Parallel implementation of stochastic inversion of seismic tomography data

Authors:
Maciej Dwornik;Anna Pięta
Affiliations:
Faculty of Geology, Geophysics and Environment Protection, Department of Geoinformatics and Applied Computer Science, AGH University of Science and Technology, Kraków, Poland;Faculty of Geology, Geophysics and Environment Protection, Department of Geoinformatics and Applied Computer Science, AGH University of Science and Technology, Kraków, Poland
Venue:
PPAM'11 Proceedings of the 9th international conference on Parallel Processing and Applied Mathematics - Volume Part II
Year:
2011

Citing 3
Cited 0

A view of the limitations, opportunities, and challenges in parallel nonlinear optimization

Parallel Computing
Using MPI: portable parallel programming with the message-passing interface

Using MPI: portable parallel programming with the message-passing interface
Genetic algorithms + data structures = evolution programs (3rd ed.)

Genetic algorithms + data structures = evolution programs (3rd ed.)

Quantified Score

Hi-index	0.00

Visualization

Abstract

In this paper parallel implementation of stochastic inversion of seismic tomography data was presented. Classical approach to travel time tomography assumes straight line of seismic rays between sources and receives points and isotropy of geological medium. Such simplifications are potential sources of inaccuracy of the obtained results of travel time tomography. Stochastic methods can be free from these simplifications. On the other hand, this kind of algorithms requires huge number of time consuming calculations. In this work parallelization of two stochastic methods is presented. Different parallel algorithms was applied to presented inversion problems. Obtained results show significant differences in parallel performance of presented inversion algorithms.