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Stanford University

Stanford Seminar - New Horizons for Electronic Systems

Stanford University via YouTube

Overview

This course covers the following learning outcomes and goals: understanding semiconductor technologies, exploring emerging nano-technologies such as FinFET, Nanowire FET, Carbon Nanotube Transistors, and 2D electronic technologies, learning about logic cell design for controllable polarity gates, and gaining insights into nanoarchitecture design. The course teaches individual skills and tools such as modeling various emerging nanogates, physical design using dumbbell-stick diagrams, layout abstraction and regularity, Biconditional Binary Decision Diagrams (BBDDs), Majority-Inverter Graph (MIG) optimization, and majority-based synthesis. The teaching method of the course includes lectures on key concepts, examples like tele-medicine and monitoring the Alps, and experimental results on MCNC circuits and CMOS design. The intended audience for this course is individuals interested in electronic systems, semiconductor technologies, nano-technologies, and nanoarchitecture design.

Syllabus

Introduction.
Outline.
A connected world.
Nano-Tera.ch: Key figures.
Example: Tele-medicine.
Implanted computing example.
Example: Monitoring the Alps.
Semiconductor technologies.
Emerging nano-technologies.
FinFET to Nanowire FET.
Vertical silicon nanowire transistors.
Carbon Nanotube Transistors.
2D electronic technologies.
Double gate SiNW FET.
Fabricated device view.
Controllable polarity in 2D.
Modeling various emerging nanogates.
Logic cell design for controllable polarity gates.
Physical design.
Dumbbell-stick diagrams.
Layout abstraction and regularity.
Biconditional Binary Decision Diagrams.
BBDDs are Compact (Majority Function).
Why majority logic?.
Synthesis Motivation for Majority.
How to Exploit Majority Logic?.
Majority-Inverter Graph.
MIG Size Optimization.
MIG Depth Optimization: Adders.
Majority-based synthesis: MIGthy.
Experimental Results: MCNC circuits.
CMOS Design Results.
Nanoarchitecture Design.
Key points.
Conclusions.

Taught by

Stanford Online

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