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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]

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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
Academic Subject Two:Geosciences
Departments / MOR / COE:Departments > Computer Information Sciences
ID Code:3561
Deposited By: Nazleeni Samiha Haron
Deposited On:20 Dec 2010 06:54
Last Modified:20 Mar 2017 07:32

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