HPC (Unit-2)

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Principles of Parallel Algorithm Design
Preliminaries required for designing a parallel algorithm
Decomposition Techniques
Characteristics of Tasks and Interactions
Mapping techniques for load balancing
Methods for containing Interaction Overheads
Parallel Algorithm Models: Data, Task, Work Pool and Master-Slave Model.
Complexities: Sequential and Parallel Computational Complexity
Anomalies in Parallel Algorithms