Research ArticleOpen AccessGoogle Scholar indexed
A Study on Parallel Computation Based on 3D Forward Algorithm of Gravity
School of Geophysics and Geoinformation Technology, China University of Geosciences, Beijing, China
School of Geophysics and Geoinformation Technology, China University of Geosciences, Beijing, China
School of Geophysics and Geoinformation Technology, China University of Geosciences, Beijing, China
- 1 School of Geophysics and Geoinformation Technology, China University of Geosciences, Beijing, China
- 2 School of Geophysics and Geoinformation Technology, China University of Geosciences, Beijing, China
- 3 School of Geophysics and Geoinformation Technology, China University of Geosciences, Beijing, China
International Journal of Geosciences·Volume 08 (2017)·Pages 1073–1079·Published 14 September 2017·DOI10.4236/ijg.2017.89060
Copy link · social · email
Abstract
Interpretation of geophysical material is the prospecting method. Interpretation of Gravity-megnetic data is based on data processing and inversion. When the grid is divided into several million cells, the computing task is heavy and time-consuming. In order to increase efficiency of the 3D forward modeling, the paper will adopt MPI parallel algorithm and the several processes will deal with data in the method. Finally, we can gather the result. Through comparing the result of sequence algorithm with the result of MPI parallel algorithm, we can see the result is the same. When the number of processes is 2 to 8, the speed-up ratio is 1.97 to 5. The MPI parallel algorithm is very efficient.
KeywordsGravity3D Forward ModelingParallel AlgorithmMPI
- Yang, W.C., Shi, Z.Q., Hou, Z.Z., et al. (2001) Discrete Wavelet Transform and Gravity Anomaly Decomposition. Chinese Journal of Geophysics, 44, 534-541.
- Li, J. and Zhou, Y.X. (2000) Principle of Multi-Scale Gravity-Magnetic Field. Global geology, 19, 379-391.
- Yang, Y.S., Liu, T.Y. and Li, Y.Y. (2005) The Three-Dimensional Visualization Inversion of the Gravity-Magnetic Field for Arbitrary Shape by Means of Numerical Integration. Geology and Prospecting.
- Lin, Z.M. and Chen, S.Q. (1996) 3D Gravity-Magnetic Interaction Interpretation and Separation of Regional and Local Anomalies. Chinese Journal of Geophysics, 39, 705-711.
- Yao, C.L., Zheng, Y.M. and Zhang, Y.W. (2007) 3D Gravity-Magnetic Inversion by Means of Random Subdomain Method. Chinese Journal of Geophysics, 50, 1576-1583.
- Yao, C.L., Hao, T.Y., et al. (2003) The High Speed Computation and Storage Method for 3D Gravity-Magnetic Genetic Inversion Algorithm. Chinese Journal of Geophysics, 46, 252-258
- Zheng, Y.M. (2011) The Research of 3D Gravity-Magnetic Real-Time and Visualization. PHD Paper, China University of Geosciences, Beijing.
- Yao, C.L. and Guan, Z.N. (1997) Computation of Magnetic Gradients Due to Three-Dimensional Bodies. Science in China Series D: Earth Sciences, 40, 293-299.
- Zhang, S. (2009) High-Performance Computing, CUDA. China WaterPower Press, Beijing.
- Chen, Z.X., Meng, X.H., Guo, L.H., Liu, G.F. (2012) GPU Parallel High Speed Computation for 3D Gravity and Gravity Gradient Forward and Inversion Algorithm.
- Yao, C.L. and Zheng, Y.M. (2002) Dynamic Array Optimization for 3D Gravity-Magnetic Genetic Inversion Algorithm. Computing Techniques for Geophysical and Geochemical, 24, 240-245.
- Shen, N.H. and Guan, Z.N. (1985) Magnetic Prospecting. Geological Publish House, London.
- Du, Z.H. (2001) Parallel Computation Technology.
- Zhang, W.S. and Xue, W. (2009) Parallel Programming with MPI. Tsinghua University Press, Beijing.
- Wang, M., Tan, H.D., Lin, C.H., et al. (2015) A Study on Parallel Computation Based on Finite element Forward Modeling of 2D Magnetotelluric. International Journal of Geosciences, 6, 863-868. https://doi.org/10.4236/ijg.2015.68070