
Parallel Algorithms in Computational Science and Engineering
Birkhäuser (Publisher)
Published on 7. July 2021
Book
Paperback/Softback
XII, 417 pages
978-3-030-43738-1 (ISBN)
Description
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
More details
Product info
Book
Series
Edition
1st ed. 2020
Language
English
Place of publication
Cham
Switzerland
Publishing group
Springer International Publishing
Target group
Professional and scholarly
Illustrations
159 farbige Abbildungen, 30 s/w Abbildungen, 176 farbige Tabellen
176 Tables, color; 159 Illustrations, color; 30 Illustrations, black and white; XII, 417 p. 189 illus., 159 illus. in color.
Dimensions
Height: 235 mm
Width: 155 mm
Thickness: 24 mm
Weight
651 gr
ISBN-13
978-3-030-43738-1 (9783030437381)
DOI
10.1007/978-3-030-43736-7
Schweitzer Classification
Other editions
Additional editions

Ananth Grama | Ahmed H. Sameh
Parallel Algorithms in Computational Science and Engineering
Book
07/2020
1st Edition
Birkhäuser
€139.09
Shipment within 7-9 days
Content
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.