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Document details - Input File Affinity Measure Running on Master-Worker Paradigm with MPI/PVM

Journal Volume 8, Issue 6, November - December 2019, Article 9392125 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.

Input File Affinity Measure Running on Master-Worker Paradigm with MPI/PVM

    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.

  • ISSN: 22786856
  • Source Type: Journal
  • Original language: English

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