Parallel Algorithms in Computational Science and Engineering
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Beschreibung
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
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
Presents core algorithms and compute kernels alongside high-performance science and engineering applications Describes efficient solutions to a wide variety of computationally demanding applications that are ordinarily time-consuming Provides a state-of-the-art reference for researchers and practitioners
Autor*in
Ananth Grama
Themen in »Parallel Algorithms in Computational Science and Engineering«
High-performance computing HPC HPC computing Compute kernel Parallel Algorithms Sparse Matrix Computations Data science high performance computing Large-scale optimization Computational biology Materials Science and Engineering Fluid-structure interaction Computational Medicine Parallel Computing Computational Mechanics Computational Fluid Mechanics