Rich Brueckner from insideBIGDATA describes what’s really behind high performance data analysis and why you should care.
By Nikita Ivanov, CEO of GridGain in Memory Computing. In the last 12 months we observed a growing trend that use cases for distributed caching are rapidly going away as customers are moving up stack… in droves. Let me elaborate by highlighting three points that when combined provide a clear reason behind this observation.
A group of researchers from three U.S. universities are leveraging high performance computing (HPC) systems in conjunction with Big Data systems to make a significant step forward in the rapid analysis of financial markets; in effect reducing processing from hours/days down to minutes. The researchers from the University of Illinois, the Pittsburgh Supercomputer Center at […]
Big Data science has long-relied on supercomputers to do immense amounts of number-crunching and data-sifting that would otherwise be impossible or take a very, very, very long time. At Brookhaven Labs, 23 racks containing thousands of processors give scientists the computer power they need. Our supercomputers also help us dig through the massive amounts of […]
Flavio Villanustre writes that convergence of HPC and Big Data applications is being driven by machine learning.
In this podcast, Deepak Jeevan Kumar from VC firm General Catalyst Partners describes his efforts to help entrepreneurs with disruptive ideas in big data, cloud computing, data center infrastructure, cyber-security, and clean energy. Deepak Jeevan Kumar has been with General Catalyst since 2010, first in Boston and later in the firm’s Palo Alto office. […]