Artificial Intelligence Helps Identify Molecular Structures

Artificial Intelligence, cuDNN, GeForce, Geoscience, Higher Education/Academia, Image Recognition, Machine Learning & Artificial Intelligence

Nadeem Mohammad, posted Nov 02 2017

University of San Diego researchers developed a deep learning-based method to identify the molecular structures of natural products such as soil microorganisms, terrestrial plants and, marine life forms.

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Share Your Science: Earthquake Simulations at Extreme Scale

Research, Cluster / Supercomputing, CUDA, Geoscience, Government / National Labs, Higher Education / Academia, physics, Share Your Science, Tesla

Nadeem Mohammad, posted Feb 02 2017

Phil Maechling, a computer scientist at USC’s Southern California Earthquake Center shares how they are using the Tesla GPU-accelerated Titan and Blue Waters supercomputers with CUDA to analyze the impact of earthquakes and why and when they occur.

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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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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: Mapping the Earth’s Interior with GPUs

Research, Big Data & Data Mining, Geoscience, Government / National Labs, Seismic Processing, Share Your Science, Tesla

Nadeem Mohammad, posted Mar 10 2016

Jeroen Tromp, Professor at Princeton University shares how his team is using the Tesla GPU-accelerated Titan Supercomputer at Oak Ridge National Laboratory to image the earth’s interior on a global scale.

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