao_Spring 2012.pdf
Original checksum: 001df6595d29492d79c4c2f8ce6dada4
Well formed: false
Valid: false
Status message: Unexpected error in findFonts java.lang.ClassCastException: edu.harvard.hul.ois.jhove.module.pdf.PdfSimpleObject cannot be cast to edu.harvard.hul.ois.jhove.module.pdf.PdfDictionary offset=2615
Page count: 106
Activity of users you follow
User Activity Date