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- W2051440318 abstract "Curvature attributes have been widely used for visualization of folds, flexures, faults, collapse features, among others interesting features in seismic data. This work presents a parallel approach to compute volumetric curvature attributes for seismic data on GPU and CPU (sequential and parallel). We compare the results using different derivative operator size for sequential and the parallel approaches. The results show that for high derivative operator size the parallel approach performed on GPU can achieve further speed up than the other approaches. Also, using the proposed GPU approach, it is possible to visualize volume sections in interaction time." @default.
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- W2051440318 date "2014-09-07" @default.
- W2051440318 modified "2023-09-26" @default.
- W2051440318 title "Accelerating Curvature Attributes on GPUs" @default.
- W2051440318 doi "https://doi.org/10.3997/2214-4609.20141919" @default.
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