Share Your Science: Unraveling Membrane Proteins with GPUs

Research, Bioinformatics & Genomics, CUDA, Medical and LifeSciences, Molecular Dynamics, Share Your Science, SuperComputing

Nadeem Mohammad, posted Feb 09 2016

Erik Lindahl, Professor of Biophysics at Stockholm University, talks about using the GPU-accelerated GROMACS application to simulate protein dynamics. This approach helps researchers learn how to design better drugs, combat alcoholism and understand how certain diseases occur. Lindahl mentions they started using CUDA in their work nearly five years ago and now 90% of their

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Weekly Social Roundup

News, CUDA, GeForce, Machine Learning & Artificial Intelligence, Weekly Social Roundup

Nadeem Mohammad, posted Feb 05 2016

We love seeing all of the social media posts from developers using NVIDIA GPUs – here are a few highlights from the week: My New Workstation for Machine Learning, x99 with Geforce gtx980 https://t.co/ee5KdQlhJw @GPUComputing — Ozan Gunaydin (@Dozimas) February 1, 2016 Finally learning the fundamentals of deep learning @NVIDIA s #DLWorkshop. Looking forward to

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Weekly Social Roundup

News, Big Data & Data Mining, Computer Vision, CUDA, DIGITS, GeForce, Machine Learning & Artificial Intelligence, Tesla

Nadeem Mohammad, posted Jan 22 2016

We love seeing all of the social media posts from developers using NVIDIA GPUs – here are a few highlights from the week: Should be titled everyone partners with nvidia on AI development. Cuda is controlling the market. https://t.co/75ElB6ZhO2 — Geoffrey Papilion (@gpapilion) January 20, 2016 OMG! — I need this yesterday NVIDIA® DIGITS™ DevBox

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Weekly Social Roundup

News, CUDA, GeForce, Machine Learning & Artificial Intelligence, Tesla

Nadeem Mohammad, posted Jan 15 2016

We love seeing all of the social media posts from developers using NVIDIA GPUs – here are a few highlights from the week: a good improvement on training CNN on #DeepLearning install cuDNN, for me in GTX-970 give me 3 times better performance per layer — angelo337 (@angelo337) January 11, 2016 Titan X ready to

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Pedestrian-Following Service Robots Made Possible with CUDA Acceleration

Research, Academic, Autonomous, C/C++, CUDA, GeForce, Robotics, Social Impact

Nadeem Mohammad, posted Jan 13 2016

A team of researchers from Seoul National University built a pedestrian-following service robot to drive smart shopping carts and other autonomous helpers. The performance of their initial CPU-only implementation was “not acceptable for a real-time system” so they now use a GPU-accelerated CUDA implementation for a 13x performance boost. Mobile robots that track a person

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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. He began his career developing software on the first CUDA capable GPU, and now runs simulations on one of the world’s most powerful supercomputers. His “contributions to the development and dissemination of the open source, GPU-enabled

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Developing New Materials with GPU-Accelerated Supercomputers

CUDA Spotlight, CUDA, Materials Science, Molecular Dynamics, Monte Carlo, Python

Nadeem Mohammad, posted Jan 06 2016

Dr. Joshua A. Anderson is a Research Area Specialist at the University of Michigan who was an early user of GPU computing technology. He began his career developing software on the first CUDA capable GPU and now runs simulations on one of the world’s most powerful supercomputers. Anderson’s “contributions to the development and dissemination of

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Open, Reproducible Computational Chemistry with Python and CUDA

CUDA Spotlight, Computational Chemistry, CUDA, Python

Nadeem Mohammad, posted Oct 12 2015

Increasingly, computational chemistry researchers use GPUs to push the boundaries of discovery. This motivated Christopher Cooper, an Instructor at Universidad Técnica Federico Santa María in Chile, to move to a Python-based software stack. Cooper’s recent paper, “Probing protein orientation near charged nanosurfaces for simulation-assisted biosensor design,” was recently accepted in J. Chemical Physics. Brad: Can you talk a

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Combine OpenACC and Unified Memory for Productivity and Performance

Features, CUDA, LULESH, OpenACC, Optimization, Unified Memory

Nadeem Mohammad, posted Oct 01 2015

The post Getting Started with OpenACC covered four steps to progressively accelerate your code with OpenACC. It’s often necessary to use OpenACC directives to express both loop parallelism and data locality in order to get good performance with accelerators. After expressing available parallelism, excessive data movement generated by the compiler can be a bottleneck, and correcting this by

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ASTC Compression Gets a CUDA Boost!

tegra, CUDA, Shield, GameWorks, ASTC

Andrew Edelsten, posted Jun 09 2015

NVIDIA is using CUDA and the power of GeForce to accelerate Adaptive Scalable Texture Compression (ASTC) along multiple axes!

Guest Blogger: Fei Yang

As a programmer, I love challenging jobs, and this is one them!

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