At SC11 in Seattle, the stage is set for data-intensive computing to steal the show. This year’s theme correlates directly to the “big data” trend that is reshaping enterprise and scientific computing. We give an insider’s view of some of the top sessions for the big data crowd and a broader sense of how this year’s conference is shaping up overall.
The Weekly Top Five features the five biggest HPC stories of the week, condensed for your reading pleasure. This week, we cover the NC State effort to overcome the memory limitations of multicore chips; the sale of the first-ever commercial quantum computing system; Cray’s first GPU-accelerated machine; speedier machine learning algorithms; and the connection between shrinking budgets and increased reliance on modeling and simulation.
DNA sequencing technology outruns genomic analysis.
Languages like R and MATLAB, which were once unofficially reserved for technical computing domains are slowly finding their way into enterprises due to the rise in demand for large-scale data analytics. This demand is coupled with recent announcements about cloud-based ways to use these languages, opening new doors to access and use.
Truthy.indiana.edu exposes dirty politics on the Web.
Even computer-unsavvy scientists will be able to use NASA Earth Exchange to collaborate on modeling and analysis of large data sets.