Full tensor gravity gradiometry data inversion: Performance analysis of parallel computing algorithms

Author:

Hou Zhen-Long,Wei Xiao-Hui,Huang Da-Nian,Sun Xu

Publisher

Springer Science and Business Media LLC

Subject

Geophysics

Reference27 articles.

1. Chen, Z. X., Meng, X. H., Guo, L. H., and Liu, G. F., 2012a, GICUDA: A parallel program for 3D correlation imaging of large scale gravity and gravity gradiometry data on graphics processing units with CUDA: Computers & Geosciences, 46, 119–128.

2. Chen, Z. X., Meng, X. H., Guo, L. H., and Liu, G. F., 2012b, Three-dimensional fast forward modeling and the inversion strategy for large scale gravity and gravimetry data based on GPU. Chinese Journal of Geophysics, 55(12), 4069–4077.

3. Cook, S., 2013, CUDA programming: a developer’s guide to parallel computing with GPUs: Chinese Machine Press, Beijing.

4. Couder-Castañeda, C., Ortiz-Alemán, C., Orozco-del-Castillo, M. G., and Nava-Flores, M., 2013, TESLA GPUs versus MPI with OpenMP for the Forward Modeling of Gravity and Gravity Gradient of Large Prisms Ensemble: Journal of Applied Mathematics, 1–15.

5. Ennen, C., and Hall, S., 2011, Structural mapping of the Vinton salt dome, Louisiana, using gravity gradiometry data: 81st Annual International Meeting, SEG, Expanded Abstracts, 830–835.

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