The new Tegra X1 provides more power than a supercomputer the size of a suburban family home from 15 years ago.
“Powered by Intel’s Xeon E5-2600 v3 processor, Penguin Computing’s Tundra OpenHPC platform delivers density, performance and serviceability for demanding and extraordinary customers. Built to be compatible with Open Compute Open Rack specifications, the Tundra OpenHPC platform provides customers with a powerful and compact HPC server designed to reduce infrastructure costs when moving to the next generation of technology.”
“I will summarize the benefits, challenges, and lessons learned in deploying Titan and in preparing applications to move from conventional CPU architectures to a hybrid, accelerated architectures. I will emphasize on the challenges we have encountered with emerging programming models and how we are addressing these challenges using directive based-approaches. I also plan to discuss the early science outcomes from Titan in diverse areas such as materials sciences, nuclear energy, and engineering sciences. I will also discuss research outcomes from a growing number of industrial partnerships.”
“The Cray XC30 system at CSCS, which includes “Piz Daint”, the most energy efficient peta-scale supercomputer in operation today, has been extended with additional multi-core CPU cabinets (aka “Piz Dora”). In this heterogeneous system we unify a variety for high-end computing services – extreme scale compute, data analytics, pre- and post processing, as well as visualization – that are all important parts for the scientific workflow.”
In this video from the Nvidia booth theater at SC14, Buddy Bland from Oak Ridge National Laboratory presents: Accelerating ORNL’s Applications to the Exascale. “The Titan computer at Oak Ridge National Laboratory is delivering exceptional results for our scientific users in the U.S. Department of Energy’s Office of Science, Applied Energy programs, academia, and industry. Mr. Bland will describe the Titan system, how this system fits within the roadmap to exascale machines, and describe successes we have had with our applications using GPU accelerators.”