ELE 523E: Computational Nanoelectronics
- Dec. 7th The final project has been posted that is due 7/1/2019 before 13:30.
- Nov. 27th Click here for the solutions of the second homework.
- Nov. 26th Presentation rules and topics have been posted.
- Nov. 26th The fourth homework has been posted that is due 10/12/2018 before 13:30.
- Nov. 12th The third homework has been posted that is due 26/11/2018 before 13:30.
- Nov. 6th To see your final grades click here.
- 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.
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, 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|
|Lecture Slides||Lecture Slides||Homeworks||Presentations & Exams & Projects|
|W1: Introduction||W6: Probabilistic Computing||Homework 1||Presentation Rules and Topics|
|W2: Emerging Computing||W9: Approximate Computing & Bayesian Networks||Homework 2||Midterm & Solutions|
|W3: Reversible Quantum Computing||W10: Faults and Their Analysis||Homework 3||Final Project|
|W4: Molecular Computing||W11: Fault Tolerance for Nano Electronics||Homework 4|
|W5: Nanoarray based Computing|