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Librería: Lucky's Textbooks, Dallas, TX, Estados Unidos de America
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Publicado por Springer Nature Singapore, Springer Nature Singapore, 2020
ISBN 10: 9811398046 ISBN 13: 9789811398049
Idioma: Inglés
Librería: AHA-BUCH GmbH, Einbeck, Alemania
EUR 109,94
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Añadir al carritoTaschenbuch. Condición: 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.
Librería: Ria Christie Collections, Uxbridge, Reino Unido
EUR 132,14
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Publicado por Springer Nature Singapore, Springer Nature Singapore, 2019
ISBN 10: 9811398011 ISBN 13: 9789811398018
Idioma: Inglés
Librería: AHA-BUCH GmbH, Einbeck, Alemania
EUR 111,53
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Añadir al carritoBuch. Condición: 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.
Publicado por Springer Nature Singapore, Springer Nature Singapore, 2020
ISBN 10: 9811361967 ISBN 13: 9789811361968
Idioma: Inglés
Librería: AHA-BUCH GmbH, Einbeck, Alemania
EUR 131,13
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Añadir al carritoTaschenbuch. Condición: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book provides basic and practical techniques of parallel computing and related methods of numerical analysis for researchers who conduct numerical calculation and simulation. Although the techniques provided in this book are field-independent, these methods can be used in fields such as physics, chemistry, biology, earth sciences, space science, meteorology, disaster prevention, and manufacturing. In particular, those who develop software code in these areas will find this book useful. The contents are suitable for graduate students and researchers in computational science rather than novices at programming or informed experts in computer science.Starting with an introduction to the recent trends in computer architecture and parallel processing, Chapter 1 explains the basic knowledge of speedup programs with simple examples of numerical computing. Chapters 2 - 4 detail the basics of parallel programming, the message passing interface (MPI), and OpenMP and discuss hybrid parallelization techniques. Showing an actual example of adaptation, Chapter 5 gives an overview of performance tuning and communication optimizations. To deal with dense matrix calculations, Chapter 6 details the basics and practice of linear algebra calculation libraries BLAS and LAPACK, including some examples that can be easily reproduced by readers using free software. Focusing on sparse matrix calculations, Chapter 7 explains high performance algorithms for numerical linear algebra. Chapter 8 introduces the fast Fourier transform in large-scale systems from the basics. Chapter 9 explains optimization and related topics such as debug methods and version control systems. Chapter 10 discusses techniques for increasing computation accuracy as an essential topic in numerical calculation.This is the first of the two volumes that grew out of a series of lectures in the K computer project in Japan. The second volume will focus on advanced techniques and examples of applications in materials science.
Publicado por Springer Nature Singapore, Springer Nature Singapore, 2019
ISBN 10: 9811361932 ISBN 13: 9789811361937
Idioma: Inglés
Librería: AHA-BUCH GmbH, Einbeck, Alemania
EUR 132,72
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Añadir al carritoBuch. Condición: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book provides basic and practical techniques of parallel computing and related methods of numerical analysis for researchers who conduct numerical calculation and simulation. Although the techniques provided in this book are field-independent, these methods can be used in fields such as physics, chemistry, biology, earth sciences, space science, meteorology, disaster prevention, and manufacturing. In particular, those who develop software code in these areas will find this book useful. The contents are suitable for graduate students and researchers in computational science rather than novices at programming or informed experts in computer science.Starting with an introduction to the recent trends in computer architecture and parallel processing, Chapter 1 explains the basic knowledge of speedup programs with simple examples of numerical computing. Chapters 2 - 4 detail the basics of parallel programming, the message passing interface (MPI), and OpenMP and discuss hybrid parallelization techniques. Showing an actual example of adaptation, Chapter 5 gives an overview of performance tuning and communication optimizations. To deal with dense matrix calculations, Chapter 6 details the basics and practice of linear algebra calculation libraries BLAS and LAPACK, including some examples that can be easily reproduced by readers using free software. Focusing on sparse matrix calculations, Chapter 7 explains high performance algorithms for numerical linear algebra. Chapter 8 introduces the fast Fourier transform in large-scale systems from the basics. Chapter 9 explains optimization and related topics such as debug methods and version control systems. Chapter 10 discusses techniques for increasing computation accuracy as an essential topic in numerical calculation.This is the first of the two volumes that grew out of a series of lectures in the K computer project in Japan. The second volume will focus on advanced techniques and examples of applications in materials science.
Publicado por Springer-Nature New York Inc, 2020
ISBN 10: 9811398046 ISBN 13: 9789811398049
Idioma: Inglés
Librería: Revaluation Books, Exeter, Reino Unido
EUR 156,70
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Añadir al carritoPaperback. Condición: Brand New. 216 pages. 9.25x6.10x0.51 inches. In Stock.
Librería: Revaluation Books, Exeter, Reino Unido
EUR 158,75
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Añadir al carritoHardcover. Condición: Brand New. 218 pages. 9.25x6.10x0.71 inches. In Stock.
Publicado por Springer-Nature New York Inc, 2020
ISBN 10: 9811361967 ISBN 13: 9789811361968
Idioma: Inglés
Librería: Revaluation Books, Exeter, Reino Unido
EUR 184,72
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Añadir al carritoPaperback. Condición: Brand New. 232 pages. 9.25x6.10x0.55 inches. In Stock.
Librería: dsmbooks, Liverpool, Reino Unido
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Librería: Revaluation Books, Exeter, Reino Unido
EUR 186,78
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Añadir al carritoHardcover. Condición: Brand New. 232 pages. 9.25x6.10x0.60 inches. In Stock.
Librería: Chiron Media, Wallingford, Reino Unido
EUR 196,31
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Añadir al carritoHardcover. Condición: New.
Librería: GreatBookPricesUK, Woodford Green, Reino Unido
EUR 199,36
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Librería: Mispah books, Redhill, SURRE, Reino Unido
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Librería: GreatBookPrices, Columbia, MD, Estados Unidos de America
EUR 218,69
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Librería: GreatBookPrices, Columbia, MD, Estados Unidos de America
EUR 240,70
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Librería: GreatBookPricesUK, Woodford Green, Reino Unido
EUR 238,52
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Publicado por Taylor & Francis Group, 1999
ISBN 10: 0415156920 ISBN 13: 9780415156929
Idioma: Inglés
Librería: Books Puddle, New York, NY, Estados Unidos de America
EUR 271,26
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Añadir al carritoCondición: New. pp. 308.
Librería: Ria Christie Collections, Uxbridge, Reino Unido
EUR 269,70
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Publicado por Taylor & Francis Group, 1999
ISBN 10: 0415156920 ISBN 13: 9780415156929
Idioma: Inglés
Librería: Biblios, Frankfurt am main, HESSE, Alemania
EUR 278,52
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Publicado por Taylor & Francis Ltd, London, 1999
ISBN 10: 0415156920 ISBN 13: 9780415156929
Idioma: Inglés
Librería: CitiRetail, Stevenage, Reino Unido
Original o primera edición
EUR 282,56
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Añadir al carritoHardcover. Condición: new. Hardcover. This volume provides a non-technical introduction to high performance computing applications together with advice about how beginners can start to write parallel programs. The authors show what HPC can offer geographers and social scientists and how it can be used in GIS. They provide examples of where it has already been used and suggestions for other areas of application in geography and the social sciences. Case studies drawn from geography explain the key principles and help to understand the logic and thought processes that lie behind the parallel programming. Concerned with the art rather than the science of Parallel Programming, this volume provides a plain and practical introduction to a subject that has previously been heavily encrypted in computer jargon. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.