Overview
- Editors:
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Bing Lu
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Department of Computer Science and Engineering, University of Minnesota, Minneapolis, USA
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Ding-Zhu Du
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Department of Computer Science and Engineering, University of Minnesota, Minneapolis, USA
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Sachin S. Sapatnekar
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Department of Electrical and Computer Engineering, University of Minnesota, Minneapolis, USA
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Table of contents (8 chapters)
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Front Matter
Pages i-viii
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- Hung-Ming Chen, Martin D. F. Wong, Hai Zhou, Fung-Yu Young, Hannah H. Yang, Naveed Sherwani
Pages 1-18
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- Xiaojian Yang, Elaheh Bozorgzadeh, Majid Sarrafzadeh, Maogang Wang
Pages 45-87
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- Jiang Hu, Sachin S. Sapatnekar
Pages 89-123
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- Vitit Kantabutra, Stefania Perri, Pasquale Corsonello
Pages 261-288
About this book
Introduction The exponential scaling of feature sizes in semiconductor technologies has side-effects on layout optimization, related to effects such as inter connect delay, noise and crosstalk, signal integrity, parasitics effects, and power dissipation, that invalidate the assumptions that form the basis of previous design methodologies and tools. This book is intended to sample the most important, contemporary, and advanced layout opti mization problems emerging with the advent of very deep submicron technologies in semiconductor processing. We hope that it will stimulate more people to perform research that leads to advances in the design and development of more efficient, effective, and elegant algorithms and design tools. Organization of the Book The book is organized as follows. A multi-stage simulated annealing algorithm that integrates floorplanning and interconnect planning is pre sented in Chapter 1. To reduce the run time, different interconnect plan ning approaches are applied in different ranges of temperatures. Chapter 2 introduces a new design methodology - the interconnect-centric design methodology and its centerpiece, interconnect planning, which consists of physical hierarchy generation, floorplanning with interconnect planning, and interconnect architecture planning. Chapter 3 investigates a net-cut minimization based placement tool, Dragon, which integrates the state of the art partitioning and placement techniques.
Editors and Affiliations
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Department of Computer Science and Engineering, University of Minnesota, Minneapolis, USA
Bing Lu,
Ding-Zhu Du
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Department of Electrical and Computer Engineering, University of Minnesota, Minneapolis, USA
Sachin S. Sapatnekar
