PARALLEL PROCESSING PROBLEM AND SOLUTION - A CASE STUDY ON MATLAB PARALLEL COMPUTING TOOLBOX CLUSTERS AND CLOUDS

Kamilah binti Kamarudin #1, Mohamed Faidz Mohamed Said #2

# Faculty of Computer and Mathematical Sciences, Universiti Teknologi MARA
70300 Seremban, Negeri Sembilan, MALAYSIA

1 kamilah1908@gmail.com
2 faidzms@ieee.org


Abstract—The number of MATLAB users in networked computers on multi-processing systems is increasing. However, their parallel processing and exploitation for distributed systems is still a longing mission. This is due to the concepts on the application layer that ignore similar packages. Based on the multiple MATLAB cases and another non-MATLAB software, a MATLAB toolbox permits interactive development, execution of distributed and validation and parallel applications to satisfy this deficiency. In this paper, related efforts are shown in evaluating, applying, developing cluster and cloud tools on MATLAB. For local computer, the computing task is too big. It might be needed to divest calculation to interacted nodes on a computer cluster. The nodes could be a cluster or a local cluster in the cloud. Cost, redundancy and presence are the advantages of existing nodes inside the clouds. Google Docs is an application that is offered to use from any computer, anywhere and anytime for collaborations and writing. Computational workloads have been shared to multiple computers that are connected together for load balancing clusters.  Rationally they are many computers but they work as solitary virtual computers. Besides, through excessive nodes, extreme accessibility clusters can control, and upon malfunction, the standby node will take care.

Keywords: clouds, clusters, MapReduce, multiprocessor



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