ELE 523E
From The Emerging Circuits and Computation Group at ITU
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== Overview == | == Overview == | ||
Revision as of 11:27, 19 October 2020
Contents |
Announcements
- Oct. 19th Lectures are given onine 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 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.
Syllabus
ELE 523E: Computational Nanoelectronics, CRN: 14785, Mondays 13:30-16:30, Room: 2419 (Bedri Karafakioğlu Seminar Room-EEF third floor), Fall 2018.
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Weekly Course Plan
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Date
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Topic
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| 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 |
| Week 4, 8/10/2018 | Molecular computing with individual molecules and DNA strand displacement |
| Week 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 |
| Week 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 |
| Week 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 |
| Week 13, 10/12/2018 | Overview of the midterm, presentation schedule, and final project |
| Week 14, 17/12/2018 | Student presentations |
| Week 15, 24/12/2018 | Student presentations |
Course Materials
| Lecture Slides | Lecture Slides | Homeworks | Presentations & Exams & Projects |
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| W1: Introduction | |||
