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Volume & Issue no: Volume 8, Issue 6, November - December 2019

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Title:
Input File Affinity Measure Running on Master-Worker Paradigm with MPI/PVM
Author Name:
Ewedafe Simon Uzezi
Abstract:
Abstract: In this paper we implement a parallel performance of a type of alternating iterative scheme called Mitchell- Fairweather Double Sweep Method (MF-DS) on 2-D Telegraph Equation (TE) using an input file affinity measure running on a master-worker paradigm. The implementation was carried out using Message Passing Interface (MPI) and Parallel Virtual Machine (PVM). The TE was discretized using the popular finite difference method resulting into MF-DS. Parallel performance and parallel effectiveness of the method using the Input File Affinity Measure (Iaff) was experimentally evaluated and numerical results show its effectiveness and parallel performance. We show in this paper that, the input file affinity measure has scalability performance with less information to schedule tasks. Keywords: Parallel Performance, Input File Affinity, Master-Worker, 2-D Telegraph Equation, MPI.
Cite this article:
Ewedafe Simon Uzezi , " Input File Affinity Measure Running on Master-Worker Paradigm with MPI/PVM" , International Journal of Emerging Trends & Technology in Computer Science (IJETTCS) , Volume 8, Issue 6, November - December 2019 , pp. 001-017 , ISSN 2278-6856.
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International Journal of Emerging Trends & Technology in Computer Science (IJETTCS)
ISSN 2278-6856
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