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HPC Top 5 Stories: Jan. 24, 2017

Read updates highlighting what’s hot in high performance computing, with this week's focused on use cases and Share Your Science stories.

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HPC Top 5 Stories: Jan. 24, 2017

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  1. HPC Top 5 Stories Weekly Insights into the World of High Performance Computing

  2. HPC is advancing scientific discoveries in many ways…

  3. And scientific advancement is directly enhanced by GPU technology…

  4. These are the “Top Five” stories highlighting what’s hot in High Performance Computing, emphasized by use cases and #ShareYourScience stories.

  5. HPC TOP 5 Mortal Combat: Getting Ahead of Flu Viruses with GPUs Eric Jakobsson from the University of Illinois at Urbana- Champaign and the National Center for Supercomputing Applications, and Amir Barati Farimani from Stanford University, took their inspiration from the Blitz, and the randomly determined automatic firing patterns of anti-aircraft guns to protect London from German war planes. They’ve used similar stochastic algorithms, powered by GPUs, to develop multiple simulated molecular models that predict which antibodies would best combat certain strains of Ebola. READ NVIDIA BLOG Read more about Data Center GPUs.

  6. HPC TOP 5 Commercial Customers to Drive Growth of Supercomputers Technavio's report on the global supercomputer market predicts that it will grow steadily at a CAGR of 7% by 2021 driven by commercial customers like automotive makers, aerospace manufacturers, drug companies and oil and energy companies, for running advanced analytical models on the commodity clusters. They are also being increasingly used by academic and research institutions to handle large volumes of data. “Three major government entities that collaborated for this program were the Department of Energy, the Department of Defense and the National Science Foundation. The program would accelerate R&D activities in several fields across the government, industrial and academic sectors,” says Chetan Mohan, Lead Embedded Systems Research Analyst, Technavio. LEARN MORE Visit the NVIDIA Tesla Where to Buy Server Page.

  7. HPC TOP 5 Share Your Science: Fighting Ebola with Supercomputer Simulations Thomas Cheatham, professor of Medicinal Chemistry and the director of research computing at University of Utah shares how they’re using the GPU- accelerated Blue Waters supercomputer and NVLink to compute the interactions of atoms that can lead to drug design and materials design. “The GPUs have been really helpful, because we’ve optimized our codes (AMBER, a package of programs for molecular dynamics simulations) that run really efficiently on many GPUs,” says Dr. Cheatham. “The (Tesla) P100s have been amazing, super-fast – work that would take weeks, we can do in days.” To learn more about the most advanced data center ever built, read about the NVIDIA Tesla P100. LEARN MORE

  8. HPC TOP 5 Share Your Science: Extracting Information from Images Anton van den Hengel, director of The University of Adelaide’s Australian Centre for Visual Technologies shares how his research group is working on Visual Question Answering (VQA) which uses deep learning to understand the contents of an image. “The data has been around for a while, but really the GPU technology coming in and allowing us to extract the value out of this data has been the big breakthrough,” said Professor van den Hengel whose team placed second in the 2016 ImageNet Scene Parsing Challenge. Learn more about NVIDIA’s role in deep learning. LEARN MORE

  9. HPC TOP 5 NVIDIA DIGITS Assists Alzheimer’s Disease Prediction Pattern recognition and classification in medical image analysis has been of interest to scientists for many years. Machine learning techniques have enabled researchers to develop and utilize complicated models to classify or predict various abnormalities or diseases. Recently, the successful applications of state-of-the-art deep learning architectures have rapidly expanded in medical imaging. Cutting-edge deep learning tools such as NVIDIA DIGITS along with deep learning frameworks like Caffe, Torch or Theano help researchers concentrate on problem solving and model development rather than coding. We have had success using deep learning and NVIDIA DIGITS for Alzheimer’s Disease prediction. Learn more about Caffe and Torch on NVIDIA Pascal GPUs, or visit the GPU- Ready Apps Quick Start Guides Page. LEARN MORE

  10. Stay Tuned for Weekly HPC Top 5 Stories

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