UConn High Performance Computing with Dell EMC and Intel

UConn has partnered with Dell EMC and Intel to create a high performance computing cluster that students and faculty can use in their research. With this HPC Cluster, UConn researchers can solve problems that are computationally intensive or involve massive amounts of data in a matter of days or hours, instead of weeks.

The HPC cluster operated on the Storrs campus features 6,000 CPU cores, a high-speed fabric interconnect, and a parallel file system. Since 2011, it has been used by over 500 researchers, from each of the university’s schools and colleges, for over 40 million hours of scientific computation.

UConn Receives $117K Manufacturing Grant

The U.S. Commerce Department announced Monday a grant of nearly $117,000 to help the University of Connecticut advance its plans for a center for manufacturers to use computers to test and modify product designs and manufacturing processes.

UConn, the federal Economic Development Administration and Connecticut Innovations, the state’s venture capital fund, are spending $2.1 million over five years to establish the Connecticut Manufacturing Simulation Center. It will give small and medium-sized Connecticut manufacturers access to computer-based design, modeling and simulation to test and modify product designs and manufacturing processes before making a prototype.

Read More at the Hartford Courant

Storrs HPC Cluster Usage Report

In 2011 the UConn School of Engineering, in collaboration with the Booth Engineering Center for Advanced Technology (BECAT), invested in the largest High Performance Computing (HPC) cluster on the Storrs campus.  This cluster has received continual improvement in both operational efficiency and resources expansion.  The cluster is serving as the catalyst for research in computationally intensive disciplines related to the university’s ambitious initiatives, including the UConn Technology Park, Next Generation Connecticut, and Bioscience Connecticut.  Over the three years of the cluster’s operation, its usage has increased at a rapid pace.  BECAT has published the following graphs which highlight the cluster’s usage during the Fall of 2011 through the Fall of 2013.