Registered user since Tue 13 Oct 2015
Name: Manuel Ujaldon
Bio: Manuel Ujaldon is Prof. of Computer Architecture at the Univ. of Malaga (Spain) and CUDA Fellow at Nvidia.
He worked in the 90’s on parallelizing compilers, finishing his PhD in 1996 by developing a data-parallel compiler for sparse matrix and irregular applications. Over this period, he was part of the HPF and MPI Forums, working as post-doc in the CS Dept. of the Univ. of Maryland (USA).
Last decade he started working on the GPGPU movement early in 2003 using Cg, and wrote the first book in spanish about programming GPUs for general purpose computing. He adopted CUDA when it was first released, then focusing on image processing and biomedical applications. Over the past five years, he has published more than 50 papers in journals and international conferences in these two areas.
Dr. Ujaldon has been awarded as NVIDIA Academic Partnership 2008-2011, NVIDIA Teaching Center since 2011, NVIDIA Research Center since 2012, and finally CUDA Fellow. Over the past four years, he has taught around 60 courses on CUDA programming worldwide sponsored by Nvidia, including keynotes and tutorials in ACM/IEEE conferences and academic programs in universities of 18 different countries.
For more information, you can visit:
His web page at Computer Architecture Department, Univ. of Malaga: http://cms.ac.uma.es/ujaldon/index.php/en
His web page as Nvidia CUDA Fellow: https://developer.nvidia.com/academia/fellows/manuel-ujaldon
GPGPU Computing on Image Processing (features extraction, segmentation, classifiers).
Biomedical Applications (large-scale image analysis, biomarkers, bio-inspired algorithms and genomic wide association studies).
Evolutionary Computation (Ant Colony Optimization).
List of publications: http://cms.ac.uma.es/ujaldon/index.php/en/research-papers
Affiliation: Universidad de Málaga, Spain
Personal website: http://cms.ac.uma.es/ujaldon/index.php/en
Research interests: GPGPU computing on image processing, biomedical applications and evolutionary computation.
|PPoPP 2016||CUDA tuning and new GPU trends|
|Show activities from other conferences|
View general profile