US Energy Secretary Steven Chu today announced the creation of a new “Scalable Data Management, Analysis, and Visualization (SDAV)” Institute to tackle the problems of big data on a national level.
Led by the Energy Department’s Lawrence Berkeley National Laboratory, the SDAV Institute will bring together the expertise of six national laboratories and seven universities to develop new tools to help scientists manage and visualize data on the Department’s supercomputers, which will further streamline the processes that lead to discoveries made by scientists using the Department’s research facilities.
In addition to the big labs, that need solutions in order to maintain basic functionality, there’s a slew of corporate companies involved as well hoping to get a slice of the pie on building these solutions. One of these is Kitware:
Kitware’s role is to support the DOE’s scientific teams with large-scale data analysis and visualization. This will involve making enhancements and extensions to current tools, such as ParaView and VisIt; introducing and supporting new technologies leveraging many-core and multi-core architectures; and coupling data analysis capability with simulation codes for in-situ analysis and co-processing.
Currently funded at only $5 Million, they hope to bring in over $20 Million over the next 4 years.
via New New Institute to Help Scientists Improve Massive Data Set Research on DOE Supercomputers.
