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The Intersection of Large-Scale Graph Analytics and Deep Learning

Features, CUDA, Deep Learning, Graph Analytics

Nadeem Mohammad, posted Sep 26 2016

Suppose you want to find the most influential user of Twitter. You would need to know not only how many followers everyone has, but also who those followers are, who the followers of those followers are, and so on. This is a graph problem. Graphs are a mathematical structure that model relationships between entities, whether

Machine Learning is Helping Change the Solar Industry

News, Big Data & Data Mining, Cloud, CUDA, cuDNN, Image Recognition, Machine Learning & Artificial Intelligence

Nadeem Mohammad, posted Sep 22 2016

A startup from California is using GPUs and big data to predict what homes are likely to buy solar panels. PowerScout is using GPUs on the Amazon cloud and cuDNN to train their deep learning models on a mix of data from commercial databases and LIDAR to detect solar panels from satellite images, and to

Rapid Registration of Aerial and Orbital Imagery

CUDA Spotlight, CUDA, Image Processing, Image registration, OpenCV

Nadeem Mohammad, posted Sep 21 2016

Devin White, Senior Research Scientist in the Geographic Information Science and Technology Group at Oak Ridge National Laboratory, shares how his team uses computer vision, photogrammetry and high performance techniques accelerated with GPUs to automatically validate the geopositioning accuracy of satellite imagery. White talked with us about the research at the 2016 GPU Technology Conference. Brad

Share Your Science: Accelerating Aircraft Design on the Cloud

News, Research, Cloud, Computer Aided Design (CAD), GRID, Manufacturing, Share Your Science

Nadeem Mohammad, posted Sep 21 2016

Cyril Chamenois, co-founder and COO of Elixir Aircraft, shares how they are using NVIDIA technologies to develop the industry’s first aircraft designed using cloud-based applications. Chameonis mentions Elixir is a small start-up with limited resources, and they are taking advantage of using the best-in-class tools on the cloud instead of investing on a large IT

VRWorks Unreal Engine Branch adds support for VR SLI, Lens Matched Shading, and Single Pass Stereo

GameWorks, VRWorks

David Coombes, posted Sep 20 2016

NVIDIA has released a new VRWorks-enabled branch of Unreal Engine, adding support for new Pascal VRWorks. With this branch, Unreal developers can now easily take advantage of features including Lens Matched Shading, Single Pass Stereo, VR SLI and Multi-res Shading.

Lens Matched Shading uses NVIDIA Pascal hardware features to improve upon Multi-Res Shading, ensuring frame buffer and display pixel rates are matched for optimum performance.

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