The potential effect of flood waters can now be assessed more quickly, due to a new feature for Visdom, a Visual Analysis System which can be used to make faster decisions regarding flood defenses at times of severe flooding.
In this video from SC14, Ken Claffey from Seagate describes how the company is doubling down on high performance computing with its ClusterStor technology. Full Transcript: Ken Claffey: Hey Rich. Good to see you again. insideHPC: Oh, yeah. It’s always a pleasure. You Xyratex guys are like family. Ken Claffey: Another year rolls around, it’s […]
In this video, Satoshi Matsuoka, professor at Tokyo Institute of Technology, examines GPU’s role in the rapidly increasing data volume and processing requirements of so-called big data. Conventional cloud infrastructures will no longer be efficient. Will GPUs play a central role, or will they be peripheral?
In this video from the Nvidia booth at SC14, Terri Quinn from LLNL presents: A Livermore Perspective on Next-Generation Computing. “Terri is responsible for an organization consisting of three divisions with over 400 technical staff working in high-performance computing, computer security, and enterprise computing. Livermore Computing (LC), LLNL’s high performance computing organization, operates some of the most advanced production classified and unclassified computing environments.”
Intel in Boulder, CO is seeking an HPC IO Engineer in our Job of the Week.
GPU-accelerated computing is the use of a graphics processing unit (GPU) together with a CPU to accelerate scientific, analytics, engineering, consumer, and enterprise applications. Pioneered in 2007 by NVIDIA, GPU accelerators now power energy-efficient datacenters in government labs, universities, enterprises, and small-and-medium businesses around the world. GPUs are accelerating applications in platforms ranging from cars, to mobile phones and tablets, to drones and robots.