Parallel Algorithms in Computational Science and Engineering (1st ed. 2020) (Modeling and Simulation in Science, Engineering and Technology)
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- Synopsis
- 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 engineeringComputational cardiovascular analysisMultiscale analysis of wind turbines and turbomachineryWeather forecastingMachine learning techniquesParallel 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.
- Copyright:
- 2020
Book Details
- Book Quality:
- Publisher Quality
- ISBN-13:
- 9783030437367
- Related ISBNs:
- 9783030437350
- Publisher:
- Springer International Publishing
- Date of Addition:
- 08/02/20
- Copyrighted By:
- Springer
- Adult content:
- No
- Language:
- English
- Has Image Descriptions:
- No
- Categories:
- Nonfiction, Computers and Internet, Mathematics and Statistics
- Submitted By:
- Bookshare Staff
- Usage Restrictions:
- This is a copyrighted book.
- Edited by:
- Ananth Grama
- Edited by:
- Ahmed H. Sameh
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- by Ananth Grama
- by Ahmed H. Sameh
- in Nonfiction
- in Computers and Internet
- in Mathematics and Statistics