Alias, N. and Suhari, N. N. Y. and Saipol, H. F. S. and Dahawi, A. A. and Saidi, M. M. and Hamlan, H. A. and Teh, C. R. C. (2016) Parallel computing of numerical schemes and big data analytic for solving real life applications. Jurnal Teknologi, 78 (8-2). pp. 151-162. ISSN 0127-9696
|
PDF
906kB |
Official URL: https://www.scopus.com/inward/record.uri?eid=2-s2....
Abstract
This paper proposed the several real life applications for big data analytic using parallel computing software. Some parallel computing software under consideration are Parallel Virtual Machine, MATLAB Distributed Computing Server and Compute Unified Device Architecture to simulate the big data problems. The parallel computing is able to overcome the poor performance at the runtime, speedup and efficiency of programming in sequential computing. The mathematical models for the big data analytic are based on partial differential equations and obtained the large sparse matrices from discretization and development of the linear equation system. Iterative numerical schemes are used to solve the problems. Thus, the process of computational problems are summarized in parallel algorithm. Therefore, the parallel algorithm development is based on domain decomposition of problems and the architecture of difference parallel computing software. The parallel performance evaluations for distributed and shared memory architecture are investigated in terms of speedup, efficiency, effectiveness and temporal performance.
Item Type: | Article |
---|---|
Uncontrolled Keywords: | Big data, Domain decomposition, Parallel algorithm, Parallel computing, PVM |
Subjects: | Q Science > Q Science (General) |
Divisions: | Science |
ID Code: | 74340 |
Deposited By: | Widya Wahid |
Deposited On: | 28 Nov 2017 06:27 |
Last Modified: | 28 Nov 2017 06:27 |
Repository Staff Only: item control page