We caught up with Mike Boros, Hadoop Product Manager at Cray, to learn about the company’s Big Data solutions. “I think you’ll see Cray continue to focus on Big & Fast, vs. just Big Data. Technologies like Hadoop make hosting large data sets easy. The challenge of getting value from that data set, after it’s large, is what we’re interested in.”
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.”
“Map-D uses multiple NVIDIA GPUs to interactively query and visualize big data in real-time. Map-D is an SQL-enabled column store that generates 70-400X speedups over other in-memory databases. This talk discusses the basic architecture of the system, the advantages and challenges of running queries on the GPU, and the implications of interactive and real-time big data analysis in the social sciences and beyond.”
In this talk, Sean Gourley examines this world of augmented intelligence and shows how our understanding of the human brain is shaping the way we visualize and interact with big data. Gourley argues that the world we are living in is too complex for any single human mind to understand and that we need to team up with machines to make better decisions.
In this video, IBM researchers describe how the company harnessed unused compute cycles throughout the company. Using the same technology, Harvard’s Clean Energy Project harnessed the power of the World Community Grid. The theory-driven research effort uses an automated computational framework to study candidate structures. A computational study of molecular materials combining the scale and […]