Multi-Objective Optimization in Physical Synthesis of Integrated Circuits (Lecture Notes in Electrical Engineering, 166)

A. Papa, David, L. Markov, Igor

ISBN 10: 1493900803 / ISBN 13: 9781493900800

Published by Springer, 2014

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Seller Inventory # ERICA77314939008036

Bibliographic Details

• Title: Multi-Objective Optimization in Physical Synthesis of Integrated Circuits (Lecture Notes in Electrical Engineering, 166)
• Publisher: Springer
• Publication Date: 2014
• Language: English
• ISBN 10: 1493900803
• ISBN 13: 9781493900800
• Binding: Paperback
• Condition: Like New
• Book Type: book

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Synopsis

This book introduces techniques that advance the capabilities and strength of modern software tools for physical synthesis, with the ultimate goal to improve the quality of leading-edge semiconductor products. It provides a comprehensive introduction to physical synthesis and takes the reader methodically from first principles through state-of-the-art optimizations used in cutting edge industrial tools. It explains how to integrate chip optimizations in novel ways to create powerful circuit transformations that help satisfy performance requirements.

From the Back Cover

This book introduces techniques that advance the capabilities and strength of modern software tools for physical synthesis, with the ultimate goal to improve the quality of leading-edge semiconductor products. It provides a comprehensive introduction to physical synthesis and takes the reader methodically from first principles through state-of-the-art optimizations used in cutting edge industrial tools. It explains how to integrate chip optimizations in novel ways to create powerful circuit transformations that help satisfy performance requirements.

• Broadens the scope of physical synthesis optimization to include accurate transformations operating between the global and local scales;
• Integrates groups of related transformations to break circular dependencies and increase the number of circuit elements that can be jointly optimized to escape local minima;
• Derives several multi-objective optimizations from first observations through complete algorithms and experiments;
• Describes integrated optimization techniques that ensure a graceful timing closure process and impact nearly every aspect of a typical physical synthesis flow.