Parallelization of noise reduction algorithm for seismic data on a beowulf cluster

Aziz, I. A. and Sandran, T. and Haron, N. S. and Hasan, M. H and Mehat, M. (2010) Parallelization of noise reduction algorithm for seismic data on a beowulf cluster. [Citation Index Journal]

[thumbnail of IJCSNS10_Parallelization_latest.pdf] PDF
IJCSNS10_Parallelization_latest.pdf - Published Version
Restricted to Registered users only until 31 January 2011.

Download (208kB) | Request a copy

Abstract

This paper presents the parallelization of a sequential
noise reduction algorithm for seismic data processing into
a parallel algorithm. The parallel algorithm was developed
using C language with the utilization of the Message
Passing Interface (MPI) library. The proposed algorithm
has been implemented on an experimental Beowulf cluster
which consists of 12 nodes operating on Linux Ubuntu
platform. The system was tested with various test
scenarios to gauge its performance. Based on the results
obtained, it can be concluded that parallel implementation
of the noise reduction algorithm has significantly reduced
the processing time.

Item Type: Citation Index Journal
Subjects: Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Departments / MOR / COE: Departments > Computer Information Sciences
Depositing User: Nazleeni Samiha Haron
Date Deposited: 20 Dec 2010 06:54
Last Modified: 20 Mar 2017 07:32
URI: http://scholars.utp.edu.my/id/eprint/3561

Actions (login required)

View Item
View Item