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

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.

Science & Math

Gupta, Amit

McConaghy, Trent

Breen, Kristopher

Dyck, Jeffrey

Technology

Springer

This book targets custom IC designers who are encountering variation issues in their designs, especially for modern process nodes at 45nm and below. It sets out state-of-the-art variation-aware design tools that will help them fix their problems efficiently.

Computers & Technology

Programming

Variation-Aware Analog Structural Synthesis: A Computational Intelligence Approach (Analog Circuits and Signal Processing)

This book describes new tools for front end analog designers, starting with global variation-aware sizing, and extending to novel variation-aware topology design. The tools aid design through automation, but more importantly, they also aid designer insight through automation. We now describe four design tasks, each more general than the previous, and how this book contributes design aids and insight aids to each. The ?rst designer task targeted is global robust sizing. This task is supported by a design tool that does automated, globally reliable, variation-aware s- ing (SANGRIA),and an insight-aiding tool that extracts designer-interpretable whitebox models that relate sizings to circuit performance (CAFFEINE). SANGRIA searches on several levels of problem dif?culty simultaneously, from lower cheap-to-evaluate “exploration” layers to higher full-evaluation “exploitation” layers (structural homotopy). SANGRIAmakes maximal use of circuit simulations by performing scalable data mining on simulation results to choose new candidate designs. CAFFEINE accomplishes its task by tre- ing function induction as a tree-search problem. It constrains its tree search space via a canonical-functional-form grammar, and searches the space with grammatically constrained genetic programming. The second designer task is topology selection/topology design. Topology selection tools must consider a broad variety of topologies such that an app- priate topology is selected, must easily adapt to new semiconductor process nodes, and readily incorporate new topologies. Topology design tools must allow designers to creatively explore new topology ideas as rapidly as possible.

Steyaert, Michiel

Gielen, Georges

Palmers, Pieter

Peng, Gao

Computer Science

This book describes computational intelligence-based tools for robust design of analog circuits. It starts with global variation-aware sizing and knowledge extraction and progressively extends to variation-aware topology design.

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