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Parallel Algorithms in Computational Science and Engineering. 1st ed. 2020.
・ISBN 978-3-030-43735-0 hard EUR 129.99
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| 著者・編者 | Grama, Ananth / Sameh, Ahmed H. (eds.), |
|---|---|
| シリーズ | Modeling and Simulation in Science, Engineering and Technology |
| 出版社 | (Springer Nature Switzerland AG, SZ) |
| 出版年月 | 2020 |
| ページ数 | 417 pp. |
| 言語 | ENG |
| ニュース番号 | ＜M25-6378＞ |
解説
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