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Modern Placement Techniques

Modern Placement Techniques explains physical design and VLSI/CAD placement to the professional engineer and engineering student. Along with explaining the problems that are associated with placement, the book gives an overview of existing placement algorithms, techniques and methodologies. Modern P...

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Bibliographic Details
Main Authors: Sarrafzadeh, Majid, Wang, Maogang (Author), Yang, Xianjian (Author)
Format: eBook
Language:English
Published: New York, NY Springer US 2003, 2003
Edition:1st ed. 2003
Subjects:
Computer-aided Engineering (cad, Cae) And Design
Electrical And Electronic Engineering
Electrical Engineering
Electronic Circuits
Computer-aided Engineering
Electronic Circuits And Systems
Online Access:
Collection: Springer Book Archives -2004 - Collection details see MPG.ReNa
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245 0 0 |a Modern Placement Techniques  |h Elektronische Ressource  |c by Majid Sarrafzadeh, Maogang Wang, Xianjian Yang 
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505 0 |a 1. Introduction -- 2. Review of Placement Work -- 3. Dragon: A Placement Framework -- 4. Congestion Estimation -- 5. congestion Minimization -- 6. White Space Allocation -- 7. Timing-Driven Placement -- 8. Software, Benchmarks and Results -- 9. Macro-Cell Placement -- 10. Conclusion 
653 |a Computer-Aided Engineering (CAD, CAE) and Design 
653 |a Electrical and Electronic Engineering 
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653 |a Electronic circuits 
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653 |a Electronic Circuits and Systems 
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700 1 |a Yang, Xianjian  |e [author] 
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520 |a Modern Placement Techniques explains physical design and VLSI/CAD placement to the professional engineer and engineering student. Along with explaining the problems that are associated with placement, the book gives an overview of existing placement algorithms, techniques and methodologies. Modern Placement Techniques emphasizes recent advances in addressing the placement problem, including congestion-driven, timing driven, mixed macro-cell and standard cell placement. The book presents the Dragon placement tool, with detailed algorithm descriptions for wire length, congestion and timing optimization. Placement benchmarks and results produced by Dragon are explained in detail 

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