To use this feature you must be a registered user of Scopus.
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
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