Nano-Scale CMOS Analog Circuits: Models and CAD Techniques for High-Level Design

Reliability concerns and the limitations of process technology can sometimes restrict the innovation process involved in designing nano-scale analog circuits. The success of nano-scale analog circuit design requires repeat experimentation, correct analysis of the device physics, process technology, and adequate use of the knowledge database.

Starting with the basics, Nano-Scale CMOS Analog Circuits: Models and CAD Techniques for High-Level Design introduces the essential fundamental concepts for designing analog circuits with optimal performances. This book explains the links between the physics and technology of scaled MOS transistors and the design and simulation of nano-scale analog circuits. It also explores the development of structured computer-aided design (CAD) techniques for architecture-level and circuit-level design of analog circuits.

The book outlines the general trends of technology scaling with respect to device geometry, process parameters, and supply voltage. It describes models and optimization techniques, as well as the compact modeling of scaled MOS transistors for VLSI circuit simulation.

- Includes two learning-based methods: the artificial neural network (ANN) and the least-squares support vector machine (LS-SVM) method

- Provides case studies demonstrating the practical use of these two methods

- Explores circuit sizing and specification translation tasks

- Introduces the particle swarm optimization technique and provides examples of sizing analog circuits

- Discusses the advanced effects of scaled MOS transistors like narrow width effects, and vertical and lateral channel engineering

Nano-Scale CMOS Analog Circuits: Models and CAD Techniques for High-Level Design describes the models and CAD techniques, explores the physics of MOS transistors, and considers the design challenges involving statistical variations of process technology parameters and reliability constraints related to circuit design.

Soumya Pandit received a B.Sc degree with Physics Honors, M.Sc degree in electronic science from University of Calcutta in 1998 and 2000, and an M.Tech degree in radio physics and electronics from the same university in 2002. He obtained his PhD degree from Indian Institute of Technology, Kharagpur in information technology in the year 2009. His current research activities are on statistical CMOS analog circuit design and optimization, process-device-circuit interaction, and soft computing applications. Dr. Pandit has to his credit several international journal and conference publications. He is a member of IEEE, USA and an associate member of the Institute of Engineers (India).

Chittaranjan Mandal received his PhD from the Indian Institute of Technology, Kharagpur, India, in 1997. He is currently a professor in the Department of Computer Science and Engineering and also the School of Information Technology at IIT, Kharagpur. His research interests include high-level system design, formal modeling, and verification. He has been an Industrial Fellow of Kingston University, UK, since 2000 and was also a recipient of a Royal Society Fellowship for conducting collaborative research in the UK. He has handled sponsored projects from government agencies as well as private agencies such as Nokia, Natsem, and Intel. He also serves as a reviewer for several journals and conferences.

Amit Patra received B.Tech., M.Tech., and Ph.D. degrees from the Indian Institute of Technology, Kharagpur in 1984, 1986, and 1990 respectively. He is currently a professor of electrical engineering at IIT Kharagpur where he served as the Dean (Alumni Affairs and International Relations) between 2007 and 2013. His current research interests include power management circuits, mixed-signal SoC design and embedded control systems. He has published more than 200 research papers and designed about 12 integrated circuits. He has carried out sponsored research with multiple industries such as National Semiconductor Corporation, Freescale Semiconductor, Infineon Technologies and Maxim Integrated Circuits.