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Add to basketSoftcover. Condition: Bon. Ancien livre de bibliothèque avec équipements. Edition 2010. Ammareal reverse jusqu'à 15% du prix net de cet article à des organisations caritatives. ENGLISH DESCRIPTION Book Condition: Used, Good. Former library book. Edition 2010. Ammareal gives back up to 15% of this item's net price to charity organizations.
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Published by CRC Press, 2024
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Soft cover. Condition: New. 330pp.
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Seller: GreatBookPricesUK, Woodford Green, United Kingdom
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Language: English
Published by Taylor & Francis Group, 2010
ISBN 10: 143981192X ISBN 13: 9781439811924
Seller: Books Puddle, New York, NY, U.S.A.
Condition: New. pp. 356 Index 1st Edition.
Language: English
Published by Taylor & Francis Inc, 2010
ISBN 10: 143981192X ISBN 13: 9781439811924
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Add to basketPaperback / softback. Condition: New. New copy - Usually dispatched within 4 working days.
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Published by Taylor and Francis Inc, US, 2010
ISBN 10: 143981192X ISBN 13: 9781439811924
Seller: Rarewaves USA, OSWEGO, IL, U.S.A.
Paperback. Condition: New. Written by high performance computing (HPC) experts, Introduction to High Performance Computing for Scientists and Engineers provides a solid introduction to current mainstream computer architecture, dominant parallel programming models, and useful optimization strategies for scientific HPC. From working in a scientific computing center, the authors gained a unique perspective on the requirements and attitudes of users as well as manufacturers of parallel computers.The text first introduces the architecture of modern cache-based microprocessors and discusses their inherent performance limitations, before describing general optimization strategies for serial code on cache-based architectures. It next covers shared- and distributed-memory parallel computer architectures and the most relevant network topologies. After discussing parallel computing on a theoretical level, the authors show how to avoid or ameliorate typical performance problems connected with OpenMP. They then present cache-coherent nonuniform memory access (ccNUMA) optimization techniques, examine distributed-memory parallel programming with message passing interface (MPI), and explain how to write efficient MPI code. The final chapter focuses on hybrid programming with MPI and OpenMP.Users of high performance computers often have no idea what factors limit time to solution and whether it makes sense to think about optimization at all. This book facilitates an intuitive understanding of performance limitations without relying on heavy computer science knowledge. It also prepares readers for studying more advanced literature.Read about the authors' recent honor: Informatics Europe Curriculum Best Practices Award for Parallelism and Concurrency.
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Language: English
Published by Taylor & Francis Group, 2010
ISBN 10: 143981192X ISBN 13: 9781439811924
Seller: Biblios, Frankfurt am main, HESSE, Germany
Condition: New. pp. 356.
Language: English
Published by Taylor and Francis Inc, US, 2010
ISBN 10: 143981192X ISBN 13: 9781439811924
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Add to basketPaperback. Condition: New. Written by high performance computing (HPC) experts, Introduction to High Performance Computing for Scientists and Engineers provides a solid introduction to current mainstream computer architecture, dominant parallel programming models, and useful optimization strategies for scientific HPC. From working in a scientific computing center, the authors gained a unique perspective on the requirements and attitudes of users as well as manufacturers of parallel computers.The text first introduces the architecture of modern cache-based microprocessors and discusses their inherent performance limitations, before describing general optimization strategies for serial code on cache-based architectures. It next covers shared- and distributed-memory parallel computer architectures and the most relevant network topologies. After discussing parallel computing on a theoretical level, the authors show how to avoid or ameliorate typical performance problems connected with OpenMP. They then present cache-coherent nonuniform memory access (ccNUMA) optimization techniques, examine distributed-memory parallel programming with message passing interface (MPI), and explain how to write efficient MPI code. The final chapter focuses on hybrid programming with MPI and OpenMP.Users of high performance computers often have no idea what factors limit time to solution and whether it makes sense to think about optimization at all. This book facilitates an intuitive understanding of performance limitations without relying on heavy computer science knowledge. It also prepares readers for studying more advanced literature.Read about the authors' recent honor: Informatics Europe Curriculum Best Practices Award for Parallelism and Concurrency.
