High-Performance Scientific Computing
Language: English
Published by Springer London, 2014
- Softcover
- New
Condition: New
£ 79.48
Quantity: Over 20 available
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Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Presents the state of the art in parallel numerical algorithms, applications, architectures, and system software, with contributions from an international selection of world-class authoritiesReviews emerging applications of numerical methods in in.
Seller Inventory # 4185420
- Title
- High-Performance Scientific Computing
- Author
- Berry, Michael W.|Gallivan, Kyle A.|Gallopoulos, Efstratios|Grama, Ananth|Philippe, Bernard|Saad, Yousef|Saied, Faisal
- Publisher
- Springer London
- Publication year
- 2014
- Condition
- New
- Binding
- Soft cover
- Language
- English
- ISBN 10
- 1447158881
- ISBN 13
- 9781447158882
"Synopsis" may belong to another edition of this title.
From the Back Cover
Advances in the development of parallel algorithms and system software now enable the ever-increasing power of scalable high-performance computers to be harnessed for scientific computing applications at fidelities that rival – and in many cases exceed – experimental methodologies.
This comprehensive text/reference, inspired by the visionary work of Prof. Ahmed H. Sameh, represents the state of the art in parallel numerical algorithms, applications, architectures, and system software. Articles in this collection address solutions to various challenges arising from concurrency, scale, energy efficiency, and programmability. These solutions are discussed in the context of diverse applications, ranging from scientific simulations to large-scale data analysis and mining.
Topics and features:
- Includes contributions from an international selection of world-class authorities, inspired by the work of Prof. Ahmed H. Sameh
- Examines various aspects of parallel algorithm-architecture interaction through articles on computational capacity-based codesign and automatic restructuring of programs using compilation techniques
- Reviews emerging applications of numerical methods in information retrieval and data mining
- Discusses the latest issues in dense and sparse matrix computations for modern high-performance systems, multicores, manycores and GPUs, and several perspectives on the Spike family of algorithms for solving linear systems
- Presents outstanding challenges and developing technologies, and puts these in their historical context
This authoritative reference is a must-read for researchers and graduate students in disciplines as diverse as computational fluid dynamics, signal processing, and structural mechanics. Professionals involved in applications that rely on high-performance computers will also find the text an essential resource.
"About the title" may belong to another edition of this title.
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