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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…mehr

Produktbeschreibung
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.
Autorenporträt
El Dr. Prakash Choudhary trabaja como profesor asistente en NIT Manipur. Hizo su doctorado en MNIT Jaipur en 2016. Postgrado de VNIT Nagpur en 2012 y graduación de la Universidad de Rajasthan en 2009. Su área de investigación actual es Sistemas Distribuidos, Reconocimiento de Patrones y Procesamiento de Imágenes.