Taschenbuch. Zustand: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This book presents advanced and practical techniques for performance optimization for highly parallel processing. Featuring various parallelization techniques in material science, it is a valuable resource for anyone developing software codes for computational sciences such as physics, chemistry, biology, earth sciences, space science, weather, disaster prevention and manufacturing, as well as for anyone using those software codes.Chapter 1 outlines supercomputers and includes a brief explanation of the history of hardware. Chapter 2 presents procedures for performance evaluation, while Chapter 3 describes the set of tuned applications in materials science, nanoscience and nanotechnology, earth science and engineering on the K computer. Introducing the order-N method, based on density functional theory (DFT) calculation, Chapter 4 explains how to extend the applicability of DFT to large-scale systems by reducing the computational complexity. Chapter 5 discusses acceleration and parallelization in classical molecular dynamics simulations, and lastly, Chapter 6 explains techniques for large-scale quantum chemical calculations, including the order-N method.This is the second of the two volumes that grew out of a series of lectures in the K computer project in Japan. The first volume addresses more basic techniques, and this second volume focuses on advanced and concrete techniques. 216 pp. Englisch. Bestandsnummer des Verk�ufers 9789811398049

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The Art of High Performance Computing for Computational Science, Vol. 2: Advanced Techniques and Examples for Materials Science

Verlag: Springer, 2020

ISBN 10: 9811398046 ISBN 13: 9789811398049

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The Art of High Performance Computing for Computational Science, Vol. 2: Advanced Techniques and Examples for Materials Science

Verlag: Springer, 2020

ISBN 10: 9811398046 ISBN 13: 9789811398049

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The Art of High Performance Computing for Computational Science, Vol. 2 : Advanced Techniques and Examples for Materials Science

Masaaki Geshi

Verlag: Springer Nature Singapore, Springer Nature Singapore, 2020

ISBN 10: 9811398046 ISBN 13: 9789811398049

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Taschenbuch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book presents advanced and practical techniques for performance optimization for highly parallel processing. Featuring various parallelization techniques in material science, it is a valuable resource for anyone developing software codes for computational sciences such as physics, chemistry, biology, earth sciences, space science, weather, disaster prevention and manufacturing, as well as for anyone using those software codes.Chapter 1 outlines supercomputers and includes a brief explanation of the history of hardware. Chapter 2 presents procedures for performance evaluation, while Chapter 3 describes the set of tuned applications in materials science, nanoscience and nanotechnology, earth science and engineering on the K computer. Introducing the order-N method, based on density functional theory (DFT) calculation, Chapter 4 explains how to extend the applicability of DFT to large-scale systems by reducing the computational complexity. Chapter 5 discusses acceleration and parallelization in classical molecular dynamics simulations, and lastly, Chapter 6 explains techniques for large-scale quantum chemical calculations, including the order-N method.This is the second of the two volumes that grew out of a series of lectures in the K computer project in Japan. The first volume addresses more basic techniques, and this second volume focuses on advanced and concrete techniques. Bestandsnummer des Verk�ufers 9789811398049

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The Art of High Performance Computing for Computational Science, Vol. 2

Geshi, Masaaki

Verlag: Springer Singapore, 2020

ISBN 10: 9811398046 ISBN 13: 9789811398049

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Kartoniert / Broschiert. Zustand: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Describes advanced and practical techniques for performance optimization in high parallelizationFeatures applications around material scienceIncludes many exercises to help readers gain a better understandingMasaaki Geshi is an Asso. Bestandsnummer des Verk�ufers 405560860

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