Multilevel Optimization in VLSICAD [electronic resource] /
In the last few decades, multiscale algorithms have become a dominant trend in large-scale scientific computation. Researchers have successfully applied these methods to a wide range of simulation and optimization problems. This book gives a general overview of multiscale algorithms; applications to general combinatorial optimization problems such as graph partitioning and the traveling salesman problem; and VLSICAD applications, including circuit partitioning, placement, and VLSI routing. Additional chapters discuss optimization in reconfigurable computing, convergence in multilevel optimization, and model problems with PDE constraints. Audience: Written at the graduate level, the book is intended for engineers and mathematical and computational scientists studying large-scale optimization in electronic design automation.
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Format: | Texto biblioteca |
Language: | eng |
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Boston, MA : Springer US : Imprint: Springer,
2003
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Subjects: | Engineering., Computers., Computer-aided engineering., Mathematical optimization., Electrical engineering., Electronics., Microelectronics., Electronic circuits., Electronics and Microelectronics, Instrumentation., Theory of Computation., Circuits and Systems., Electrical Engineering., Optimization., Computer-Aided Engineering (CAD, CAE) and Design., |
Online Access: | http://dx.doi.org/10.1007/978-1-4757-3748-6 |
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KOHA-OAI-TEST:2164202018-07-30T23:51:46ZMultilevel Optimization in VLSICAD [electronic resource] / Cong, Jason. editor. Shinnerl, Joseph R. editor. SpringerLink (Online service) textBoston, MA : Springer US : Imprint: Springer,2003.engIn the last few decades, multiscale algorithms have become a dominant trend in large-scale scientific computation. Researchers have successfully applied these methods to a wide range of simulation and optimization problems. This book gives a general overview of multiscale algorithms; applications to general combinatorial optimization problems such as graph partitioning and the traveling salesman problem; and VLSICAD applications, including circuit partitioning, placement, and VLSI routing. Additional chapters discuss optimization in reconfigurable computing, convergence in multilevel optimization, and model problems with PDE constraints. Audience: Written at the graduate level, the book is intended for engineers and mathematical and computational scientists studying large-scale optimization in electronic design automation.1 Multigrid Solvers and Multilevel Optimization Strategies -- 2 An Exploration of Multilevel Combinatorial Optimisation -- 3 Multilevel Hypergraph Partitioning -- 4 Multilevel Circuit Placement -- 5 Multilevel VLSI Routing -- 6 Optimization for Reconfigurable Systems Using Hierarchical Abstraction -- 7 Practical Aspects of Multiscale Optimization Methods for VLSICAD.In the last few decades, multiscale algorithms have become a dominant trend in large-scale scientific computation. Researchers have successfully applied these methods to a wide range of simulation and optimization problems. This book gives a general overview of multiscale algorithms; applications to general combinatorial optimization problems such as graph partitioning and the traveling salesman problem; and VLSICAD applications, including circuit partitioning, placement, and VLSI routing. Additional chapters discuss optimization in reconfigurable computing, convergence in multilevel optimization, and model problems with PDE constraints. Audience: Written at the graduate level, the book is intended for engineers and mathematical and computational scientists studying large-scale optimization in electronic design automation.Engineering.Computers.Computer-aided engineering.Mathematical optimization.Electrical engineering.Electronics.Microelectronics.Electronic circuits.Engineering.Electronics and Microelectronics, Instrumentation.Theory of Computation.Circuits and Systems.Electrical Engineering.Optimization.Computer-Aided Engineering (CAD, CAE) and Design.Springer eBookshttp://dx.doi.org/10.1007/978-1-4757-3748-6URN:ISBN:9781475737486 |
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Engineering. Computers. Computer-aided engineering. Mathematical optimization. Electrical engineering. Electronics. Microelectronics. Electronic circuits. Engineering. Electronics and Microelectronics, Instrumentation. Theory of Computation. Circuits and Systems. Electrical Engineering. Optimization. Computer-Aided Engineering (CAD, CAE) and Design. Engineering. Computers. Computer-aided engineering. Mathematical optimization. Electrical engineering. Electronics. Microelectronics. Electronic circuits. Engineering. Electronics and Microelectronics, Instrumentation. Theory of Computation. Circuits and Systems. Electrical Engineering. Optimization. Computer-Aided Engineering (CAD, CAE) and Design. |
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Engineering. Computers. Computer-aided engineering. Mathematical optimization. Electrical engineering. Electronics. Microelectronics. Electronic circuits. Engineering. Electronics and Microelectronics, Instrumentation. Theory of Computation. Circuits and Systems. Electrical Engineering. Optimization. Computer-Aided Engineering (CAD, CAE) and Design. Engineering. Computers. Computer-aided engineering. Mathematical optimization. Electrical engineering. Electronics. Microelectronics. Electronic circuits. Engineering. Electronics and Microelectronics, Instrumentation. Theory of Computation. Circuits and Systems. Electrical Engineering. Optimization. Computer-Aided Engineering (CAD, CAE) and Design. Cong, Jason. editor. Shinnerl, Joseph R. editor. SpringerLink (Online service) Multilevel Optimization in VLSICAD [electronic resource] / |
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In the last few decades, multiscale algorithms have become a dominant trend in large-scale scientific computation. Researchers have successfully applied these methods to a wide range of simulation and optimization problems. This book gives a general overview of multiscale algorithms; applications to general combinatorial optimization problems such as graph partitioning and the traveling salesman problem; and VLSICAD applications, including circuit partitioning, placement, and VLSI routing. Additional chapters discuss optimization in reconfigurable computing, convergence in multilevel optimization, and model problems with PDE constraints. Audience: Written at the graduate level, the book is intended for engineers and mathematical and computational scientists studying large-scale optimization in electronic design automation. |
format |
Texto |
topic_facet |
Engineering. Computers. Computer-aided engineering. Mathematical optimization. Electrical engineering. Electronics. Microelectronics. Electronic circuits. Engineering. Electronics and Microelectronics, Instrumentation. Theory of Computation. Circuits and Systems. Electrical Engineering. Optimization. Computer-Aided Engineering (CAD, CAE) and Design. |
author |
Cong, Jason. editor. Shinnerl, Joseph R. editor. SpringerLink (Online service) |
author_facet |
Cong, Jason. editor. Shinnerl, Joseph R. editor. SpringerLink (Online service) |
author_sort |
Cong, Jason. editor. |
title |
Multilevel Optimization in VLSICAD [electronic resource] / |
title_short |
Multilevel Optimization in VLSICAD [electronic resource] / |
title_full |
Multilevel Optimization in VLSICAD [electronic resource] / |
title_fullStr |
Multilevel Optimization in VLSICAD [electronic resource] / |
title_full_unstemmed |
Multilevel Optimization in VLSICAD [electronic resource] / |
title_sort |
multilevel optimization in vlsicad [electronic resource] / |
publisher |
Boston, MA : Springer US : Imprint: Springer, |
publishDate |
2003 |
url |
http://dx.doi.org/10.1007/978-1-4757-3748-6 |
work_keys_str_mv |
AT congjasoneditor multileveloptimizationinvlsicadelectronicresource AT shinnerljosephreditor multileveloptimizationinvlsicadelectronicresource AT springerlinkonlineservice multileveloptimizationinvlsicadelectronicresource |
_version_ |
1756269613170032640 |