University of Malaga CUDA Research Center Summary

About the CUDA Research Center at the University of Malaga
The University of Malaga (UMA) was awarded as CUDA Research Center in 2012, after a decade implementing codes on GPUs at Computer Architecture Department. They started in 2003 porting irregular applications onto the GPU using the Cg language. When CUDA appeared, they moved into the new paradigm and switch into more computationally and arithmetically intensive tasks, like numerical methods and biomedical image processing. Over the past couple of years, they have also tackled bio-inspired and evolutionary algorithms, and more recently, data mining on genetic and genome-wide applications.
UMA researchers have also been awarded as NVIDIA Academic Partnership (2008-2011) and CUDA Teaching Center (2011-2013). Over the past seven years, they have organized more than 30 courses on CUDA programming worldwide, including academic programs in European, North American and Australian universities. Overall, they have taught around 700 hours of lectures for a total audience exceeding 1300 students. Four tutorials were also celebrated at international conferences to target an audience of 165 researchers.
About the PI
Manuel Ujaldon received his B.S. degree in Computer Science from the Univ. of Granada (Spain, 1991) and his M.S. and Ph.D. degrees in Computer Science from the Univ. of Malaga (Spain, 1993 and 1996).
During 1994 and 1995 he was a Research Assistant in the Computer Architecture Dept. at the University of Malaga, where he became Assistant Professor in 1996 and Associate Professor in 1999.
Dr. Ujaldon was a pre-doctoral and postdoctoral researcher at the Computer Science Dept. of the University of Maryland (USA, 1994, 1996-97), visiting researcher at Biomedical Informatics Dept. of the Ohio State University (USA, 2003-08), and Conjoint Senior Lecturer at the School of Electrical Engineering and Computer Science of the University of Newcastle (Australia, 2012-14). He has published seven books on computer architecture, one book on GPU architecture and computing, and more than 70 refereed papers, which have been referenced more than 500 times according to Google Scholar.
