Juan José Rodríguez-Vázquez

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This paper focuses on solving large size optimization problems using GPGPU. Evolutionary Algorithms for solving these optimization problems suffer from the curse of dimensionality, which implies that their performance deteriorates as quickly as the dimensionality of the search space increases. This difficulty makes very challenging the performance studies(More)
GPU computing has spread its capacity over most of the scientific computing areas. Soft computing is aware of the potential of this computing architecture. In order to achieve high performance, practitioners have to deal with the particularities associated with the porting of the problem to the specifications of the GPU card; and specially with an efficient(More)
The analysis of scientific data, specially in different kinds of cosmological studies, has to deal with the increment in data volume. These studies include the calculation of correlation functions such as the Two-point Three-Dimensional Correlation Function. To get the final estimator value for these functions, it is necessary to construct histograms for(More)