In this video from the HPC Advisory Council Switzerland Conference, Alexander Moskovsky from RSC presents: Leading Energy Efficient Supercomputing to Exascale.
Watch to get the latest on the Coral supercomputer coming to ORNL. “ORNL’s supercomputing program has grown from humble beginnings to deliver some of the most powerful systems in the world. On the way, it has helped researchers deliver practical breakthroughs and new scientific knowledge in climate, materials, nuclear science, and a wide range of other disciplines.”
This week at the OpenPOWER Summit in San Jose, the OpenPOWER Foundation showed off real hardware for the first time with 13 systems including a a prototype HPC server from IBM and new microprocessor customized for China. Built collaboratively by OpenPOWER members, the new solutions exploit the POWER architecture to provide more choice, customization and performance to customers, including hyperscale data centers.
In this episode, the Radio Free HPC team wraps up the GPU Technology Conference. The theme of the show this year was Deep Learning, a topic that is heating up the market for GPUs with challenges like image recognition and self-driving cars. As a sister conference, the OpenPOWER Summit this week in San Jose showcased the first OpenPower hardware, including a prototype HPC server from IBM that will pave the way to the two IBM/Nvidia/Mellanox Coral supercomputers expected in 2017.
“Deep Learning has transformed many important tasks, including speech and image recognition. Deep Learning systems scale well by absorbing huge amounts of data to create accurate models. The computational resources afforded by GPUs have been instrumental to this scaling. However, as Deep Learning has become more mainstream, it has generated some hype, and has been linked to everything from world peace to evil killer robots. In this talk, Dr. Ng will help separate hype from reality, and discuss potential ways that Deep Learning technologies can benefit society in the short and long term.”
This week insideHPC will be streaming live keynotes from the GPU Technology Conference in San Jose. Today’s keynote will feature Google Senior Fellow Jeff Dean. “Google has built large-scale computer systems for training neural networks, and then applied these systems to a wide variety of problems that have traditionally been very difficult for computers.”