The Pittsburgh Supercomputing Center (PSC) received a $7.6 million, four-year grant from the National Science Foundation this week to develop a larger storage system capable of facilitating massive amounts of “big data.”
The grant will enable PSC to develop a prototype Data Exacell (DCX) in collaboration with chosen scientific research projects, a major boost to research at the region’s universities. The focus of the project is data storage, retrieval and analysis that will enhance PSC’s capacity, says Michael Levine, scientific director for PSC.
“We are very pleased with this opportunity to continue working cooperatively to advance the state of the art based on our historical strengths in information technologies and to apply the resulting advances to a wide range of important scientific research,” said Subra Suresh, the new president of Carnegie Mellon University, and Mark Nordenberg, chancellor of the University of Pittsburgh, in a joint statement.
Big Data is a broad field including challenges from both traditional high-performance computing and other fields of research that depend on methodologies more focused on data collection and analysis than on computation.
Pittsburgh considers itself well on the way to becoming a hub for data mining and machine learning, harnessing the billions of data bytes in the cloud for business and research to not only solve problems but predict the future. Companies like IBM, which acquired Vivisimo in Squirrel Hill, and Google are working on it.
One result of this effort will be a robust, multifunctional system for big data analytics that will be ready for expansion into a large, production system.
Writer: Deb Smit
Source: Pittsburgh Supercomputing Center