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Document details - Distributed Performance Improvement of Alternating Iterative Methods Running on Master-Worker Paradigm with MPI

Journal Volume 8, Issue 2, March - April 2019, Article 9212086 Ewedafe Simon Uzezi, Rio Hirowati Shariffudin , " Distributed Performance Improvement of Alternating Iterative Methods Running on Master-Worker Paradigm with MPI" , International Journal of Emerging Trends & Technology in Computer Science (IJETTCS) , Volume 8, Issue 2, March - April 2019 , pp. 017-027 , ISSN 2278 - 6856.

Distributed Performance Improvement of Alternating Iterative Methods Running on Master-Worker Paradigm with MPI

    Ewedafe Simon Uzezi, Rio Hirowati Shariffudin

Abstract

Abstract: In this paper we present methods that can improve numerical parallel implementation using a scalability-related measure called input file affinity measure on 2-D Telegraph Equation running on a master-worker paradigm. The implementation was carried out using Message Passing Interface (MPI). The Telegraph Equation was discretized using Alternating Direction Implicit (ADI), Iterative Alternating Direction Explicit Method by D’Yakonov (IADE-DY) and Mitchell-Fairweather Double Sweep Method (MF-DS). Parallel performance compare of these methods using the Input File Affinity Measure (Iaff) were experimentally evaluated and numerical results show their effectiveness and parallel performance. We show in this paper that, the input file affinity measure has scalability performance with less information to schedule tasks

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

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