Parallel Computing and Computational Science; Science and Engineering Computing Requirements. Parallel Computer Architecture and Memory Model; virtual Parallel Computer. Software platform.
Base of Parallel Algorithms: Load balancing, Synchronization and Communication. Types: Farm, Tree, Pipeline and Teamwork. Design Policy, Techniques and PCMA-Methodology of Parallel Algorithms. Speed up of Parallel Computer.
Practice of Parallel Computing: Building of PC-Cluster, MPI-installation and programming. Problem oriented parallel programming.
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