书目名称 | Parallel Algorithms in Computational Science and Engineering |
编辑 | Ananth Grama,Ahmed H. Sameh |
视频video | |
概述 | Presents core algorithms and compute kernels alongside high-performance science and engineering applications.Describes efficient solutions to a wide variety of computationally demanding applications t |
丛书名称 | Modeling and Simulation in Science, Engineering and Technology |
图书封面 |  |
描述 | 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 sci |
出版日期 | Book 2020 |
关键词 | High-performance computing; HPC; HPC computing; Compute kernel; Parallel Algorithms; Sparse Matrix Comput |
版次 | 1 |
doi | https://doi.org/10.1007/978-3-030-43736-7 |
isbn_softcover | 978-3-030-43738-1 |
isbn_ebook | 978-3-030-43736-7Series ISSN 2164-3679 Series E-ISSN 2164-3725 |
issn_series | 2164-3679 |
copyright | Springer Nature Switzerland AG 2020 |