October 23, 2018

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NVIDIA and Red Hat Announce Support for RHEL on DGX-1 Servers

Artificial Intelligence (AI) has become increasingly pervasive in driving internal and external innovation in enterprises — especially so with the proliferation of NVIDIA DGX-1 servers … Read more

October 22, 2018

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Painting a Clearer Picture of the Heart with GPU-accelerated Computing

Coronary artery disease affects more than two million people annually in the United States, and is the single largest health problem in the world … Read more

October 18, 2018

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University of Michigan to Install a New GPU-Accelerated Cluster

The University of Michigan has just announced a brand new GPU-accelerated cluster that will include NVIDIA’s Tesla V100 Tensor Core GPUs, the most advanced data center GPU ever built … Read more

October 17, 2018

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RAPIDS Accelerates Data Science End-to-End

At GTC Europe in Munich Germany, NVIDIA announced RAPIDS, a suite of open-source software libraries for executing end-to-end data science and analytics pipelines entirely on GPUs. … Read more

October 11, 2018

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Visualizing Star Polymers in Record Time

In the last five minutes, you have probably come into contact with more polymers than you can count … Read more

October 11, 2018

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University of Reims Champagne-Ardenne Gets a New GPU-Accelerated Supercomputer

Earlier this month the University of Reims Champagne-Ardenne in France announced the availability of a new GPU-accelerated supercomputer ROMEO … Read more

October 8, 2018

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AI and the Summit GPU-Accelerated Supercomputer Helps Identify Extreme Weather Patterns

According to the National Centers for Environmental Information (NOAA) In 2018, there have been over seven weather and climate disaster events with losses exceeding $1 billion each in the United States … Read more

October 3, 2018

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Nature: Supercharge your Research with a GPU

NVIDIA GPUs power the world’s fastest supercomputer, and 20 of the 100 most powerful supercomputing clusters in the world are also powered by them too … Read more

October 3, 2018

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GPU-Accelerated Cluster Helps Researchers Simulate the Spin of a Golf Ball

The professional golfer can hit a golf ball at a speed of 120 to 134 mph, resulting in a spin rate of 2800 to 3500 revolutions per minute, and a distance over 200 yards … Read more

October 1, 2018

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New OpenACC Online Course Will Help You Quickly Accelerate Your Code on GPUs

In the age of Exascale, scientists are striving to use the latest generation of supercomputers to do more science faster … Read more

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Category Archives: Accelerated Computing

NVIDIA and Red Hat Announce Support for RHEL on DGX-1 Servers

Painting a Clearer Picture of the Heart with GPU-accelerated Computing

University of Michigan to Install a New GPU-Accelerated Cluster

RAPIDS Accelerates Data Science End-to-End

Visualizing Star Polymers in Record Time

University of Reims Champagne-Ardenne Gets a New GPU-Accelerated Supercomputer

AI and the Summit GPU-Accelerated Supercomputer Helps Identify Extreme Weather Patterns

Nature: Supercharge your Research with a GPU

GPU-Accelerated Cluster Helps Researchers Simulate the Spin of a Golf Ball

New OpenACC Online Course Will Help You Quickly Accelerate Your Code on GPUs

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