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Piz Daint and Piz Dora: Productive, Heterogeneous Supercomputing

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“The Cray XC30 system at CSCS, which includes “Piz Daint”, the most energy efficient peta-scale supercomputer in operation today, has been extended with additional multi-core CPU cabinets (aka “Piz Dora”). In this heterogeneous system we unify a variety for high-end computing services – extreme scale compute, data analytics, pre- and post processing, as well as visualization – that are all important parts for the scientific workflow.”

Machine Learning: What Computational Researchers Need to Know

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Nvidia GPUs are powering a revolution in machine learning. With the rise of deep learning algorithms, in particular deep convolutional neural networks, computers are learning to see, hear, and understand the world around us in ways never before possible.

Video: Accelerating ORNL’s Applications to the Exascale

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In this video from the Nvidia booth theater at SC14, Buddy Bland from Oak Ridge National Laboratory presents: Accelerating ORNL’s Applications to the Exascale. “The Titan computer at Oak Ridge National Laboratory is delivering exceptional results for our scientific users in the U.S. Department of Energy’s Office of Science, Applied Energy programs, academia, and industry. Mr. Bland will describe the Titan system, how this system fits within the roadmap to exascale machines, and describe successes we have had with our applications using GPU accelerators.”

DOD HPC Mod Program Beefs Up Supercomputing Capacity

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This week the Department of Defense High Performance Computing Modernization Program (HPCMP) announced a new supercomputing investment for use by its engineering and research teams.

Video: Heterogeneous HPC, Architectural Optimization and NVLink

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In this video, Steve Oberlin from Nvidia presents: Heterogeneous HPC, Architectural Optimization and NVLink.

Radio Free HPC Reviews 2014 – The Year in HPC

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In this podcast, Rich, Dan, and Henry review the year in HPC. It was a wild ride, and here we highlight some of our best shows from the past twelve months and the technology milestones that made 2014 a banner year in high performance computing. And did I mention we have a few laughs along the way?

Tesla K80 GPU Sets New Records on STAC-A2 Financial Benchmark

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Today STAC, the financial industry benchmarking organization, announced record performance results on the new Tesla K80 Dual-GPU Accelerator.

Video: Convergence of Extreme Computing and Big Data

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In this video, Satoshi Matsuoka, professor at Tokyo Institute of Technology, examines GPU’s role in the rapidly increasing data volume and processing requirements of so-called big data. Conventional cloud infrastructures will no longer be efficient. Will GPUs play a central role, or will they be peripheral?

A Livermore Perspective on Next-Generation Computing

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In this video from the Nvidia booth at SC14, Terri Quinn from LLNL presents: A Livermore Perspective on Next-Generation Computing. “Terri is responsible for an organization consisting of three divisions with over 400 technical staff working in high-performance computing, computer security, and enterprise computing. Livermore Computing (LC), LLNL’s high performance computing organization, operates some of the most advanced production classified and unclassified computing environments.”

Video: GPU Acceleration – What’s Next?

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GPU-accelerated computing is the use of a graphics processing unit (GPU) together with a CPU to accelerate scientific, analytics, engineering, consumer, and enterprise applications. Pioneered in 2007 by NVIDIA, GPU accelerators now power energy-efficient datacenters in government labs, universities, enterprises, and small-and-medium businesses around the world. GPUs are accelerating applications in platforms ranging from cars, to mobile phones and tablets, to drones and robots.