Study of Parallelization of Algorithms using OpenMP
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This book provides a set of pragma's for programmers to parallelize their code. It explains the concept of parallel processing and the concept of OpenMP and how it is used in the C/C++ programs for effective utilization of available no. of cores/processors. Also illustrates the basic concepts of parallel computing with a brief overview of OpenMP. Describes an analysis of algorithms from different fields like Matrix Multiplication, Saddle point, Cholesky decomposition, LU decomposition, Pi Value using Monte Carlo method. The observations and results obtained show that how the usage of OpenMP's ...
This book provides a set of pragma's for programmers to parallelize their code. It explains the concept of parallel processing and the concept of OpenMP and how it is used in the C/C++ programs for effective utilization of available no. of cores/processors. Also illustrates the basic concepts of parallel computing with a brief overview of OpenMP. Describes an analysis of algorithms from different fields like Matrix Multiplication, Saddle point, Cholesky decomposition, LU decomposition, Pi Value using Monte Carlo method. The observations and results obtained show that how the usage of OpenMP's Pragma are effective in the normal C/C++ programs and how the result varies according to the inputs and available no. of threads and shows that it is useful only when we are working on large data set or large computations are involved in the given problem.
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