Abstract
High performance computing (HPC) fails to satisfy the computational requirements of Seismic Migration (SM) algorithms, due to problems related to computing, the data transference and management ([4]). Therefore, the execution time of these algorithms in state-of-the-art clusters still remain in the order of months [1]. Since SM is one of the standard data processing techniques used in seismic exploration, because it generates an accurate image of the subsurface, oil companies are particularly interested in reducing execution times of SM algorithms.
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