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Parallel Algorithms in Computational Science and Engineering (Modeling and Simulation in Science, Engineering and Technology) - Hardcover
Synopsis
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.
"synopsis" may belong to another edition of this title.
From the Back Cover
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.
"About this title" may belong to another edition of this title.
- PublisherBirkhäuser
- Publication date2020
- ISBN 10 3030437353
- ISBN 13 9783030437350
- BindingHardcover
- LanguageEnglish
- Edition number1
- Number of pages429
- EditorGrama Ananth, Sameh Ahmed H.
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Parallel Algorithms in Computational Science and Engineering (Modeling and Simulation in Science, Engineering and Technology)
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Parallel Algorithms in Computational Science and Engineering (Modeling and Simulation in Science, Engineering and Technology)
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Parallel Algorithms in Computational Science and Engineering (Modeling and Simulation in Science, Engineering and Technology)
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Gebunden. Condition: 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. Seller Inventory # 448682149
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Buch. Condition: 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. Seller Inventory # 9783030437350
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Buch. Condition: 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. Seller Inventory # 9783030437350
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Parallel Algorithms in Computational Science and Engineering
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Buch. Condition: 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. Seller Inventory # 9783030437350
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