ELE 523E
(→Course Materials) 
(→Course Materials) 

Line 115:  Line 115:  
!Lecture Slides !! Lecture Slides !! Homeworks !! Presentations & Exams & Projects  !Lecture Slides !! Lecture Slides !! Homeworks !! Presentations & Exams & Projects  
    
−   [[Media:ele523e2018fallw1introduction.pptx  W1: Introduction]]   [[Media:ele523e2018fallhw01.pdf  Homework 1]]   +   [[Media:ele523e2018fallw1introduction.pptx  W1: Introduction]]  [[Media:ele523e2018fallw6probabilisticcomputing.pptx  W6: Probabilistic Computing]]  [[Media:ele523e2018fallhw01.pdf  Homework 1]]  
    
 [[Media:ele523e2018fallw2emergingcomputing.pptx  W2: Emerging Computing]]   [[Media:ele523e2018fallhw02.pdf  Homework 2]]    [[Media:ele523e2018fallw2emergingcomputing.pptx  W2: Emerging Computing]]   [[Media:ele523e2018fallhw02.pdf  Homework 2]]  
Revision as of 10:30, 22 October 2018
Contents 
Announcements
 Oct. 15th The second homework has been posted that is due 30/10/2018 before 13:30.
 Oct. 1st The first homework has been posted that is due 15/10/2018 before 13:30.
 Sept. 17th The course is given in the Bedri Karafakioğlu seminar room (2419 third floor), EEF.
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, 17/9/2018  Introduction 
Week 2, 24/9/2018  Overview of emerging nanoscale devices and switches 
Week 3, 1/10/2018  Reversible quantum computing, reversible circuit analysis and synthesis 
Weeks 4, 8/10/2018  Molecular computing with individual molecules and DNA strand displacement 
Weeks 5, 15/10/2018  Computing and logic synthesis with switching nano arrays including memristor arrays 
Week 6, 22/10/2018  Probabilistic/Stochastic computing with random bit streams and probabilistic switches 
Weeks 7, 29/10/2018  HOLIDAY, no class 
Week 8, 5/11/2018  HOLIDAY, no class 
Week 9, 12/11/2018  Approximate computing and Bayesian networks 
Weeks 10, 19/11/2018  Defects, faults, errors, and their analysis 
Week 11, 26/11/2018  Permanent and transient (concurrent) fault tolerance: error detecting and correcting 
Week 12, 3/12/2018  MIDTERM 
Weeks 13, 10/12/2018  Overview of the midterm, presentation schedule, and final project 
Weeks 14, 17/12/2018  Student presentations 
Weeks 15, 24/12/2018  Student presentations 
Course Materials
Lecture Slides  Lecture Slides  Homeworks  Presentations & Exams & Projects 

W1: Introduction  W6: Probabilistic Computing  Homework 1  
W2: Emerging Computing  Homework 2  
W3: Reversible Quantum Computing  
W4: Molecular Computing  
W5: Nanoarray based Computing 