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.”
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.
Ocean modelling is complex from an algorithm standpoint and can require significant amounts of computing power to arrive at a simulation endpoint. However, many of the calculations that are contained in the simulation can be distributed among a cluster of systems and used on shared memory systems as well.
Advances in computational biology as applied to NGS workflows have led to an explosion of sequencing data. All that data has to be sequenced, transformed, analyzed, and stored. The machines capable of performing these computations at one point cost millions of dollars, but today the price tag has dropped into the hundreds of thousands of dollars range.
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.”