DK Panda from Ohio State University presented this talk at the Stanford HPC & Exascale Conference. “As InfiniBand is getting used in scientific computing environments, there is a big demand to harness its benefits for enterprise environments for handling big data and analytics. This talk will focus on high-performance and scalable designs of Hadoop using native RDMA support of InfiniBand and RoCE.”
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 […]