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
Institution: Universiti Teknologi Petronas
Record Id / ISBN-0: utp-eprints.3561 /
Published: 2010
Subjects:
QA75 Electronic computers. Computer science
Online Access: http://eprints.utp.edu.my/3561/1/IJCSNS10_Parallelization_latest.pdf
http://eprints.utp.edu.my/3561/
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spelling utp-eprints.35612017-03-20T07:32:33Z 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 http://eprints.utp.edu.my/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] http://eprints.utp.edu.my/3561/
institution Universiti Teknologi Petronas
collection UTP Institutional Repository
topic QA75 Electronic computers. Computer science
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
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
author Aziz, I. A.
Sandran, T.
Haron, N. S.
Hasan, M. H
Mehat, M.
author_sort Aziz, I. A.
title 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_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_sort parallelization of noise reduction algorithm for seismic data on a beowulf cluster
publishDate 2010
url http://eprints.utp.edu.my/3561/1/IJCSNS10_Parallelization_latest.pdf
http://eprints.utp.edu.my/3561/
_version_ 1741196068591239168
score 11.62408

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