Parallel Algorithms in Computational Science and Engineering - Rilegato

Rilegato

ISBN 10: 3030437353 ISBN 13: 9783030437350

Casa editrice: Birkhauser, 2020

Riassunto

<div>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:</div><div><ul><li>Computational materials science and engineering</li><li>Computational cardiovascular analysis</li><li>Multiscale analysis of wind turbines and turbomachinery</li><li>Weather forecasting</li><li>Machine learning techniques</li></ul></div><div><i>Parallel Algorithms in Computational Science and Engineering</i> will be an ideal reference for applied mathematicians, engineers, computer scientists, and other researchers who utilize high-performance computing in their work.<br></div>

Su questo libro

Dalla quarta di copertina

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:<div><ul><li>Computational materials science and engineering</li><li>Computational cardiovascular analysis</li><li>Multiscale analysis of wind turbines and turbomachinery</li><li>Weather forecasting</li><li>Machine learning techniques</li></ul></div><div><i>Parallel Algorithms in Computational Science and Engineering</i>&nbsp;will be an ideal reference for applied mathematicians, engineers, computer scientists, and other researchers who utilize high-performance computing in their work.</div>

Dettagli dell?edizione

• Editore: Birkhauser
• Data di pubblicazione: 2020
• ISBN 10: 3030437353
• ISBN 13: 9783030437350
• Rilegatura: Copertina rigida
• Lingua: Inglese
• Numero edizione: 1
• Numero di pagine: 417
• Redattore: Grama Ananth, Sameh Ahmed H.
• Contatto del produttore: non disponibile