ELE 523E: Computational Nanoelectronics
Contents 
Announcements
 Nov. 16th The second homework has been posted that is due 30/11/2020 before 13:30.
 Nov. 2nd The first homework has been posted that is due 16/11/2020 before 13:30.
 Oct. 19th Lectures are given online using Zoom that can be accessed via Ninova.
Overview
As current CMOS based technologies are approaching their anticipated limits, emerging nanotechnologies and new computing paradigms are expected to be used in future electronic circuits. This course overviews nanoelectronic circuits in a comparison with those of conventional CMOSbased. Deterministic and probobalistic emerging computing models as well as related algorithms and CAD tools are investigated. Regarding the interdisciplinary nature of emerging technologies, this course is appropriate for graduate students in different majors including electronics engineering, control engineering, computer science, applied physics, and mathematics. No prior course is required; only basic (collegelevel) knowledge in circuit design and mathematics is assumed. Topics that are covered include:
 Circuit elements and devices in computational nanoelectronics (in comparison with CMOS) including nanocrossbar and memristor switches, reversible quantum gates, approximate circuits and systems, and emerging transistors.
 Introduction of emerging computing models and algorithms in circuit level.
 Analysis and synthesis of deterministic and probabilistic computing paradigms.
 Performance of the computing models regarding area, power, speed, and accuracy.
 Uncertainty and faults: fault analysis and tolerance techniques for permanent and transient faults.
Syllabus
Instructor


Grading


Reference Books


Policies


Weekly Course Plan
Date

Topic

Week 1, 19/10/2020  Introduction 
Week 2, 26/10/2020  Overview of emerging nanoscale devices and switches 
Week 3, 2/11/2020  Reversible quantum computing, reversible circuit analysis and synthesis 
Week 4, 9/11/2020  Molecular computing with individual molecules and DNA strand displacement 
Week 5, 16/11/2020  Computing and logic synthesis with switching nano arrays including memristor arrays 
Week 6, 23/11/2020  Probabilistic/Stochastic and approximate computing 
Week 7, 30/11/2020  Probabilistic/Stochastic and approximate computing 
Week 8, 7/12/2020  Defects, faults, errors, and their analysis 
Week 9, 14/12/2020  Permanent and transient (concurrent) fault tolerance: error detecting and correcting 
Week 10, 21/12/2020  Student presentations, Overview of homework solutions, presentation schedule, and overview of final project 
Week 11, 28/12/2020  Student presentations 
Week 12, 4/1/2021  Student presentations 
Week 13, 11/1/2021  Student presentations 
Week 14, 18/1/2021  Final project questions and answers 
Course Materials
Lecture Slides  Lecture Slides  Homeworks  Presentations & Exams & Projects 

W1: Introduction  W6W7: Probabilistic and Approximate Computing  Homework 1  
W2: Emerging Computing  Homework 2  
W3: Reversible Quantum Computing  
W4: Molecular Computing  
W5: Nanoarray based Computing 