Advances in Parallel Algorithms.
Abhiram Ranade, Lydia Kronsjö, Dean Shumsheruddin
Abstract
Abhiram Ranade, Lydia Kronsjö, Dean Shumsheruddin
Abstract
Supercomputers, pipelining and farming Parallel computing paradigms Neural network paradigm Parallel task-driven versus process-driven approaches Parallel branch-and-bound method Parallel divide-and-conquer approach Parallel tree and graph searching Parallel algebraic transformation approach Parallel approximate and probabilistic methods Parallel dynamic programming method Parallel exploration of maze Parallel graph reduction algorithms Parallel algorithms for matrix operations Parallel pattern recognition methods Parallel stable marriage problem Parallel travelling salesman problem Neural network approach Computational complexity of parallel algorithms Performance evaluation of parallel algorithms.
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Supercomputers, pipelining and farming Parallel computing paradigms Neural network paradigm Parallel task-driven versus process-driven approaches Parallel branch-and-bound method Parallel divide-and-conquer approach Parallel tree and graph searching Parallel algebraic transformation approach Parallel approximate and probabilistic methods Parallel dynamic programming method Parallel exploration of maze Parallel graph reduction algorithms Parallel algorithms for matrix operations Parallel pattern recognition methods Parallel stable marriage problem Parallel travelling salesman problem Neural network approach Computational complexity of parallel algorithms Performance evaluation of parallel algorithms.
Key concepts: Mathematics, Algorithm