Parallel Algorithms in Computational Science and Engineering

Ananth Grama, Ahmed H. Sameh (Herausgeber)

Buch | Softcover

XII, 417 Seiten

2021 | 1st ed. 2020
Springer International Publishing (Verlag)
978-3-030-43738-1 (ISBN)

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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.

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.

Erscheinungsdatum	08.07.2021
Reihe/Serie	Modeling and Simulation in Science, Engineering and Technology
Zusatzinfo	XII, 417 p. 189 illus., 159 illus. in color.
Verlagsort	Cham
Sprache	englisch
Maße	155 x 235 mm
Gewicht	658 g
Themenwelt	Mathematik / Informatik ► Informatik ► Theorie / Studium
	Mathematik / Informatik ► Mathematik ► Algebra
	Mathematik / Informatik ► Mathematik ► Analysis
	Mathematik / Informatik ► Mathematik ► Angewandte 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	3-030-43738-8 / 3030437388
ISBN-13	978-3-030-43738-1 / 9783030437381
Zustand	Neuware