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'''Approximation algorithms for Kernel Methods on Multi-core CPUs and GPUs'''

We are exploring the opportunities of utilizing new architectures such as GPUs, multi-core processors, and distributed clusters (cloud computing) to efficiently solve research problems related to multimedia content analysis, large-scale data analysis, and machine learning techniques.


== People ==

* [http://www.cs.sfu.ca/~mhefeeda/ Mohamed Hefeeda begin_of_the_skype_highlighting     end_of_the_skype_highlighting begin_of_the_skype_highlighting     end_of_the_skype_highlighting] (Assistant Professor)

* [http://www.umiacs.umd.edu/~wamageed/ Wael Abd-Almageed] (Assistant Research Scientist at UMD)

* Fei Gao (MSc Student)

* [http://www.sfu.ca/~tdameh/ Taher Dameh] (MSc Student)


== References and Links== 

* M. Hussein and W. Abd-Almageed, [http://www.cs.umd.edu/~mhussein/papers/sc09_BAG_ha.pdf Efficient Band Approximation of Gram Matrices for Large Scale Kernel Methods on GPUs], In Proc. of the International Conference for High Performance Computing, Networking, Storage, and Analysis (SuperComputing'09), Portland, OR, November 2009. 

* [http://www.mit.edu/~andoni/LSH/ Locality Sensitive Hashing]

* [http://openmp.org/wp/ OpenMP]

* [http://www.mcs.anl.gov/research/projects/mpich2/ MPICH2 (an MPI implementation)]


==  [[Private:hpc-discussion| On-going Research Problems and Discussion (Login Required)]] ==