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HPC Top 5 Stories: Nov. 21, 2016

Read updates highlighting what’s hot in high performance computing, with this week's edition focusing on news of NVIDIA's announcements at Supercomputing 2016.

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HPC Top 5 Stories: Nov. 21, 2016

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  1. HPC TOP 5 STORIES WEEKLY INSIGHTS INTO THE WORLD OF HIGH PERFORMANCE COMPUTING

  2. TITLE GOES HERE Speaker, Date

  3. Hear the Top Announcements from SC16 in this week’s HPC Top 5 Stories, with both NVIDIA blogs and news coverage. 3

  4. Jen-Hsun Huang’s Keynote at SC16 The AI boom will create a path to exascale computing, one of the supercomputing world’s loftiest goals, NVIDIA CEO Jen-Hsun Huang told a packed house Monday at the SC16 annual supercomputing show in Salt Lake City, Utah. “Several years ago deep learning came along, like Thor’s hammer falling from the sky, and gave us an incredibly powerful tool to solve some of the most difficult problems in the world,” Jen-Hsun said. “Every industry has awoken to AI.” 2016 has been a great year for deep learning and GPU computing, he explained. There are now more than 400 GPU-optimized high-performance computing applications, and all of the top 10 applications are now GPU optimized. The number of deep learning developers has tripled in two years to 400,000. And the launch of our new Pascal GPU architecture means all these applications will run more quickly, and efficiently, than ever. NV BLOG INSIDEHPC COVERAGE FORBES COVERAGE 4

  5. NVIDIA’s Collaboration with Microsoft Azure is Now Available Four months after Microsoft’s preview of its Azure N- Series virtual machines in the cloud attracted thousands of customers, the GPU-accelerated machines will now be generally available to a wider segment of customers. Companies in the south-central U.S., eastern U.S., Western Europe and Southeast Asia will gain access to the cutting-edge N-Series virtual machines in December. The rollout is part of an ongoing collaboration by Microsoft and NVIDIA that aims to help companies everywhere benefit from advances in AI and machine learning. The N-Series machines that are designed for computationally intensive tasks (known as the NC- Series) use our Tesla K80 GPUs and CUDA to run applications like deep learning, real-time data analytics, high performance computing simulation and DNA sequencing. NV BLOG CIO COVERAGE 5

  6. NVIDIA DGS SATURNV Ranked World’s Most Efficient Supercomputer Already speeding our efforts to build smarter cars and more powerful GPUs, NVIDIA’s new DGX SATURNV supercomputer is ranked the world’s most efficient — and 28th fastest overall — on the Top500 list of supercomputers released Monday. Our SATURNV supercomputer, powered by new Tesla P100 GPUs, delivers 9.46 gigaflops/watt — a 42 percent improvement from the 6.67 gigaflops/watt delivered by the most efficient machine on the Top500 list released just last June. Compared with a supercomputer of similar performance, the Camphore 2 system, which is powered by Xeon Phi Knights Landing, SATURNV is 2.3x more energy efficient. NV BLOG That efficiency is key to building machines capable of reaching exascale speeds — that’s 1 quintillion, or 1 billion billion, floating-point operations per second. Such a machine could help design efficient new combustion engines, model clean-burning fusion reactors, and achieve new breakthroughs in medical research. THE NEXT PLATFORM FUTURISM 6

  7. NVIDIA Tesla P100 Available on Google Cloud Platform NVIDIA Tesla P100 GPUs and Tesla K80 GPUs will be available on Google Cloud Platform, starting early next year. Delivering the power of our Pascal GPU architecture from the cloud gives businesses another great option for helping to put their data to work and build AI services. On Google Cloud Platform, Tesla P100 GPUs will be available to Google Compute Engine and Google Cloud Machine Learning users around the world. The Tesla P100 delivers high performance and efficiency to power the most computationally demanding applications — including a 12x increase in neural network training performance compared with a previous-generation offering. NV BLOG THE VERGE 7

  8. Tesla P100 Powers Winning Team in Student Cluster Competition Simple lesson: If you want to win the granddaddy of student supercomputing competitions, sleep is optional. So, occasionally, is power. Our NVIDIA Tesla Accelerated Computing Platform isn’t. Thanks to a system design that put more NVIDIA GPUs into play than any of its competitors, a team from the University of Science and Technology of China (USTC) grabbed the top spot Thursday in the annual Student Cluster Competition at the SC16 supercomputing show in Salt Lake City, Utah. The team also generated the competition’s top Linpack score — 31.15 teraflops — a new record and more than triple the competition’s previous top mark. And its efficiency would have ranked it among the top machines on the annual Green500 list of most efficient supercomputers. READ BLOG COMPETITION INFO 8

  9. “Quoted text example goes here. Trebuchet, 42 pt. Use with shorter (headline type) quotes.” Stay tuned for weekly HPC Top 5 Stories — Source, Trebuchet 18 pt 9

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