ELE 523E: Computational Nanoelectronics

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Contents

Announcements

  • Jan. 14th To see your final grades click here.
  • Jan. 9th Due to bad weather conditions, the project deadline is extended to Monday 23:59, 9/1/2017 for softcopies via email, and Wednesday 17:30, 11/1/2017 for hardcopies.
  • Jan. 6th Some clarifications have been added to the the final project.
  • Dec. 12th The final project has been posted that is due 9/1/2017 before 13:30.
  • Dec. 12th Presentation rules and schedules have been posted.
  • Nov. 20th The fourth homework has been posted that is due 5/12/2016 before 13:30.
  • Oct. 30th The third homework has been posted that is due 21/11/2016 before 13:30.
  • Oct. 17th The second homework has been posted that is due 31/10/2016 before 13:30.
  • Oct. 2nd The first homework has been posted that is due 17/10/2016 before 13:30.
  • Sept. 19th The course is given in the room Z2 (ground floor), EEF.

Overview

As current CMOS based technologies are approaching their anticipated limits, emerging nanotechnologies are expected to replace their role in electronic circuits. This course overviews nanoelectronic circuits in a comparison with those of conventional CMOS-based. Deterministic and probobalistic emerging computing models 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 (college-level) 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 nano-crossbar switches, reversible quantum gates, approximate circuits and systems, and emerging transistors.
  • Introduction of emerging computing models in circuit level.
  • Analysis and synthesis of deterministic and probabilistic models.
  • 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

ELE 523E: Computational Nanoelectronics, CRN: 15371, Mondays 13:30-16:30, Room: Z2 (Ground Floor-EEF), Fall 2016.
Instructor

Mustafa Altun

  • Email: altunmus@itu.edu.tr
  • Tel: 02122856635
  • Office hours: 14:00 – 15:00 on Tuesdays in Room:3005, EEF (or stop by my office any time)
Grading
  • Homework: 20%
    • 4 homeworks (5% each)
  • Midterm Exam: 20%
    • The midterm is during the lecture time on 5/12/2016.
  • Presentation: 20%
    • Presentations are made individually or in groups depending on class size.
    • Presentation topics will be posted.
  • Final Project: 40%
Reference Books
  • Waser, R. (2012). Nanoelectronics and information technology. John Wiley & Sons.
  • Iniewski, K. (2010). Nanoelectronics: nanowires, molecular electronics, and nanodevices. McGraw Hill Professional.
  • Stanisavljević, M., Schmid, M, Leblebici, Y. (2010). Reliability of Nanoscale Circuits and Systems: Methodologies and Circuit Architectures, Springer.
  • Adamatzky, A., Bull, L., Costello, B. L., Stepney, S., Teuscher, C. (2007). Unconventional Computing, Luniver Press.
  • Zomaya, Y. (2006). Handbook of Nature-Inspired and Innovative Computing: Integrating Classical Models with Emerging Technologies, Springer.
  • Yanushkevich, S., Shmerko, V., Lyshevski, S. (2005). Logic Design of NanoICs, CRC Press.
Policies
  • Homeworks are due at the beginning of class. Late homeworks will be downgraded by 20% for each day passed the due date.
  • Collaboration is permitted and encouraged for homeworks, but each collaborator should turn in his/her own answers.
  • The midterm is in closed-notes and closed-books format.
  • Collaboration is not permitted for the final project.

Weekly Course Plan

Date
Topic
Week 1, 19/9/2016 Introduction
Week 2, 26/9/2016 Overview of emerging nanoscale devices and switches
Week 3, 3/10/2016 Reversible quantum computing, reversible circuit analysis and synthesis
Weeks 4, 10/10/2016 Molecular computing with individual molecules and DNA strand displacement
Weeks 5, 17/10/2016 Computing and logic synthesis with switching nano arrays
Week 6, 24/10/2016 Probabilistic/Stochastic computing with random bit streams and probabilistic switches
Weeks 7, 31/10/2016 Approximate computing and Bayesian networks
Week 8, 7/11/2016 HOLIDAY, no class
Week 9, 14/11/2016 Defects, faults, errors, and their analysis
Weeks 10, 21/11/2016 Fault tolerance in nano-crossbar arrays
Week 11, 28/11/2016 Transient fault tolerance: error detecting and correcting
Week 12, 5/12/2016 MIDTERM
Weeks 13, 12/12/2016 Overview of the midterm, the presentation schedule, and the final project
Weeks 14, 19/12/2016 Student presentations
Weeks 15, 26/12/2016 Student presentations

Course Materials

Lecture Slides Lecture Slides Homeworks Presentations & Exams & Projects
W1: Introduction W6: Probabilistic Computing Homework 1 Student Presentations
W2: Emerging Computing W7: Approximate Computing & Bayesian Networks Homework 2 Midterm
W3: Reversible Quantum Computing W9: Faults and Their Analysis Homework 3 Final Project
W4: Molecular Computing W10-W11: Fault Tolerance for Nano Electronics Homework 4
W5: Nanoarray based Computing
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