ELE 523E

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== Overview ==
 
== Overview ==
 
As current CMOS based technologies are approaching their anticipated limits, emerging nanotechnologies are replacing 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:
 
As current CMOS based technologies are approaching their anticipated limits, emerging nanotechnologies are replacing 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:
−
Overview of nanoelectronics (in comparison with CMOS) including nano arrays, switches, and transistors.  
+
 
−
Introduction of emerging computing models in circuit level.
+
* Overview of nanoelectronics (in comparison with CMOS) including nano arrays, switches, and transistors.  
−
Analysis and synthesis of deterministic and probabilistic models.
+
* Introduction of emerging computing models in circuit level.
−
Performance of the computing models regarding area, power, speed, and accuracy.
+
* Analysis and synthesis of deterministic and probabilistic models.
−
Uncertainty and defects: defect tolerance techniques for permanent and transient errors.
+
* Performance of the computing models regarding area, power, speed, and accuracy.
 +
* Uncertainty and defects: defect tolerance techniques for permanent and transient errors.
  
 
== Syllabus ==
 
== Syllabus ==

Revision as of 13:53, 13 September 2013

Contents

Announcements

  • Sept. 12th The class is given in the room Z2 (ground level), EEF.

Overview

As current CMOS based technologies are approaching their anticipated limits, emerging nanotechnologies are replacing 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:

  • Overview of nanoelectronics (in comparison with CMOS) including nano arrays, switches, and 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 defects: defect tolerance techniques for permanent and transient errors.

Syllabus

Computational Nanoelectronics, Mondays 13:30-16:30, Room: Z2 (EEF), Fall 2013.
Instructor

Mustafa Altun

  • Email: altunmus@itu.edu.tr
  • Tel: 02122856635
  • Office hours: 13:30 – 15:00 on Tuesdays in Room:3005, EEF (or stop by my office any time)
Grading
  • Homework: 15%
    • 3 homeworks (5% each)
  • Midterm Exam: 25%
    • The midterm is during the lecture time on 25/11/2013.
  • Presentation: 20%
    • Presentations are made individually or in groups depending on class size.
    • Presentation topics will be posted.
  • Final Project: 40%
Reference Books
  • 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.
  • Adamatzky, A., Bull, L., Costello, B. L., Stepney, S., Teuscher, C. (2007). Unconventional Computing, Luniver Press.
  • Stanisavljević, M., Schmid, M, Leblebici, Y. (2010). Reliability of Nanoscale Circuits and Systems: Methodologies and Circuit Architectures, Springer.
  • Sasao, T. (1999). Switching Theory for Logic Synthesis, Springer.
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 open-notes and open-books format.
  • Collaboration is not permitted for the final project.

Weekly Course Plan

Date
Topic
Week 1, 16/9/2013 Introduction
Week 2, 23/9/2013 Overview of emerging nanoscale devices and switches
Week 3, 30/9/2013 Deterministic computing models for nanoelectronic circuits
Weeks 4, 7/10/2013 Deterministic computing models for nanoelectronic circuits
Weeks 5, 14/10/2013 HOLIDAY!, no class
Week 6, 21/10/2013 Probabilistic computing models for nanoelectronic circuits
Weeks 7, 28/10/2013 Stochastic computation
Week 8, 4/11/2013 Stochastic computation
Week 9, 11/11/2013 Defects and reliability in nanoelectronics
Weeks 10, 18/11/2013 Defect tolerance techniques
Week 11, 25/11/2013 MIDTERM
Week 12, 2/12/2013 Performance parameters (area, power, delay, and accuracy) and optimization
Weeks 13, 9/12/2013 Student presentations
Weeks 14, 16/12/2013 Student presentations
Weeks 15, 23/12/2013 Student presentations

Course Materials

Lecture Slides Homeworks Exams/Projects
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