[an error occurred while processing this directive] Global Geology 2018, 21(2) 114-119 DOI:   10.3969/j.issn.1673-9736.2018.02.04  ISSN: 1673-9736 CN: 22-1371/P
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GPU
CUDA
gravity inversion
conjugate gradient method
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WANG Xusheng
ZENG Zhaofa
PubMed
Article by Wang X
Article by Zeng Z
3D fast inversion of gravity data based on GPU
WANG Xusheng, ZENG Zhaofa
College of Geo-Exploration Science and Technology, Changchun 130026, China
ժҪ�� Large-scale gravity 3D interpretation depends on efficient and high-resolution 3D inversion processing of massive data.The authors applied the conjugate gradient method with minimum support function and prior model constraint to reduce multi-solutions in gravity inversion.Based on the parallel programming and computing platform NVIDIA CUDA with C++language,we achieve fast 3D gravity inversion by adopting GPU parallel technique into the most time consuming part relating to sensitivity matrix.The results of theoretical model show that the abnormal body can be clearly located and the inversion speed is improved greatly.Comparing with inversion speed of the Matlab program,speed of inversion with GPU parallel technique has improved more than 100 times under the hardware condition of Geforce GTX 1060 graphics card.
�ؼ����� GPU   CUDA   gravity inversion   conjugate gradient method  
3D fast inversion of gravity data based on GPU
WANG Xusheng, ZENG Zhaofa
College of Geo-Exploration Science and Technology, Changchun 130026, China
Abstract: Large-scale gravity 3D interpretation depends on efficient and high-resolution 3D inversion processing of massive data.The authors applied the conjugate gradient method with minimum support function and prior model constraint to reduce multi-solutions in gravity inversion.Based on the parallel programming and computing platform NVIDIA CUDA with C++language,we achieve fast 3D gravity inversion by adopting GPU parallel technique into the most time consuming part relating to sensitivity matrix.The results of theoretical model show that the abnormal body can be clearly located and the inversion speed is improved greatly.Comparing with inversion speed of the Matlab program,speed of inversion with GPU parallel technique has improved more than 100 times under the hardware condition of Geforce GTX 1060 graphics card.
Keywords: GPU   CUDA   gravity inversion   conjugate gradient method  
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DOI: 10.3969/j.issn.1673-9736.2018.02.04
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Supported by Project of Geophysical Comprehensive Survey and Information Extraction of Deep Mineral Resources (No.2016YFC0600505).

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