CSC News

October 30, 2014

Gaining More Value from Big Data

With a focus on research that extracts more value from Big Data, the department is proud to announce that NC State has joined forces with the University of Maryland, Baltimore County, the University of Utah, and the University of California, San Diego as part of the Center of Hybrid Multicore Productivity Research (CHMPR).  NC State's addition as a site comes as a result of the center's planned phase II Industry/University Cooperative Research Centers (I/UCRC) renewal.
NC State has received a planning grant of $13,779 to support the site addition.  The award will run from September 1, 2014 to August 31, 2015.  Dr. Rada Chirkova, associate professor of Computer Science at NC State, is the principal investigator.
Abstract - The CHMPR is proposing a phase II extension of its successful conduct of research based on the continued challenges arising from the evolution of multicore technologies. The focus of NC State within the center will be the science of technologies for end-to-end enablement of data. We are forming an NC State-based site to join an existing I/UCRC Center for Hybrid Multicore Productivity (CHMPR). This planning grant will support meetings with potential industrial partners and CHMPR co-investigators from the University of Maryland Baltimore County. Planning activities will be facilitated by Ken Tate, NC State Computer Science Department Director of Engagement and External Relations, as well as John Streck, the Director of the Institute for NEXT generation IT Systems. Meetings organized using the planning grant funds will operationalize, transform and integrate themes developed during the preparation of this planning grant, experiences from ongoing industry partnerships at the three centers, and concepts outlined in NSF’s Purple Book™ entitled “Managing the Industry/University Cooperative Research Center.” The NC State I/UCRC center site will represent an exciting and novel integration of approaches to Big Data in multiple disciplines, as we target technological innovations on extracting value from Big Data for a diverse pool of stakeholders.

Return To News Homepage