Parallel and Distributed Computing

This research group is directed by Prof. Wilson Rivera and it is focusing on the problems of designing parallel and distributed algorithms and adaptive high performance schedulers for complex systems, associated with intelligent middleware infrastructures, addressing issues such as self optimization, inter-components in-sourcing and out-sourcing functions, and parameter systems self-monitoring and tuning. Abstract formulations of information processing environments are being considered to be the base to approach the issue of mobility across problem specifications. This group has a Ph. D. student fully supported by the WALSAIP project.

The PDCLab Grid Testbed at UPRM” K. Cruz, J. Sanabria, F. Cintron, W. Rivera,. Fourth LACCEI International Latin American and Caribbean Conference for Engineering and Technology (LACCET’2006),2006
An Adaptive Quality of Service Based Scheduling Algorithm for Wide Area Large Scale Problems”, W. Lozano, W. Rivera,. IEEE International Conference on Network Computing and Applications, 2006.
Using Grid Computing to Enable Distributed Radar Data Retrieval and Processing” D. Arias , W. Rivera,. IEEE International Conference on Parallel and Distributed Computing, Applications and Technologies (PDCAT),2006.
Grid Portal Development for Sensing Data Retrieval and Processing” D. Arias, K. Cruz, F. Cintron, M. Mendoza, W. Rivera,. IEEE/ACM Second International Workshop on Grid Computing Environments (GCE06), Supercomputing 2006.