Field programmable gate arrays (FPGAs) have revolutionized the way digital systems are designed and built over the past decade. With architectures capable of holding tens of millions of logic gates on the horizon and planned integration of configurable logic into system-on-chip platforms, the versatility of these programmable devices is expected to increase dramatically. Placement is one of the vital steps in mapping a design onto FPGA in order to take the best advantage of the resources and flexibility provided by it. Here, techniques of Placement Optimization have been tested on MCNC Benchmark circuits. PSO (Particle Swarm Optimization) has been implemented on circuit netlist with different cost functions to verify efficiency of optimization. Furthermore, lazy descent has been introduced into the algorithm to impede premature convergence. This book will be especially helpful to research scholars and students of electronics seeking superior heuristic optimization techniques for FPGA circuit placement. Further work on routing optimization might lead to a commercially viable mapping algorithm.
Les informations fournies dans la section « Synopsis » peuvent faire référence à une autre édition de ce titre.
Sandip Sahoo, B.Tech: Studied Electronics and Instrumentation Engineering at National Institute of Technology (NIT), Rourkela, India. Graduate Engineering Trainee (Electrical and Automation) at greenfield stainless steel manufacturing plant of Jindal Stainless Ltd. at Jajpur, Odisha.
Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.
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Taschenbuch. Etat : Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Field programmable gate arrays (FPGAs) have revolutionized the way digital systems are designed and built over the past decade. With architectures capable of holding tens of millions of logic gates on the horizon and planned integration of configurable logic into system-on-chip platforms, the versatility of these programmable devices is expected to increase dramatically. Placement is one of the vital steps in mapping a design onto FPGA in order to take the best advantage of the resources and flexibility provided by it. Here, techniques of Placement Optimization have been tested on MCNC Benchmark circuits. PSO (Particle Swarm Optimization) has been implemented on circuit netlist with different cost functions to verify efficiency of optimization. Furthermore, lazy descent has been introduced into the algorithm to impede premature convergence. This book will be especially helpful to research scholars and students of electronics seeking superior heuristic optimization techniques for FPGA circuit placement. Further work on routing optimization might lead to a commercially viable mapping algorithm. 52 pp. Englisch. N° de réf. du vendeur 9783659233029
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Etat : New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Sahoo SandipSandip Sahoo, B.Tech: Studied Electronics and Instrumentation Engineering at National Institute of Technology (NIT), Rourkela, India. Graduate Engineering Trainee (Electrical and Automation) at greenfield stainless steel . N° de réf. du vendeur 5141717
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Taschenbuch. Etat : Neu. This item is printed on demand - Print on Demand Titel. Neuware -Field programmable gate arrays (FPGAs) have revolutionized the way digital systems are designed and built over the past decade. With architectures capable of holding tens of millions of logic gates on the horizon and planned integration of configurable logic into system-on-chip platforms, the versatility of these programmable devices is expected to increase dramatically. Placement is one of the vital steps in mapping a design onto FPGA in order to take the best advantage of the resources and flexibility provided by it. Here, techniques of Placement Optimization have been tested on MCNC Benchmark circuits. PSO (Particle Swarm Optimization) has been implemented on circuit netlist with different cost functions to verify efficiency of optimization. Furthermore, lazy descent has been introduced into the algorithm to impede premature convergence. This book will be especially helpful to research scholars and students of electronics seeking superior heuristic optimization techniques for FPGA circuit placement. Further work on routing optimization might lead to a commercially viable mapping algorithm.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 52 pp. Englisch. N° de réf. du vendeur 9783659233029
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Taschenbuch. Etat : Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Field programmable gate arrays (FPGAs) have revolutionized the way digital systems are designed and built over the past decade. With architectures capable of holding tens of millions of logic gates on the horizon and planned integration of configurable logic into system-on-chip platforms, the versatility of these programmable devices is expected to increase dramatically. Placement is one of the vital steps in mapping a design onto FPGA in order to take the best advantage of the resources and flexibility provided by it. Here, techniques of Placement Optimization have been tested on MCNC Benchmark circuits. PSO (Particle Swarm Optimization) has been implemented on circuit netlist with different cost functions to verify efficiency of optimization. Furthermore, lazy descent has been introduced into the algorithm to impede premature convergence. This book will be especially helpful to research scholars and students of electronics seeking superior heuristic optimization techniques for FPGA circuit placement. Further work on routing optimization might lead to a commercially viable mapping algorithm. N° de réf. du vendeur 9783659233029
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Taschenbuch. Etat : Neu. Optimization of Circuit Placement on FPGA | PSO Implementation on MCNC Benchmark Circuits | Sandip Sahoo (u. a.) | Taschenbuch | 52 S. | Englisch | 2012 | LAP LAMBERT Academic Publishing | EAN 9783659233029 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu. N° de réf. du vendeur 106262486
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