Award Abstract #0722515
MRI: Acquisition of Infrastructure to Enhance Research in Computer Science and Engineering in HPC in Puerto Rico

NSF Org:	CNS Division of Computer and Network Systems
Initial Amendment Date:	August 6, 2007
Latest Amendment Date:	July 23, 2009
Award Number:	0722515
Award Instrument:	Standard Grant
Program Manager:	Rita V. Rodriguez CNS Division of Computer and Network Systems CSE Directorate for Computer & Information Science & Engineering
Start Date:	August 1, 2007
Expires:	January 31, 2010 (Estimated)
Awarded Amount to Date:	$175841
Investigator(s):	Alfredo Cruz alcruz@pupr.edu (Principal Investigator) Lopez-Bonilla Roman (Co-Principal Investigator) Viktor Zaharov (Co-Principal Investigator) nader farahat (Co-Principal Investigator)
Sponsor:	Polytechnic University of Puerto Rico PO Box 192017 San Juan, PR 00919 787/622-8000
NSF Program(s):	COMPUTING RES INFRASTRUCTURE, MAJOR RESEARCH INSTRUMENTATION
Field Application(s):	0000912 Computer Science
Program Reference Code(s):	HPCC, 9251, 9218, 9178, 9150, 9102
Program Element Code(s):	7359, 1189

ABSTRACT

Proposal #: CNS 07-22515

PI(s): Cruz, Alfredo

Farahat, Nader.; Lopez-Bonilla, Roman.; Zaharov, Viktor

Institution: Polytechnic University of PR

San Juan, PR 00919-2017

Title: MRI/Acq.: Infrastructure to Enhance Research in Computer Science and Engineering in HPC

Project Proposed:

This project, enhancing an existing cluster to serve a diverse set of projects that fall within the domains of ECE/CS and require high performance computing (HPC), requests funds for a memory and processor upgrade to be utilized for multidisciplinary research, enhancing the HPC center, increasing access of students and faculty, and fostering integration of research and education. The instrumentation enables the institution to assist in the scientific, technological and economic transformation of the jurisdiction, mainly populated by an underrepresented group in CISE areas. The facility supports research and education in diverse research areas such as evolutionary algorithms, neural networks, visualization, face recognition, smart antennas, etc. It specifically contributes to the following research projects.

. Genetic Algorithms and Parallel Processing; Very Large Neural Networks;

. 3D Face Recognition; Pattern Visualization and High Performance Visualization;

. Computational Modeling and Simulation of Smart Antennas; Smart Antennas;

. Return Loss Prediction of Various Antennas Using Different Signal Processing and Modeling Techniques; and

. Meta Classifiers and Clustering Techniques

Broader Impact: The infrastructure contributes to develop a recognized center that can collaborate with other institutions and industries, paving the way to building more balanced (ethnical and racial) technological enterprises. The institution services a large number of female and minority students. While promoting research, the center is expected to act as a prototype of educational experiences for other minority-serving institutions.

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