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Full Description
The lectures presented in this text deal to a large extent with algorithmic, programming and implementation issues, as well as experiences gained so far on parallel platforms. Attention is also given to mathematics aspects, notably: domain decomposition and scalable algorithms; parallelization strategies; programming aspects; parallel algorithms; applications in computational fluid dynamics; and the present hardware situation and developments to be expected. The book is addressed to students on a graduate level and researchers in industry engaged in scientific computing, who have little or no experience with high performance computing, but who want to learn more, and/or want to port their code to parallel platforms. It should be a good starting point for those who want to enter the field of high performance computing, especially if applications in fluid dynamics are envisaged.
Contents
1. Introduction to Parallel Computers: Architecture and Algorithms.- 2. Programming Aspects and Algorithms for Vector- and Parallel Computers.- 3. Porting Industrial Codes on High-Performance Computers.- 4. Load Balancing for Computational Fluid Dynamics.- 5. Parallel Linear Systems Solvers: Sparse Iterative Methods.- 6. High Performance Computing of Turbulent Flows.- 7. Data-Parallel Solution of the Incompressible Navier-Stokes Equations.- 8. High Performance Computing: Trends and Expectations.



