Improving Biomolecular Design with GPU-Accelerated Supercomputers

Accelerated Computing, Cluster/Supercomputing, Material Science, Molecular Dynamics, Tesla

Nadeem Mohammad, posted May 18 2018

For the first time ever, chemists from the University of California, San Diego designed a two-dimensional protein crystal simulation that toggles between states of varying porosity and density.

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Texas A&M Launches New GPU-Accelerated Supercomputer

News, Research, Climate/Weather/Ocean Modeling, Cluster / Supercomputing, Geoscience, Higher Education / Academia, Material Science, Tesla

Nadeem Mohammad, posted Oct 20 2016

Texas A&M installed a new $2.1 million supercomputer with 10 times the processing power of their previous system Eos, which was launched in 2009.

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Analyzing Scientific Data from Mars with Deep Learning

Research, Big Data & Data Mining, CUDA, cuDNN, Higher Education / Academia, Machine Learning & Artificial Intelligence, Material Science, Robotics

Nadeem Mohammad, posted Jun 07 2016

Researchers from University of Massachusetts Amherst and Mount Holyoke College received a four-year grant from the National Science Foundation to analyze images and data on the chemical composition of rocks and dust from NASA’s Curiosity rover.

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Monash University Upgrades MASSIVE GPU-Accelerated Supercomputer

Research, Big Data & Data Mining, Geoscience, GRID, Higher Education / Academia, Material Science, Tesla

Nadeem Mohammad, posted Mar 15 2016

To accelerate biomedical research, Australia’s Monash University boosted its research infrastructure with a third GPU-accelerated supercomputer called MASSIVE-3.

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Share Your Science: Accelerating Digital Rock Physics with GPUs

Research, Computational Fluid Dynamics (CFD), Material Science, Oil & Gas, physics, Share Your Science, Simulation, SuperComputing, Tesla

Nadeem Mohammad, posted Feb 01 2016

James McClure, a Computational Scientist with Advanced Research Computing at Virginia Tech describes how they are using the NVIDIA Tesla GPU-accelerated Titan Supercomputer at Oak Ridge National Laboratory.

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Developing New Materials with GPU-Accelerated Supercomputers

Research, Academic, CUDA, Material Science, Molecular Dynamics, Monte Carlo, Python, SuperComputing

Nadeem Mohammad, posted Jan 07 2016

Research Area Specialist Dr. Joshua A. Anderson at University of Michigan was an early user of GPU computing technology.

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