CUDA Parallel Algorithms for Forward and Inverse Structural Gravity Problems

Alexander Tsidaev
Bulashevich Institute of Geophysics, Yekaterinburg, Russia
1st Ural Workshop on Parallel, Distributed, and Cloud Computing for Young Scientists (Ural-PDC), 2015


   title={CUDA Parallel Algorithms for Forward and Inverse Structural Gravity Problems},

   author={Tsidaev, Alexander},



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This paper describes usage of CUDA parallelization scheme for forward and inverse gravity problems for structural boundaries. Forward problem is calculated using the finite elements approach. This means that the whole calculation volume is split into parallelepipeds and then the gravity effect of each is calculated using known formula. Inverse problem solution is found using iteration local corrections method. This method requires only forward problem calculation on each iteration and does not use the operator inversion. Obtained results show that even cheap consumer video cards are highly effective for algorithm parallelization.
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