Speaker, DateTITLE GOES HEREHPC TOP 5 STORIESWEEKLY INSIGHTS INTO THE WORLD OF HIGH PERFORMANCE COMPUTING

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Missed Supercomputing 16? Catch up on what you missed…

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Here are the “Top Five” stories

highlighting what’s hot in High Performance Computing.

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It’s why our CEO — Jen-Hsun Huang — will headline our presence at next week’s SC16 annual supercomputing show at Salt Lake City, Utah, an event that draws 14,000 researchers, national lab directors, and others from around the world.

Jen-Hsun will kick off our presence at the show on Monday at 7:30pm MT with an appearance at the NVIDIA Theater we’ve set up at our booth on the show floor. Over the course of the week, our NVIDIA Theater will be the setting for talks from more than a dozen supercomputing experts.

Over the past few centuries, nothing has done more to make lives better than science. And over the past few decades, supercomputing has emerged as a key tool for pushing science forward.

NVIDIA Out in Force at Supercomputing ‘16

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Gordon Bell Prize finalist uses GPUs to speed up the design of environmentally friendly aircraft

Lighter planes emit lower amounts of greenhouse gases, and many designers have zeroed in on reducing the weight of jet engine turbines. The researchers created open source software that lets designers use GPU-powered supercomputers to more efficiently and accurately simulate how new designs perform.This work earned Vincent and his team a spot as one of six finalists for the ACM Gordon Bell Prize, considered the “Nobel Prize of supercomputing.” Awarded annually at the Supercomputing conference, the prize recognizes outstanding scientific achievement on the biggest and most powerful supercomputers.

The next Gordon Bell winner will be crowned at SC16, to be held Nov. 13-18 in Salt Lake City. On Nov. 16 at the show, Vincent will present his paper on green aviation.

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Going into SC16, CENATE Flexes It’s Growing Muscle with NVIDIA GPUs

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“We have established the lofty goal for us to even design some neuromorphic technologies that are doing machine learning natively and not as you can do machine learning for example on a GPU in which you sort of come in from behind and map machine workload to the architecture of the GPU,” says Adolfy Hoisie, PNNL’s chief scientist for computing and CENATE’s principal investigator and director. All things (time and money) being available, “We would like those neuromorphic systems chips, whatever, to actually cast them in silicon.”

In September, the Center for Advanced Technology Evaluation (CENATE) at Pacific Northwest National Laboratory (PNNL) took possession of NVIDIA’s DGX-1 GPU-based (Pascal 100) supercomputer. More on what they are doing with it later. Soon, IBM will deliver its Con Tutto memory technology. Data Vortex’s advanced switch technology is already in-house, along with products (and ideas) from a handful of other technology heavyweights. Now entering its second year, CENATE already has some potent equipment and ambitious ideas.

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ORNL, Tokyo Tech, and ETH Zurich Announce the ADAC Consortium

OAK RIDGE, Tenn., Nov. 10, 2016--Leaders in hybrid accelerated high-performance computing (HPC) in the United States (U.S.), Japan, and Switzerland have signed a memorandum of understanding (MOU) establishing an international institute dedicated to common goals, the sharing of HPC expertise, and forward-thinking evaluation of computing architecture.The MOU authorizes the creation of the Accelerated Data Analytics and Computing (ADAC) institute to support collaborative projects and programs that bridge the respective HPC missions of the U.S. Department of Energy's (DOE) Oak Ridge National Laboratory (ORNL), the Tokyo Institute of Technology (Tokyo Tech), and the Swiss Federal Institute of Technology, Zurich (ETH Zurich). All three organizations manage HPC centers that run large, GPU-accelerated supercomputers and provide key HPC capabilities to academia, government, and industry to solve many of the world's most complex and pressing scientific problems.

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Progress in Making Parallel Code Easier & More Portable with OpenACC

One tool does not yet span all of these different options, and perhaps it never will. But the OpenACC community, which was  founded by Cray, PGI, NVIDIA, and CAPS back in November 2011 to deliver a common way to put parallelization directives into code for compilers, has made great progress along with other organizations with a vested interest in HPC code portability and acceleration on various processors and coprocessors, to realize this goal. At the upcoming SC16 supercomputing conference, which occurs next week, the OpenACC community will be talking about its progress and also hosting meetings to try to get the OpenMP and OpenACC community members together to talk about how they can work together despite the very different ways in which their approaches express parallelism in code.

To get a head start on SC16, Michael Wolfe, technical chair for OpenACC and the technology lead at compiler maker The Portland Group, which graphics chip maker Nvidia acquired in July 2013, and Duncan Poole, president of OpenACC and partner alliances lead at Nvidia, sat down with The Next Platform to give us a sense of the progress that has been made in helping to make parallel code easier and more portable.

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