Advanced High Performance Computing

3 class hours, 2 laboratory hours; 4 credits. Foundations of parallel computing. Algorithms for shared- and distributed-memory systems. Parallel computer architectures, performance, decomposition techniques for parallel algorithms, parallel programming models such as Open MP and MPI models, analytical modeling of parallel algorithms. Classical parallel algorithms and their implementation on parallel machines and performance analysis will be discussed. Prerequisites: CSC 326

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