Overview
- Presents core algorithms and compute kernels alongside high-performance science and engineering applications
- Describes efficient solutions to a wide variety of computationally demanding applications that are ordinarily time-consuming
- Provides a state-of-the-art reference for researchers and practitioners
Part of the book series: Modeling and Simulation in Science, Engineering and Technology (MSSET)
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About this book
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:
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.
- 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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Keywords
- High-performance computing
- HPC
- HPC computing
- Compute kernel
- Parallel Algorithms
- Sparse Matrix Computations
- Data science high performance computing
- Large-scale optimization
- Computational biology
- Materials Science and Engineering
- Fluid-structure interaction
- Computational Medicine
- Parallel Computing
- Computational Science and Engineering
- Computational Mechanics
- Computational Fluid Mechanics
- Computational Nanoelectronics
- Microelectromechanical Systems
- Supercomputer
- Supercomputer algorithm
Table of contents (13 chapters)
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Front Matter
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High Performance Computational Science and Engineering Applications
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Front Matter
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Editors and Affiliations
Bibliographic Information
Book Title: Parallel Algorithms in Computational Science and Engineering
Editors: Ananth Grama, Ahmed H. Sameh
Series Title: Modeling and Simulation in Science, Engineering and Technology
DOI: https://doi.org/10.1007/978-3-030-43736-7
Publisher: Birkhäuser Cham
eBook Packages: Mathematics and Statistics, Mathematics and Statistics (R0)
Copyright Information: Springer Nature Switzerland AG 2020
Hardcover ISBN: 978-3-030-43735-0Published: 07 July 2020
Softcover ISBN: 978-3-030-43738-1Published: 07 July 2021
eBook ISBN: 978-3-030-43736-7Published: 06 July 2020
Series ISSN: 2164-3679
Series E-ISSN: 2164-3725
Edition Number: 1
Number of Pages: XII, 417
Number of Illustrations: 30 b/w illustrations, 159 illustrations in colour
Topics: Computational Science and Engineering, Linear Algebra, Mathematical Applications in Computer Science, Numerical Analysis