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Add to basketPaperback. Condition: Brand New. 1st edition. 330 pages. 9.00x5.75x0.75 inches. In Stock.
Language: English
Published by Taylor and Francis Inc, US, 2010
ISBN 10: 143981192X ISBN 13: 9781439811924
Seller: Rarewaves USA United, OSWEGO, IL, U.S.A.
Paperback. Condition: New. Written by high performance computing (HPC) experts, Introduction to High Performance Computing for Scientists and Engineers provides a solid introduction to current mainstream computer architecture, dominant parallel programming models, and useful optimization strategies for scientific HPC. From working in a scientific computing center, the authors gained a unique perspective on the requirements and attitudes of users as well as manufacturers of parallel computers.The text first introduces the architecture of modern cache-based microprocessors and discusses their inherent performance limitations, before describing general optimization strategies for serial code on cache-based architectures. It next covers shared- and distributed-memory parallel computer architectures and the most relevant network topologies. After discussing parallel computing on a theoretical level, the authors show how to avoid or ameliorate typical performance problems connected with OpenMP. They then present cache-coherent nonuniform memory access (ccNUMA) optimization techniques, examine distributed-memory parallel programming with message passing interface (MPI), and explain how to write efficient MPI code. The final chapter focuses on hybrid programming with MPI and OpenMP.Users of high performance computers often have no idea what factors limit time to solution and whether it makes sense to think about optimization at all. This book facilitates an intuitive understanding of performance limitations without relying on heavy computer science knowledge. It also prepares readers for studying more advanced literature.Read about the authors' recent honor: Informatics Europe Curriculum Best Practices Award for Parallelism and Concurrency.
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Language: English
Published by Taylor and Francis Inc, US, 2010
ISBN 10: 143981192X ISBN 13: 9781439811924
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Add to basketPaperback. Condition: New. Written by high performance computing (HPC) experts, Introduction to High Performance Computing for Scientists and Engineers provides a solid introduction to current mainstream computer architecture, dominant parallel programming models, and useful optimization strategies for scientific HPC. From working in a scientific computing center, the authors gained a unique perspective on the requirements and attitudes of users as well as manufacturers of parallel computers.The text first introduces the architecture of modern cache-based microprocessors and discusses their inherent performance limitations, before describing general optimization strategies for serial code on cache-based architectures. It next covers shared- and distributed-memory parallel computer architectures and the most relevant network topologies. After discussing parallel computing on a theoretical level, the authors show how to avoid or ameliorate typical performance problems connected with OpenMP. They then present cache-coherent nonuniform memory access (ccNUMA) optimization techniques, examine distributed-memory parallel programming with message passing interface (MPI), and explain how to write efficient MPI code. The final chapter focuses on hybrid programming with MPI and OpenMP.Users of high performance computers often have no idea what factors limit time to solution and whether it makes sense to think about optimization at all. This book facilitates an intuitive understanding of performance limitations without relying on heavy computer science knowledge. It also prepares readers for studying more advanced literature.Read about the authors' recent honor: Informatics Europe Curriculum Best Practices Award for Parallelism and Concurrency.
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
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Condition: New. 1st edition NO-PA16APR2015-KAP.
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Add to basketGebunden. Condition: New. Georg Hager is a senior research scientist in the high performance computing group of the Erlangen Regional Computing Center at the University of Erlangen-Nuremberg in Germany. Gerhard Wellein leads the high performance computing group of the Erlangen Reg.
Seller: Biblios, Frankfurt am main, HESSE, Germany
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Language: English
Published by Taylor & Francis Ltd Nov 2017, 2017
ISBN 10: 1138470899 ISBN 13: 9781138470897
Seller: AHA-BUCH GmbH, Einbeck, Germany
Buch. Condition: Neu. Neuware - Suitable for scientists, engineers, and students, this book presents a practical introduction to high performance computing (HPC). It discusses the architecture of modern processors, providing a solid understanding of the performance potentials and limitations of current architectures and code.