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Radio Free HPC Looks Forward to New Technologies in 2017

In this podcast, the Radio Free HPC team shares the things we’re looking forward to in 2017. “From the iPhone 8 to storage innovations and camera technologies in the fight against crime, it is looking like 2017 is going to be a great year. It will also be back to the future with the return of specialized processing devices for specific application worksloads and the continuing technology wars between processors and GPUs and Omni-Path vs InfiniBand.”

Barry Bolding from Cray Shares Four Predictions for HPC in 2017

In this special guest feature from Scientific Computing World, Cray’s Barry Bolding gives some predictions for the supercomputing industry in 2017. “2016 saw the introduction or announcement of a number of new and innovative processor technologies from leaders in the field such as Intel, Nvidia, ARM, AMD, and even from China. In 2017 we will continue to see capabilities evolve, but as the demand for performance improvements continues unabated and CMOS struggles to drive performance improvements we’ll see processors becoming more and more power hungry.”

New Site Compares Docker, Singularity, Shifter, and Univa Grid Engine Container Edition

A new site developed by Tin H compares the HPC virtualization capabilities of Docker, Singularity, Shifter, and Univa Grid Engine Container Edition. “They bring the benefits of container to the HPC world and some provide very similar features. The subtleties are in their implementation approach. MPI maybe the place with the biggest difference.”

Experts Weigh in on 2017 Artificial Intelligence Predictions

In this presentation from Nvidia, top AI experts from the world’s most influential companies weigh in on predicted advances for AI in 2017. “In 2017, intelligence will trump speed. Over the last several decades, nations have competed on speed, intent to build the world’s fastest supercomputer,” said Ian Buck, VP of Accelerated computing at Nvidia. “In 2017, the race will shift. Nations of the world will compete on who has the smartest supercomputer, not solely the fastest.”

AMD Unveils Vega GPU Architecure with HBM Memory

Today AMD unveiled preliminary details of its forthcoming GPU architecture, Vega. Conceived and executed over 5 years, Vega architecture enables new possibilities in PC gaming, professional design and machine intelligence that traditional GPU architectures have not been able to address effectively. “It is incredible to see GPUs being used to solve gigabyte-scale data problems in gaming to exabyte-scale data problems in machine intelligence. We designed the Vega architecture to build on this ability, with the flexibility to address the extraordinary breadth of problems GPUs will be solving not only today but also five years from now. Our high-bandwidth cache is a pivotal disruption that has the potential to impact the whole GPU market,” said Raja Koduri, senior vice president and chief architect, Radeon Technologies Group, AMD.

Podcast: Do It Yourself Deep Learning

In this AI Podcast, Bob Bond from Nvidia and Mike Senese from Make magazine discuss the Do It Yourself movement for Artificial Intelligence. “Deep learning isn’t just for research scientists anymore. Hobbyists can use consumer grade GPUs and open-source DNN software to tackle common household tasks from ant control to chasing away stray cats.”

Supercomputing Subatomic Particle Research on Titan

By using multiple grids and separating the modes in the problem onto the various grids most efficiently, the researchers can get through their long line of calculations quicker and easier. “GPUs provide a lot of memory bandwidth,” Clark said. “Solving LQCD problems computationally is almost always memory-bound, so if you can describe your problem in such a way that GPUs can get maximum use of their memory bandwidth, QCD calculations will go a lot quicker.” In other words memory bandwidth is like a roadway in that having more lanes helps keep vehicles moving and lessens the potential for traffic backups.”

Podcast: Deep Learning 101

In this AI Podcast, Host Michael Copeland speaks with NVIDIA’s Will Ramey about the history behind today’s AI boom and the key concepts you need to know to get your head around a technology that’s reshaping the world. “AI has been described as ‘Thor’s Hammer’ and ‘the new electricity.’ But it’s also a bit of a mystery – even to those who know it best. We’ll connect with some of the world’s leading AI experts to explain how it works, how it’s evolving, and how it intersects with every facet of human endeavor.”

Video: How GPUs are Remaking Cloud Computing

In this video from the Nvidia Booth at SC16, Jonathan Symonds from MapD presents: How GPUs are Remaking Cloud Computing. “This video discusses how price/performance characteristics of GPUs are changing the nature of cloud computing. The talk includes performance benchmarks on Google Cloud, Amazon Web Services and IBM Softlayer as well as a live demonstration.”

Beauty Meets HPC: An Overview of the Barcelona Supercomputing Center

“The multidisciplinary research team and computational facilities –including MareNostrum– make BSC an international centre of excellence in e-Science. Since its establishment in 2005, BSC has developed an active role in fostering HPC in Spain and Europe as an essential tool for international competitiveness in science and engineering. The center manages the Red Española de Supercomputación (RES), and is a hosting member of the Partnership for Advanced Computing in Europe (PRACE) initiative.”