ELE 523E

From The Emerging Circuits and Computation Group at ITU
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{{DISPLAYTITLE: ELE 523E: Computational Nanoelectronics}}
 
== Announcements ==
 
== Announcements ==
  
−
* <span style="background:#4682B4; color:#FFFFFF; font-size: 100%;"> Sept. 12th</span>  The class is given in the room '''Z2''' (ground level), EEF.
+
* <span style="background:#4682B4; color:#FFFFFF; font-size: 100%;"> Jan. 3rd</span> [[Media:ele523e-2021-fall-final-project.pdf | '''The final project''']] has been posted that is due '''24/1/2022''' before 13:30.
 +
* <span style="background:#4682B4; color:#FFFFFF; font-size: 100%;"> Dec. 3rd</span> Next lectures, first on December 6th, will be done online at ZOOM; link will be shared.
 +
* <span style="background:#4682B4; color:#FFFFFF; font-size: 100%;"> Dec. 3rd</span> [[Media:ele523e-2021-fall-student-presentation-topics.pdf | '''Presentation rules and schedule''']] have been posted.
 +
* <span style="background:#4682B4; color:#FFFFFF; font-size: 100%;"> Dec. 3rd</span> [[Media:ele523e-2021-fall-hw-04.pdf | '''The fourth homework''']] has been posted that is due '''20/12/2021''' before 13:30.
 +
* <span style="background:#4682B4; color:#FFFFFF; font-size: 100%;"> Nov. 15th</span> [[Media:ele523e-2021-fall-hw-03.pdf | '''The third homework''']] has been posted that is due '''29/11/2021''' before 13:30.
 +
* <span style="background:#4682B4; color:#FFFFFF; font-size: 100%;"> Oct. 31st</span> [[Media:ele523e-2021-fall-hw-02.pdf | '''The second homework''']] has been posted that is due '''15/11/2021''' before 13:30.
 +
* <span style="background:#4682B4; color:#FFFFFF; font-size: 100%;"> Oct. 18th</span> [[Media:ele523e-2021-fall-hw-01.pdf | '''The first homework''']] has been posted that is due '''1/11/2021''' before 13:30.
 +
* <span style="background:#4682B4; color:#FFFFFF; font-size: 100%;"> Oct. 7th</span>  The class is given in the room '''5103''' (first floor), EEF.
  
 
== Overview ==
 
== 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:
+
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 CMOS-based. 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 (college-level) knowledge in circuit design and mathematics is assumed. Topics that are covered include:
  
−
* Devices in computational nanoelectronics (in comparison with CMOS) including nano arrays, switches, and transistors.  
+
* Circuit elements and devices in computational nanoelectronics (in comparison with CMOS) including nano-crossbar and memristor switches, reversible quantum gates, approximate circuits and systems, and emerging transistors.  
−
* Introduction of emerging computing models in circuit level.
+
* Introduction of emerging computing models and algorithms in circuit level.
−
* Analysis and synthesis of deterministic and probabilistic models.
+
* Analysis and synthesis of deterministic and probabilistic computing paradigms.
 
* Performance of the computing models regarding area, power, speed, and accuracy.
 
* Performance of the computing models regarding area, power, speed, and accuracy.
−
* Uncertainty and defects: defect tolerance techniques for permanent and transient errors.
+
* Uncertainty and faults: fault analysis and tolerance techniques for permanent and transient faults.
  
 
== Syllabus ==
 
== Syllabus ==
−
<div style="font-size: 120%;"> '''Computational Nanoelectronics''', Mondays 13:30-16:30, Room: Z2 (EEF), Fall 2013. </div>  
+
<div style="font-size: 120%;"> '''ELE 523E: Computational Nanoelectronics''', CRN: 12840, Mondays 13:30-16:30, Room: EEB 5103, Fall 2021. </div>  
−
{| border="1" cellspacing="0" cellpadding="5" " width="70%"
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{| border="1" cellspacing="0" cellpadding="5" " width="80%"
 
    
 
    
 
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* Email: altunmus@itu.edu.tr
 
* Email: altunmus@itu.edu.tr
 
* Tel: 02122856635
 
* Tel: 02122856635
−
* Office hours: 13:30 – 15:00 on Tuesdays in Room:3005, EEF (or stop by my office any time)
+
* Office hours: 14:00 – 15:00 on Wednesdays in Room:3005, EEF (or stop by my office any time)
 
|-  
 
|-  
 
|  <div style="font-size: 120%;"> '''Grading'''</div>
 
|  <div style="font-size: 120%;"> '''Grading'''</div>
 
         ||  
 
         ||  
−
* Homework: '''15%'''
+
* Homework: '''40%'''
−
** 3 homeworks (5% each)
+
** 4 homeworks (10% each)
−
 
+
−
* Midterm Exam: '''25%'''
+
−
** The midterm is during the lecture time on '''25/11/2013'''.
+
−
 
+
 
* Presentation: '''20%'''
 
* Presentation: '''20%'''
 
** Presentations are made individually or in groups depending on class size.
 
** Presentations are made individually or in groups depending on class size.
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|-
 
|-
 
|  <div style="font-size: 120%;"> '''Reference Books'''</div>
 
|  <div style="font-size: 120%;"> '''Reference Books'''</div>
−
        ||  
+
−
* 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. (Ed.). (2016). Advances in Unconventional Computing: Volume 1: Theory (Vol. 22). Springer.
 +
 
 +
* 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.
 
