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. MASSIVE-3 is equipped with both Tesla K80 GPUs and GRID K1 GPUs for data processing and visualization, driving the new system nearly four times faster than MASSIVE-2. Over the past five years, MASSIVE has played a key

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Preparing for Real HDR

GameWorks, GameWorks Expert Developer

Evan Hart, posted Mar 11 2016

High Dynamic Range Displays allow for more vibrant and realistic graphics for games. We are reaching a tipping point where game developers can really start to take advantage of HDR. NVIDIA has been researching the technology for some time (we showed HDR demos at SIGGRAPH 2014 and 2015) and have many insights on the benefits and challenges. Read this article to find out more.

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AmpMe Connects Your Phone with Others to Make One Sound System

News, CUDA, cuDNN, Internet / Communications, Machine Learning & Artificial Intelligence

Nadeem Mohammad, posted Mar 11 2016

After crossing 1.5M downloads, the free music-syncing app AmpMe now allows users to party without an internet connection using a new machine learning-powered predictive syncing technology. AmpMe streams music to multiple devices in perfect sync so friends can enjoy music together anywhere, without setting up a sound system. In the latest version, the new Predictive Sync”

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6 Companies That Rocked Embedded World with the Jetson TX1

Embedded Computing, Jetson

Lan Malin, posted Mar 10 2016

NVIDIA’s booth was rocking at last week’s Embedded World 2016, in Nuremberg, Germany, as a raft of companies showed what our Jetson TX1 supercomputing module can do. There were six particular standouts using Jetson: Awabot, from France, showed Emox, a companion robot capable of face and gesture recognition, voice interaction and face tracking.

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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. Tromp and his team are simulating seismic wave propagation by analyzing hundreds of earthquakes recorded by thousands of stations across the world to create

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