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.
In this slidecast, Bill Lee and Rupert Dance from the InfiniBand Trade Association describe the new IBTA Volume 1 Specification Release. “The new release defines new capabilities that will enable computer systems to keep up with the requirements for increased scalability and bandwidth, along with high computing efficiency and high availability for both high performance computing and commercial enterprise data centers.”
“Imagine an entire IT infrastructure controlled not by hands and hardware, but by software. One in which application workloads such as big data, analytics, simulation and design are serviced automatically by the most appropriate resource, whether running locally or in the cloud. A Software Defined Infrastructure enables your organization to deliver IT services in the most efficient way possible, optimizing resource utilization to accelerate time to results and reduce costs.”
In this episode, the Radio Free HPC team splits on the topic of Net Neutrality. The FCC will soon publish its new rules for ensuring an even playing field for Internet Bandwidth. “Dan doesn’t like the idea one bit. Henry disagrees and thinks we need Net Neutrality to keep the Comcasts of the world from running amok. As for Rich, he just finds the whole argument rather amusing since it’s pretty much a done deal.”
“Written by one of the foremost experts in high-performance computing and the inventor of Gustafson’s Law, The End of Error: Unum Computing explains a new approach to computer arithmetic: the universal number (unum). The unum encompasses all IEEE floating-point formats as well as fixed-point and exact integer arithmetic. This new number type obtains more accurate answers than floating-point arithmetic yet uses fewer bits in many cases, saving memory, bandwidth, energy, and power.”