Multi-Objective Optimization in Physical Synthesis

A. Papa, David; L. Markov, Igor

ISBN 10: 1461413559 / ISBN 13: 9781461413554

Published by Springer, 2012

About this Item

New. US edition. Print on demand title. Delivery takes 20-25 days. Excellent Customer Service.

Seller Inventory # POD-56863

Bibliographic Details

• Title: Multi-Objective Optimization in Physical Synthesis
• Publisher: Springer
• Publication Date: 2012
• Language: English
• ISBN 10: 1461413559
• ISBN 13: 9781461413554
• Binding: Hardcover
• Condition: Brand New

About this title

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.