My main interest is on high performance computing methods and tools, applied to domains such as artificial intelligence and bio-inspired computing. Specifically, GPU computing is a widely known solution in HPC since they offer a highly data-parallel processor at a low cost. The massively parallelism that P systems inherently present is a challenge to be efficiently simulated, and GPUs are well suited to this task.
Other applications of GPU computing are also interesting for me, such as the acceleration of image coding techniques on the GPU in the context of Digital Cinema (for postproduction tools and broadcasting) with JPEG2000 and in lightweight compression environments with JPEGXS, and the acceleration of multi-agent systems with open standards. Moreover, I have an increasing interest on applications of machine learning techniques, specially Deep Learning, to computer vision applications such as video archiving environments for classification, sign language translation, etc.
In summary, my research topics are:
Visiting HPC-LAB research group, at the NTNU (Trondheim, Norway), headed by Prof. Anne C. Elster, from July 2011-September 2011. I acknowledge the grant from "IV plan propio" of the University of Seville, and the support of the HPC-Lab group, specially to Anne C. Elster.
Granted Student associated to the Department of Computer Engineering at the University of Murcia. The project was entitled “Development of a power consumption simulator for CMPs based on GEMS/Simics” (academic year 2007-2008)