ELE 523E: Computational Nanoelectronics
- Jan. 3rd The final project has been posted that is due 24/1/2022 before 13:30.
- Dec. 3rd Next lectures, first on December 6th, will be done online at ZOOM; link will be shared.
- Dec. 3rd Presentation rules and schedule have been posted.
- Dec. 3rd The fourth homework has been posted that is due 20/12/2021 before 13:30.
- Nov. 15th The third homework has been posted that is due 29/11/2021 before 13:30.
- Oct. 31st The second homework has been posted that is due 15/11/2021 before 13:30.
- Oct. 18th The first homework has been posted that is due 1/11/2021 before 13:30.
- Oct. 7th The class is given in the room 5103 (first floor), EEF.
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.
Weekly Course Plan
|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|
|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|