Verwandte Artikel zu Variation-Aware Design of Custom Integrated Circuits:...

Variation-Aware Design of Custom Integrated Circuits: A Hands-on Field Guide: A Hands-on Field Guide - Softcover

McConaghy, Trent; Breen, Kristopher; Dyck, Jeffrey; Gupta, Amit

 
9781489996732: Variation-Aware Design of Custom Integrated Circuits: A Hands-on Field Guide: A Hands-on Field Guide

Inhaltsangabe

This book targets custom IC designers who are encountering variation issues in their designs, especially for modern process nodes at 45nm and below, such as statistical process variations, environmental variations, and layout effects. It teaches them the state-of-the-art in Variation-Aware Design tools, which help the designer to analyze quickly the variation effects, identify the problems, and fix the problems. Furthermore, this book describes the algorithms and algorithm behavior/performance/limitations, which is of use to designers considering these tools, designers using these tools, CAD researchers, and CAD managers.

Die Inhaltsangabe kann sich auf eine andere Ausgabe dieses Titels beziehen.

Über die Autorin bzw. den Autor

Trent McConaghy is co-founder and Chief Scientific Officer of Solido Design Automation Inc. He was a co-founder and Chief Scientist of Analog Design Automation Inc., which was acquired by Synopsys Inc. in 2004. Prior to that, he did research for the Canadian Department of National Defense. He received his PhD degree in Electrical Engineering from the Katholieke Universiteit Leuven, Belgium, in 2008. He received a Bachelor's in Engineering (with great distinction), and a Bachelor's in Computer Science (with great distinction), both from the University of Saskatchewan, Canada, in 1999. He has about 40 peer-reviewed technical papers and patents granted / pending. He has given invited talks / tutorials at many labs, universities, and conferences such as JPL, MIT, ICCAD, and DAC. He is regularly a technical program committee member and reviewer in both the CAD and intelligent systems fields, such as IEEE Trans CAD, ACM TODAES, Electronics Letters, to IEEE Trans Evolutionary Computation, the Journal of Genetic Programming and Evolvable Machines, GPTP, GECCO, ICES, etc. His research interest is in statistical machine learning and intelligent systems, with transistor-level CAD applications such as variation-aware design, analog topology design, automated sizing, knowledge extraction, and symbolic modeling. Michiel Steyaert was born in Aalst, Belgium, in 1959. He received the masters degree in electrical-mechanical engineering and the Ph.D. degree in electronics from the Katholieke Universiteit Leuven (K.U.Leuven), Heverlee, Belgium in 1983 and 1987, respectively. From 1983 to 1986 he obtained an IWNOL fellowship (Belgian National Fundation for Industrial Research) which allowed him to work as a Research Assistant  at the Laboratory ESAT at K.U.Leuven. In 1987 he was responsible for several industrial projects in the field of analog micropower circuits at the Laboratory ESAT as an IWONL Project Researcher. In 1988 he was a Visiting Assistant Professor atthe University of California, Los Angeles. In 1989 he was appointed by the National Fund of Scientific Research (Belgium) as Research Associate, in 1992 as a Senior Research Associate and in 1996 as a Research Director at the Laboratory ESAT, K.U.Leuven. Between 1989 and 1996 he was also a part-time Associate Professor. He is now a Full Professor at the K.U.Leuven. His current research interests are in high-performance and high-frequency analog integrated circuits for telecommunication systems and analog signal processing. Prof.Steyaert received the 1990 and 2001 European Solid-State Circuits Conference Best Paper Award. He received the 1991 and the 2000 NFWO Alcatel-Bell-Telephone award for innovative work in integrated circuits for telecommunications. Prof.Steyaert received the 1995 and 1997 IEEE-ISSCC Evening Session Award, the 1999 IEEE Circuit and Systems Society Guillemin-Cauer Award and is currently an IEEE-Fellow. Georges Gielen received the MSc and PhD degrees in Electrical Engineering from the Katholieke Universiteit Leuven, Belgium, in 1986 and 1990, respectively. He currently is a Full Professor at the Katholieke Universiteit Leuven. His research interests are in the design of analog and mixed-signal integrated circuits, and especially in analog and mixed-signal CAD tools and design automation (modeling, simulation and symbolic analysis, analog synthesis, analog layout generation, analog and mixed-signal testing). He is coordinator or partner of several (industrial) research projects in this area, including several European projects (EU, MEDEA, ESA). He has authored or coauthored five books and more than 300 papers in edited books, international journals and conference proceedings. He regularly is a member of the Program Committees of international conferences (DAC, ICCAD, ISCAS, DATE, CICC...), and served as General Chair of the DATE conference in 2006 and of the International Conference on Computer-Aided Design in 2007. He serves regularly as member of editorial boards of

Von der hinteren Coverseite

This book targets custom IC designers who are encountering variation issues in their designs, especially for modern process nodes at 45nm and below, such as statistical process variations, environmental variations, and layout effects. The authors have created a field guide to show how to handle variation proactively, and to understand the benefits of doing so. Readers facing variation challenges in their memory, standard cell, analog/RF, and custom digital designs will find easy-to-read, pragmatic solutions.

  • Reviews the most important concepts in variation-aware design, including types of variables and variation, useful variation-aware design terminology, and an overview and comparison of high-level design flows.
  • Describes and compares a suite of approaches and flows for PVT corner-driven design and verification. Presents Fast PVT, a novel, confidence-driven global optimization technique for PVT corner extraction and verification that is both rapid and reliable.
  • Presents a visually-oriented overview of probability density functions, Monte Carlo sampling, and yield estimation.
  • Describes a suite of methods used for 2-3 sigma statistical design and presents a novel sigma-driven corners flow, which is a fast, accurate, and scalable method suitable for 2-3 sigma design and verification.
  • Describes and compares high-sigma design and verification techniques and presents a novel technique for high-sigma statistical corner extraction and verification, demonstrating its fast, accurate, scalable, and verifiable qualities across a variety of applications.
  • Compares manual design and automated sizing and introduces an integrated approach to aid the sizing step in PVT, 3σ statistical and high-sigma statistical design.

„Über diesen Titel“ kann sich auf eine andere Ausgabe dieses Titels beziehen.