Government / National Labs

GPU-Accelerated Supercomputers Create Largest Simulation of the Universe

Research, Astronomy & Astrophysics, Cluster, Government / National Labs, Higher Education / Academia, Tesla

To investigate the nature of dark matter and dark energy, researchers from University of Zurich simulated the formation of our entire universe with the help of two GPU-accelerated supercomputers.

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3D Map of Earth’s Interior

Features, Research, Climate/Weather/Ocean Modeling, Cluster / Supercomputing, Government / National Labs, Higher Education / Academia, Tesla

A team of researchers led by Jeroen Tromp at Princeton University used a GPU-accelerated supercomputer to create a detailed 3D picture of Earth’s interior.

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Developer Spotlight: Automated Biomedical Image Annotation

Research, Cluster / Supercomputing, Developer Spotlight, Government / National Labs, Higher Education / Academia, Image Recognition, Machine Learning & Artificial Intelligence, Neuroscience, Tesla

Ishtar Nyawira, a data science intern at the Pittsburgh Supercomputer Center shares how she is using deep learning and the GPU-accelerated Bridges supercomputer to automate the process of biological image annotation from high-resolution scanning elec

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Developer Spotlight: Defending the Planet Against Asteroids with Artificial Intelligence

Research, Astronomy & Astrophysics, Cluster / Supercomputing, Defense, Developer Spotlight, GeForce, Government / National Labs, Image Recognition, Jetson, Machine Learning & Artificial Intelligence

James Parr, co-director of the NASA Frontier Development Lab (FDL) shares how NVIDIA GPUs and deep learning can help detect, characterize and deflect asteroids.

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Developer Spotlight: Earth Science Monitoring with Satellite Imagery

Research, Climate/Weather/Ocean Modeling, Cluster / Supercomputing, Developer Spotlight, Government / National Labs, Image Recognition, Machine Learning & Artificial Intelligence

Sangram Ganguly, a senior research scientist at the NASA Ames Research Center shares how they are analyzing satellite imagery with deep learning to gain a better understanding of our planet.

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23,000 Atoms Mapped for First Time

Research, Cluster / Supercomputing, CUDA, Government / National Labs, Higher Education / Academia, Molecular Dynamics, Tesla

Scientists used an extremely high-resolution transmission electron microscope to capture 2D projections of the nanoparticle’s structure, and used an algorithm to stitch those together into a 3D reconstruction.

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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

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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Supercomputer Helps Understand How Jupiter Evolved

Research, Astronomy & Astrophysics, Cluster / Supercomputing, cu, Government / National Labs, Higher Education / Academia, Tesla

Researchers from ETH Zürich and the Universities of Zürich and Bern simulated different scenarios on the computing power of the GPU-accelerated Swiss National Supercomputing Centre (CSCS) to find out how young giant planets exactly form and evolve.

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Share Your Science: Calculating High-Accuracy Molecular Energies With GPUs

Research, Cluster / Supercomputing, Computational Chemistry, Government / National Labs, Higher Education / Academia, OpenACC, Share Your Science, Tesla

Janus Juul Eriksen, a Ph.D. fellow at Aarhus University in Denmark, shares how he is using OpenACC to optimize and accelerate the quantum chemistry code LSDalton on the Titan Supercomputer at Oak Ridge National Laboratory.

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Share Your Science: Improving the Geolocation Accuracy of Aerial and Orbital Imagery with GPUs

Research, Computer Vision & Machine Vision, CUDA, Defense, Government / National Labs, Image Recognition, Share Your Science, Tesla

Devin White, Senior Researcher at Oak Ridge National Laboratory shares how they are using GPUs to improve the geolocation accuracy of imagery collected by a satellite, manned aircraft, or an unmanned aerial system.

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