* 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.
+
* Zomaya, Y. (2006). Handbook of Nature-Inspired and Innovative Computing: Integrating Classical Models with Emerging Technologies, Springer.
  
−
* Sasao, T. (1999). Switching Theory for Logic Synthesis, Springer.
+
* Yanushkevich, S., Shmerko, V., Lyshevski, S. (2005). Logic Design of NanoICs, CRC Press.
  
 +
<!-- * Sasao, T. (1999).  Switching Theory for Logic Synthesis, Springer. -->
 
|-
 
|-
 
|  <div style="font-size: 120%;"> '''Policies'''</div>
 
|  <div style="font-size: 120%;"> '''Policies'''</div>
Line 55: Line 66:
 
* Homeworks are due at the beginning of class. Late homeworks will be downgraded by '''20%''' for each day passed the due date.  
 
* 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.
 
* 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.
 
* Collaboration is '''not''' permitted for the final project.
 
|}
 
|}
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==Weekly Course Plan==
 
==Weekly Course Plan==
  
−
{| border="1" cellspacing="0" cellpadding="5" " width="70%"
+
{| border="1" cellspacing="0" cellpadding="5" " width="80%"
  
 
| style="width: 20%;"|
 
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|| <div style="font-size: 120%;"> '''Topic'''</div>
 
|| <div style="font-size: 120%;"> '''Topic'''</div>
 
|-  
 
|-  
−
|  Week  1, 16/9/2013       || Introduction  
+
|  Week  1, 4/10/2021       || Introduction  
 
|-  
 
|-  
−
|  Week  2, 23/9/2013       || Overview of emerging nanoscale devices and switches
+
|  Week  2, 11/10/2021       || Overview of emerging nanoscale devices and switches  
 
|-  
 
|-  
−
|  Week  3, 30/9/2013       || Deterministic computing models for nanoelectronic circuits
+
|  Week  3, 18/10/2021       || Reversible quantum computing, reversible circuit analysis and synthesis
 
|-  
 
|-  
−
|  Weeks 4, 7/10/2013 || Deterministic computing models for nanoelectronic circuits
+
|  Week 4, 25/10/2021 || Molecular computing with individual molecules and DNA strand displacement
 
|-
 
|-
−
|  Weeks 5, 14/10/2013   || HOLIDAY!, no class
+
|  Week 5, 1/11/2021   || Computing and logic synthesis with switching nano arrays including memristor arrays
 
|-
 
|-
−
|  Week 6, 21/10/2013      || Probabilistic computing models for nanoelectronic circuits
+
|  Week 6, 8/11/2021    || Probabilistic/Stochastic and approximate computing  
 
|-  
 
|-  
−
|  Weeks 7, 28/10/2013 || Stochastic computation  
+
|  Week 7, 15/11/2021 || Probabilistic/Stochastic and approximate computing  
 
|-
 
|-
−
|  Week  8, 4/11/2013      || Stochastic computation
+
|  Week  8, 22/11/2021    || HOLIDAY!
 
|-  
 
|-  
−
|  Week  9, 11/11/2013     || Defects and reliability in nanoelectronics
+
|  Week  9, 29/11/2021     || Defects, faults, errors, and their analysis and tolerance
 
|-  
 
|-  
−
|  Weeks 10, 18/11/2013 ||  Defect tolerance techniques
+
|  Week 10, 6/12/2021 ||  Overview of presentation schedule
 
|-  
 
|-  
−
|  Week  11, 25/11/2013     || MIDTERM
+
|  Week  11, 13/12/2021     || Student presentations
 
|-  
 
|-  
−
|  Week 12, 2/12/2013    || Performance parameters (area, power, delay, and accuracy) and optimization
+
|  Week 12, 20/12/2021 || Student presentations
 
|-  
 
|-  
−
|  Weeks 13, 9/12/2013 || Student presentations
+
|  Week 13, 27/12/2021 || Student presentations
 
|-  
 
|-  
−
|  Weeks 14, 16/12/2013 || Student presentations
+
|  Week 14, 3/1/2022 || Student presentations
 
|-  
 
|-  
−
|  Weeks 15, 23/12/2013 || Student presentations
+
|  Week 15, 10/1/2022 || Final project questions and answers
 
|}
 
|}
  
 
== Course Materials ==
 
== Course Materials ==
  
−
{| border="1" cellspacing="0" cellpadding="5"
+
{| border="1" cellspacing="0" cellpadding="4" " width="80%"
−
!Lecture Slides !! Homeworks !! Exams/Projects
+
!Lecture Slides !! Lecture Slides !!  Homeworks !! Presentations & Exams & Projects
−
|-  
+
 
