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Parallel Algorithms in Computational Science and Engineering (Modeling and Simulation in Science, Engineering and Technology) - Hardcover
Inhaltsangabe
State-of-the-Art Sparse Direct Solvers.- The Effect of Various Sparsity Structures on Parallelism and Algorithms to Reveal Those Structures.- Structure-Exploiting Interior Point Methods.- Parallel Hybrid Sparse Linear System Solvers.- Computational Material Science and Engineering.- Computational Cardiovascular Analysis with the Variational Multiscale Methods and Isogeometric Discretization.- ALE and Space-Time Variational Multiscale Isogeometric Analysis of Wind Turbines and Turbomachinery.- Variational Multiscale Flow Analysis in Aerospace, Energy, and Transportation Technologies.- Multiscale Crowd Dynamics Modeling and Safety Problems Towards Parallel Computing.- HPC for Weather Forecasting.- A Simple Study of Pleasing Parallelism on Multicore Computers.- Parallel Fast Time-Domain Integral-Equation Methods for Transient Electromagnetism Analysis.- Parallel Optimization Techniques for Machine Learning.
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This contributed volume highlights two areas of fundamental interest in high-performance computing: core algorithms for important kernels and computationally demanding applications. The first few chapters explore algorithms, numerical techniques, and their parallel formulations for a variety of kernels that arise in applications. The rest of the volume focuses on state-of-the-art applications from diverse domains. By structuring the volume around these two areas, it presents a comprehensive view of the application landscape for high-performance computing, while also enabling readers to develop new applications using the kernels. Readers will learn how to choose the most suitable parallel algorithms for any given application, ensuring that theory and practicality are clearly connected. Applications using these techniques are illustrated in detail, including:
- Computational materials science and engineering
- Computational cardiovascular analysis
- Multiscale analysis of wind turbines and turbomachinery
- Weather forecasting
- Machine learning techniques
Parallel Algorithms in Computational Science and Engineering will be an ideal reference for applied mathematicians, engineers, computer scientists, and other researchers who utilize high-performance computing in their work.
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- VerlagBirkhäuser
- Erscheinungsdatum2020
- ISBN 10 3030437353
- ISBN 13 9783030437350
- EinbandTapa dura
- SpracheEnglisch
- Auflage1
- Anzahl der Seiten432
- HerausgeberGrama Ananth, Sameh Ahmed H.
- Kontakt zum HerstellerNicht verfügbar
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Parallel Algorithms in Computational Science and Engineering
Verlag:
Springer International Publishing, 2020
ISBN 10: 3030437353
ISBN 13: 9783030437350
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Hardcover
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Gebunden. Zustand: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Presents core algorithms and compute kernels alongside high-performance science and engineering applicationsDescribes efficient solutions to a wide variety of computationally demanding applications that are ordinarily time-con. Bestandsnummer des Verkäufers 448682149
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Parallel Algorithms in Computational Science and Engineering (Modeling and Simulation in Science, Engineering and Technology)
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ISBN 10: 3030437353
ISBN 13: 9783030437350
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Parallel Algorithms in Computational Science and Engineering (Modeling and Simulation in Science, Engineering and Technology)
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ISBN 10: 3030437353
ISBN 13: 9783030437350
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Parallel Algorithms in Computational Science and Engineering (Modeling and Simulation in Science, Engineering and Technology)
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Springer (India) Private Limited, 2020
ISBN 10: 3030437353
ISBN 13: 9783030437350
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Parallel Algorithms in Computational Science and Engineering
ISBN 10: 3030437353
ISBN 13: 9783030437350
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Buch. Zustand: Neu. Neuware -This contributed volume highlights two areas of fundamental interest in high-performance computing: core algorithms for important kernels and computationally demanding applications. The first few chapters explore algorithms, numerical techniques, and their parallel formulations for a variety of kernels that arise in applications. The rest of the volume focuses on state-of-the-art applications from diverse domains. By structuring the volume around these two areas, it presents a comprehensive view of the application landscape for high-performance computing, while also enabling readers to develop new applications using the kernels. Readers will learn how to choose the most suitable parallel algorithms for any given application, ensuring that theory and practicality are clearly connected. Applications using these techniques are illustrated in detail, including:Springer Basel AG in Springer Science + Business Media, Heidelberger Platz 3, 14197 Berlin 432 pp. Englisch. Bestandsnummer des Verkäufers 9783030437350
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Parallel Algorithms in Computational Science and Engineering
Verlag:
Springer International Publishing, 2020
ISBN 10: 3030437353
ISBN 13: 9783030437350
Neu
Hardcover
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Buch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - This contributed volume highlights two areas of fundamental interest in high-performance computing: core algorithms for important kernels and computationally demanding applications. The first few chapters explore algorithms, numerical techniques, and their parallel formulations for a variety of kernels that arise in applications. The rest of the volume focuses on state-of-the-art applications from diverse domains. By structuring the volume around these two areas, it presents a comprehensive view of the application landscape for high-performance computing, while also enabling readers to develop new applications using the kernels. Readers will learn how to choose the most suitable parallel algorithms for any given application, ensuring that theory and practicality are clearly connected. Applications using these techniques are illustrated in detail, including:Computational materials science and engineeringComputational cardiovascular analysisMultiscale analysis of wind turbines and turbomachineryWeather forecastingMachine learning techniquesParallel Algorithms in Computational Science and Engineering will be an ideal reference for applied mathematicians, engineers, computer scientists, and other researchers who utilize high-performance computing in their work. Bestandsnummer des Verkäufers 9783030437350
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Parallel Algorithms in Computational Science and Engineering
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Springer International Publishing Jul 2020, 2020
ISBN 10: 3030437353
ISBN 13: 9783030437350
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Hardcover
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Buch. Zustand: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This contributed volume highlights two areas of fundamental interest in high-performance computing: core algorithms for important kernels and computationally demanding applications. The first few chapters explore algorithms, numerical techniques, and their parallel formulations for a variety of kernels that arise in applications. The rest of the volume focuses on state-of-the-art applications from diverse domains. By structuring the volume around these two areas, it presents a comprehensive view of the application landscape for high-performance computing, while also enabling readers to develop new applications using the kernels. Readers will learn how to choose the most suitable parallel algorithms for any given application, ensuring that theory and practicality are clearly connected. Applications using these techniques are illustrated in detail, including:Computational materials science and engineeringComputational cardiovascular analysisMultiscale analysis of wind turbines and turbomachineryWeather forecastingMachine learning techniquesParallel Algorithms in Computational Science and Engineering will be an ideal reference for applied mathematicians, engineers, computer scientists, and other researchers who utilize high-performance computing in their work. 432 pp. Englisch. Bestandsnummer des Verkäufers 9783030437350
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Parallel Algorithms in Computational Science and Engineering (Modeling and Simulation in Science, Engineering and Technology)
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