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

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 imp...

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Main Authors: Aziz, I. A., Sandran, T., Haron, N. S., Hasan, M. H, Mehat, M.
Format: Citation Index Journal
Language:en
Published: 2010
Subjects:
Online Access:http://scholars.utp.edu.my/id/eprint/3561/1/IJCSNS10_Parallelization_latest.pdf
http://scholars.utp.edu.my/id/eprint/3561/
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author Aziz, I. A.
Sandran, T.
Haron, N. S.
Hasan, M. H
Mehat, M.
author_facet Aziz, I. A.
Sandran, T.
Haron, N. S.
Hasan, M. H
Mehat, M.
author_sort Aziz, I. A.
building UTP Resource Centre
collection Institutional Repository
content_provider Universiti Teknologi Petronas
content_source UTP Institutional Repository
continent Asia
country Malaysia
description 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.
format Citation Index Journal
id oai:scholars.utp.edu.my:3561
institution Universiti Teknologi Petronas
language en
publishDate 2010
record_format eprints
spelling oai:scholars.utp.edu.my:35612017-03-20T07:32:33Z http://scholars.utp.edu.my/id/eprint/3561/ Parallelization of noise reduction algorithm for seismic data on a beowulf cluster Aziz, I. A. Sandran, T. Haron, N. S. Hasan, M. H Mehat, M. QA75 Electronic computers. Computer science 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. 2010-01-31 Citation Index Journal PeerReviewed application/pdf en http://scholars.utp.edu.my/id/eprint/3561/1/IJCSNS10_Parallelization_latest.pdf 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]
spellingShingle QA75 Electronic computers. Computer science
Aziz, I. A.
Sandran, T.
Haron, N. S.
Hasan, M. H
Mehat, M.
Parallelization of noise reduction algorithm for seismic data on a beowulf cluster
title Parallelization of noise reduction algorithm for seismic data on a beowulf cluster
title_full Parallelization of noise reduction algorithm for seismic data on a beowulf cluster
title_fullStr Parallelization of noise reduction algorithm for seismic data on a beowulf cluster
title_full_unstemmed Parallelization of noise reduction algorithm for seismic data on a beowulf cluster
title_short Parallelization of noise reduction algorithm for seismic data on a beowulf cluster
title_sort parallelization of noise reduction algorithm for seismic data on a beowulf cluster
topic QA75 Electronic computers. Computer science
url http://scholars.utp.edu.my/id/eprint/3561/1/IJCSNS10_Parallelization_latest.pdf
http://scholars.utp.edu.my/id/eprint/3561/
url_provider http://eprints.utp.edu.my/