ISC has announced an Early Bird discount for its second annual Big Data conference. The event will offer attendees insights into the latest developments in data-intensive computing from both industry players and researchers.
In this video, Intersect360 Research CEO Addison Snell describes the dynamics unfolding in the technical computing market, and its convergence with big data analytics. “In their customer surveys on big data, Intersect360 finds that end users need to scale their environments from desktops to servers, to clusters of servers, to large supercomputers. Mr. Snell notes that IBM is a leader in HPC and Big Data that is making the investments to extend that leadership.”
In this special guest feature, Ferhat Hatay from Fujitsu writes that supercomputing technologies developed for data-intensive scientific computing can be a powerful tool for taking on the challenges of Big Data. We all feel it, data use and growth is explosive. Individuals and businesses are consuming — and generating — more data every day. The […]
In this video from the DDN User Group at ISC’14, Satoshi Matsuoka from the Tokyo Institute of Technology presents: A Look at Big Data in HPC. “HPC has been dealing with big data for all of its existence. But it turns out that the recent commercial emphasis on big data, has coincided with a fundamental change in the sciences as well. As scientific instruments and facilities produce large amounts of data in an unprecedented rate, the HPC community is reacting to this, with revisiting architecture, tools, and services to address this growth in data.”
“The increased storage capacity of the system (in both volatile and nonvolatile memory) represents the major departure from classic simulation-based computing architectures common at DOE laboratories and opens new opportunities for exploring the potential of combining floating point focused capability with data analysis in one environment. The machine’s expanded DRAM and fast, persistent NVRAM are well suited to a broad range of big data problems including bioinformatics, business analytics, machine learning and natural language processing.”
“Like the US, Japan, and Europe, China still has plans to build giant HPC systems like Tianhe. However, increasingly these systems are being looked at to support commercial HPC workloads like machine vision in a cloud environment in addition to just scientific data processing.”