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HPC Top 5 Stories: Dec. 7, 2016

Read updates highlighting what’s hot in high performance computing, including news about Azure N-Series and NVIDIA's Role at Gartner Data Center.

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HPC Top 5 Stories: Dec. 7, 2016

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  1. TITLE GOES HERE HPC TOP 5 STORIES Speaker, Date WEEKLY INSIGHTS INTO THE WORLD OF HIGH PERFORMANCE COMPUTING

  2. HPC is a key element for growth in numerous markets… 2

  3. IDC predicts that by 2020, HPC will be pivotal in the markets for driverless vehicles, cognitive computing, AI, and the internet of things. 3

  4. Here are the “Top Five” stories highlighting what’s hot in High Performance Computing. 4

  5. NVIDIA Tesla P100 GPU Review Accelerated computing continues to gain momentum as the HPC community moves towards Exascale. Our Tesla P100 GPU review shows how these accelerators are opening up new worlds of performance vs. traditional CPU-based systems and even vs. NVIDIA’s previous K80 GPU product. With more than 400 applications optimized for GPU acceleration – and more coming out every day, we’re fast approaching a time when GPU accelerators will be available for almost every compute intensive workload in HPC and in the enterprise. Nearly every organization has at least an application or two that can be accelerated through use of GPUs. While higher performance is certainly one of the leading benefits from acceleration, GPUs can provide this performance while using less energy and floor space than traditional servers – which makes them a great choice for enterprises small and large. READ MORE 5

  6. TITAN Supercomputer Hunting for Better Biofuel in Massive Molecular Simulation Henry Ford once called ethanol “the fuel of the future.” That day may be moving closer, thanks to the Tesla GPU-accelerated Titan supercomputer at Oak Ridge National Laboratory. A corn-derived biofuel, ethanol has the potential to be a widely used renewable transportation fuel, but its biomolecular structure has kept it from being economically viable to produce at mass scale. That’s where Oak Ridge scientist Jeremy Smith and Titan come in. Smith and his team at the U.S. Department of Energy’s BioEnergy Science Center have used the Titan supercomputer to fastidiously produce some of the most immense and complex biomolecular simulations in history. READ MORE 6

  7. The GPU-Cloud Era- Powered by Microsoft Azure N-Series Whether it’s deep learning, virtual reality, or desktop transformation, the GPU is the cornerstone resource in every data center, and now the most important clouds. Our work with Microsoft builds on our vision of the GPU- accelerated cloud, which we announced in September. And it’s is a powerful addition to the roster of partners who’ve built cloud-hosted solutions on top of NVIDIA GRID, including Google and Amazon. We’re excited about the continuation of that vision and momentum with today’s general availability of Microsoft Azure N-Series for professional visualization virtual machine instances – backed by NVIDIA GRID and NVIDIA Tesla GPUs. READ MORE 7

  8. Singapore University Leverages NVIDIA’s Supercomputer for AI Research The Singapore Management University (SMU) will be using the NVIDIA DGX1 deep learning supercomputer to conduct AI research for Singapore's Smart Nation project. The research will take place at the SMU Living Analytics Research Centre (LARC), which is supported and funded by Singapore's National Research Foundation (NRF). Providing performance that is equivalent to 250 conventional servers, the supercomputer will reduce the time it takes for researchers to train sophisticated deep neural networks. The solution is also built on NVIDIA Tesla P100 GPUs, which utilize the latest Pascal GPU architecture. One of the projects that will use the DGX1 deep learning supercomputer is the food AI application, which aims to achieve smart food consumption and healthy lifestyle. READ MORE 8

  9. NVIDIA’s Role at Gartner Data Center & The New @NVIDIADC A GPU-accelerated data center is a key competitive advantage, NVIDIA’s Jim McHugh will tell attendees at Gartner’s Data Center, Infrastructure, & Operations Management Conference, in Las Vegas next week. McHugh, who serves as VP and GM of Enterprise Products, will explain how GPUs can accelerate data processing and analysis by 10-100x over traditional compute and visualize 100x more data with 40x less infrastructure. These capabilities are key to speeding up your business, and taking advantage of the GPU-driven AI boom that is remaking fields such as financial services, information technology, manufacturing, retail, government, and healthcare. READ MORE 9

  10. Stay tuned for weekly HPC Top 5 Stories

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