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 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.