Daniel González

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We study the master-slave paradigm over heterogeneous systems. According to an analytical model, we develop a dynamic programming algorithm that allows to solve the optimal mapping for such paradigm. Our proposal considers heterogeneity due both to computation and also to communication. The optimization strategy used allows us to obtain the set of(More)
Dynamic programming is an important combinatorial optimization technique that has been widely used in various fields such as control theory, operations research, computational biology and computer science. Many authors have described parallel dynamic programming algorithms for the family of multistage problems. More scarce is the literature for the more(More)
In this paper, we invest the domain transfer learning problem with multi-instance data. We assume we already have a well-trained multi-instance dictionary and its corresponding classifier from the source domain, which can be used to represent and classify the bags. But it cannot be directly used to the target domain. Thus we propose to adapt them to the(More)
With the rapid progress in the development of highly active antiretroviral therapy (HAART), the observed patterns in human immunodeficiency virus (HIV) encephalitis has changed, allowing herpesvirus (HV) infection to be controlled. HAART was first administered to HIV patients in Cuba in 2001. Consequently with the aim of investigate the behavior of the HVs(More)