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Edité par LAP Lambert Academic Publishing, 2014
ISBN 10 : 3659554634ISBN 13 : 9783659554636
Vendeur : Ria Christie Collections, Uxbridge, Royaume-Uni
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Etat : New. PRINT ON DEMAND Book; New; Fast Shipping from the UK. No. book.
Edité par LAP LAMBERT Academic Publishing, 2014
ISBN 10 : 3659554634ISBN 13 : 9783659554636
Vendeur : Lucky's Textbooks, Dallas, TX, Etats-Unis
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Etat : New.
Edité par LAP Lambert Academic Publishing 2014-07, 2014
ISBN 10 : 3659554634ISBN 13 : 9783659554636
Vendeur : Chiron Media, Wallingford, Royaume-Uni
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PF. Etat : New.
Edité par LAP LAMBERT Academic Publishing, 2014
ISBN 10 : 3659554634ISBN 13 : 9783659554636
Vendeur : PBShop.store US, Wood Dale, IL, Etats-Unis
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PAP. Etat : New. New Book. Shipped from UK. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.
Edité par LAP LAMBERT Academic Publishing Jul 2014, 2014
ISBN 10 : 3659554634ISBN 13 : 9783659554636
Vendeur : BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Allemagne
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Taschenbuch. Etat : Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -The objective of this work is to design and implement a self-adaptive parallel GPU optimized Monte Carlo algorithm for the simulation of adsorption in porous materials. We focus on Nvidia's GPUs and CUDA's Fermi architecture specifically. The resulting package supports the different ensemble methods for the Monte Carlo simulation, which will allow for the simulation of multi-component adsorption in porous solids. Such an algorithm will have broad applications to the development of novel porous materials for the sequestration of CO2 and the filtration of toxic industrial chemicals. The primary objective of this work is the release of a massively parallel open source Monte Carlo simulation engine implemented using GPUs, called GOMC. The code will utilize the canonical ensemble, and the Gibbs ensemble method, which will allow for the simulation of multiple phenomena, including liquid-vapor phase coexistence, and single and multi-component adsorption in porous materials. In addition, the grand canonical ensemble and the configurational-bias algorithms have been implemented so that polymeric materials and small proteins may be simulated. 132 pp. Englisch.
Edité par LAP LAMBERT Academic Publishing, 2014
ISBN 10 : 3659554634ISBN 13 : 9783659554636
Vendeur : AHA-BUCH GmbH, Einbeck, Allemagne
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Taschenbuch. Etat : Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - The objective of this work is to design and implement a self-adaptive parallel GPU optimized Monte Carlo algorithm for the simulation of adsorption in porous materials. We focus on Nvidia's GPUs and CUDA's Fermi architecture specifically. The resulting package supports the different ensemble methods for the Monte Carlo simulation, which will allow for the simulation of multi-component adsorption in porous solids. Such an algorithm will have broad applications to the development of novel porous materials for the sequestration of CO2 and the filtration of toxic industrial chemicals. The primary objective of this work is the release of a massively parallel open source Monte Carlo simulation engine implemented using GPUs, called GOMC. The code will utilize the canonical ensemble, and the Gibbs ensemble method, which will allow for the simulation of multiple phenomena, including liquid-vapor phase coexistence, and single and multi-component adsorption in porous materials. In addition, the grand canonical ensemble and the configurational-bias algorithms have been implemented so that polymeric materials and small proteins may be simulated.
Edité par LAP LAMBERT Academic Publishing, 2014
ISBN 10 : 3659554634ISBN 13 : 9783659554636
Vendeur : PBShop.store UK, Fairford, GLOS, Royaume-Uni
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PAP. Etat : New. New Book. Delivered from our UK warehouse in 4 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.
Edité par LAP LAMBERT Academic Publishing, 2014
ISBN 10 : 3659554634ISBN 13 : 9783659554636
Vendeur : moluna, Greven, Allemagne
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Etat : New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Hailat EyadEyad Hailat earned his Ph.D. in Computer Science from Wayne State University in 2013. His research interest includes High Performance Computing for massively parallel devices, such as the GPU. One application for his resea.
Edité par LAP LAMBERT Academic Publishing, 2014
ISBN 10 : 3659554634ISBN 13 : 9783659554636
Vendeur : ALLBOOKS1, Salisbury Plain, SA, Australie
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