−
| [[Media:ele523e-2013-fall-w1-introduction.pptx | W1: Introduction]]       ||   ||  
+
|-
−
|-  
+
| [[Media:ele523e-2021-fall-w1-introduction.pptx | W1: Introduction]] ||   [[Media:ele523e-2021-fall-w5-nano-array-based-computing.pptx | W5: Nanoarray based Computing]]  || [[Media:ele523e-2021-fall-hw-01.pdf | Homework 1]]  ||  [[Media:Ele523e-2021-fall-student-presentation-topics.pdf | Presentation Rules and Topics]] 
−
| [[Media:ele523e-2013-fall-w2-emerging-computing.pptx | W2: Emerging Computing]]  ||   ||  
+
|-
 +
| [[Media:ele523e-2021-fall-w2-emerging-computing.pptx | W2: Emerging Computing]]  ||  [[Media:ele523e-2021-fall-w6-probabilistic-approximate-computing.pptx | W6-W7: Probabilistic and Approximate Computing]]  || [[Media:ele523e-2021-fall-hw-02.pdf | Homework 2]]  || [[Media:ele523e-2021-fall-final-project.pdf | Final Project]]
 +
|-
 +
| [[Media:ele523e-2021-fall-w3-reversible-quantum-computing.pptx | W3: Reversible Quantum Computing]]  ||  [[Media:ele523e-2021-fall-w8-fault-analysis-tolerance.pptx | W8-W9: Fault Analysis and Tolerance]]  ||  [[Media:ele523e-2021-fall-hw-03.pdf | Homework 3]]  ||  
 
|-
 
|-
−
|     ||       ||
+
| [[Media:ele523e-2021-fall-w4-molecular-computing.pptx | W4: Molecular Computing]]  ||   || [[Media:ele523e-2021-fall-hw-04.pdf | Homework 4]]    || 
 
|}
 
|}

Latest revision as of 09:48, 3 January 2022

Contents

[edit] Announcements

[edit] 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 CMOS-based. 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 (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 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.

[edit] Syllabus

ELE 523E: Computational Nanoelectronics, CRN: 12840, Mondays 13:30-16:30, Room: EEB 5103, Fall 2021.
Instructor

Mustafa Altun

  • Email: altunmus@itu.edu.tr
  • Tel: 02122856635
  • Office hours: 14:00 – 15:00 on Wednesdays in Room:3005, EEF (or stop by my office any time)
Grading
  • Homework: 40%
    • 4 homeworks (10% each)
  • Presentation: 20%
    • Presentations are made individually or in groups depending on class size.
    • Presentation topics will be posted.
  • Final Project: 40%
Reference Books
  • Adamatzky, A. (Ed.). (2016). Advances in Unconventional Computing: Volume 1: Theory (Vol. 22). Springer.
  • 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.
  • Collaboration is not permitted for the final project.

[edit] Weekly Course Plan

Date
Topic
Week 1, 4/10/2021 Introduction
Week 2, 11/10/2021 Overview of emerging nanoscale devices and switches
Week 3, 18/10/2021 Reversible quantum computing, reversible circuit analysis and synthesis
Week 4, 25/10/2021 Molecular computing with individual molecules and DNA strand displacement
Week 5, 1/11/2021 Computing and logic synthesis with switching nano arrays including memristor arrays
Week 6, 8/11/2021 Probabilistic/Stochastic and approximate computing
Week 7, 15/11/2021 Probabilistic/Stochastic and approximate computing
Week 8, 22/11/2021 HOLIDAY!
Week 9, 29/11/2021 Defects, faults, errors, and their analysis and tolerance
Week 10, 6/12/2021 Overview of presentation schedule
Week 11, 13/12/2021 Student presentations
Week 12, 20/12/2021 Student presentations
Week 13, 27/12/2021 Student presentations
Week 14, 3/1/2022 Student presentations
Week 15, 10/1/2022 Final project questions and answers

[edit] Course Materials

Lecture Slides Lecture Slides Homeworks Presentations & Exams & Projects
W1: Introduction W5: Nanoarray based Computing Homework 1 Presentation Rules and Topics
W2: Emerging Computing W6-W7: Probabilistic and Approximate Computing Homework 2 Final Project
W3: Reversible Quantum Computing W8-W9: Fault Analysis and Tolerance Homework 3
W4: Molecular Computing Homework 4
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