Parallel Algorithms in Computational Science and Engineering (eBook)

Ananth Grama, Ahmed H. Sameh (Herausgeber)

eBook Download: PDF

2020 | 1st ed. 2020
XII, 417 Seiten
Springer International Publishing (Verlag)
978-3-030-43736-7 (ISBN)

Infos

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.

Produkt-Details

• Erscheint lt. Verlag: 6.7.2020
• Reihe/Serie: Modeling and Simulation in Science, Engineering and Technology
• Reihe/Serie: Modeling and Simulation in Science, Engineering and Technology
• Zusatzinfo: XII, 417 p. 189 illus., 159 illus. in color.
• Sprache: englisch
• Themenwelt: Mathematik / Informatik ► Informatik
• Themenwelt: Mathematik / Informatik ► Mathematik
• Schlagworte: Computational Biology • Computational fluid mechanics • Computational Mechanics • computational medicine • computational nanoelectronics • computational science and engineering • Compute kernel • Data science high performance computing • Fluid-Structure Interaction • High-Performance Computing • HPC • HPC computing • large-scale optimization • Materials science and engineering • Microelectromechanical Systems • Parallel Algorithms • Parallel Computing • sparse matrix computations • Supercomputer • Supercomputer algorithm
• ISBN-10: 3-030-43736-1 / 3030437361
• ISBN-13: 978-3-030-43736-7 / 9783030437367