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The Art of High Performance Computing for Computational Science, Vol. 2: Advanced Techniques and Examples for Materials Science - Hardcover
Synopsis
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.
"synopsis" may belong to another edition of this title.
About the Author
Masaaki Geshi is an Associate Professor at the Institute for NanoScience Design at Osaka University. He received a Ph.D. in science from Kanazawa University in 2000. His research interests include materials design, from first-principles calculations to the synthesis process for new materials, and high-pressure physics.
"About this title" may belong to another edition of this title.
- PublisherSpringer
- Publication date2019
- ISBN 10 9811398011
- ISBN 13 9789811398018
- BindingHardcover
- LanguageEnglish
- Edition number1
- Number of pages215
- EditorGeshi Masaaki
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The Art of High Performance Computing for Computational Science, Vol. 2
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ISBN 10: 9811398011
ISBN 13: 9789811398018
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Buch. Condition: 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. Seller Inventory # 9789811398018
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Gebunden. Condition: 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. Seller Inventory # 297504188
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The Art of High Performance Computing for Computational Science, Vol. 2 : Advanced Techniques and Examples for Materials Science
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Springer Nature Singapore, Springer Nature Singapore, 2019
ISBN 10: 9811398011
ISBN 13: 9789811398018
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Buch. Condition: 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. Seller Inventory # 9789811398018
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