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Viser: Numerical Linear Algebra
Numerical Linear Algebra
Frederic Magoules og Abal-Kassim Cheik Ahamed
(2029)
Sprog: Engelsk
Elsevier
1.283,00 kr.
Denne bog er endnu ikke udgivet. Den forventes Dec 2029.
Detaljer om varen
- Hardback: 200 sider
- Udgiver: Elsevier (December 2029)
- Forfattere: Frederic Magoules og Abal-Kassim Cheik Ahamed
- ISBN: 9781785482441
As per the constant need to solve larger and larger numerical problems, it is not possible to neglect the opportunity that comes from the close adaptation of computational algorithms and their implementations for particular features of computing devices, i.e. the characteristics and performance of available workstations and servers. In the last decade, the advances in hardware manufacturing, the decreasing cost and the spread of GPUs have attracted the attention of researchers for numerical simulations, given that for some problems, GPU-based simulations can significantly outperform the ones based on CPUs. The objective of this book is first to present how to design in a context of GPGPU numerical methods in order to obtain the highest efficiency. A second objective of this book is to propose new auto-tuning techniques to optimize access on GPU. A third objective of this book is to propose new preconditioning techniques for GPGPU. Finally, an original energy consumption model is proposed, leading to a robust and accurate energy consumption prediction model.
- Presents step-by-step patterns for parallel programming on GPU
- Helps to implement efficient linear algebra operations on GPU
- Helps to implement efficient iterative methods on GPU
- Proposes new techniques to speed-up algorithms through auto-tuning on GPU
- Proposes new preconditioning techniques on GPU
- Proposed new approach to measure and to predict energy consumption of a scientific application on GPU
1. GPU Computing
2. Basics of numerical matrix analysis
3. Linear Algebra Operations
4. Direct Methods
5. Iterative Methods
6. Parallel Iterative Methods
7. Parallel Preconditioning Methods
8. Energy Consumption
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