Distributed and parallel computing for real-time optimisation

2021 ◽  
pp. 65-75
Keyword(s):  
Parallel Computing ◽  
Real Time ◽  
Distributed And Parallel Computing

Parallelization and analysis of selected numerical algorithms using OpenMP and Pluto on symmetric multiprocessing machine

2019 ◽  
Vol 53 (1) ◽  
pp. 20-32
Author(s):  
Tanvir Habib Sardar ◽  
Ahmed Rimaz Faizabadi
Keyword(s):  
Parallel Computing ◽  
Real Time ◽  
Design Methodology ◽  
Original Work ◽  
Multicore Processors ◽  
Numerical Algorithms ◽  
Huge Amount ◽  
Content Type ◽  
Programming Paradigm ◽  
Symmetric Multiprocessing

PurposeIn recent years, there is a gradual shift from sequential computing to parallel computing. Nowadays, nearly all computers are of multicore processors. To exploit the available cores, parallel computing becomes necessary. It increases speed by processing huge amount of data in real time. The purpose of this paper is to parallelize a set of well-known programs using different techniques to determine best way to parallelize a program experimented.Design/methodology/approachA set of numeric algorithms are parallelized using hand parallelization using OpenMP and auto parallelization using Pluto tool.FindingsThe work discovers that few of the algorithms are well suited in auto parallelization using Pluto tool but many of the algorithms execute more efficiently using OpenMP hand parallelization.Originality/valueThe work provides an original work on parallelization using OpenMP programming paradigm and Pluto tool.

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