Webinar: GPU-Accelerated Analysis of DNA Sequencing Data

Accelerated Computing, Artificial Intelligence, Cloud, Healthcare & Life Sciences, Machine Learning & Artificial Intelligence, Tesla, Workstation

Nadeem Mohammad, posted Feb 17 2018

Personalizing treatments based on patients’ genetic variation will revolutionize how medicine cures diseases; but time to analysis has become a major bottleneck.

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Detecting Gravitational Waves in Real-Time with Deep Learning

Accelerated Computing, Artificial Intelligence, Astronomy & Astrophysics, Cluster/Supercomputing, Higher Education/Academia, Machine Learning & Artificial Intelligence

Nadeem Mohammad, posted Jan 25 2018

Scientists at the National Center for Supercomputing Applications (NCSA), located at the University of Illinois at Urbana-Champaign used GPUs and deep learning to rapidly detect and characterize gravitational waves.

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Oil Giant Launches Supercomputer to Analyze Subsoil Data

Accelerated Computing, Big Data & Data Mining, Cluster/Supercomputing, Energy/Oil & Gas, Geoscience

Nadeem Mohammad, posted Jan 24 2018

The Italian multinational oil giant Eni deployed a 18.6 petaflops GPU-accelerated supercomputer, making it the most powerful industrial system in the world.

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Supercomputer Helps Provide Insight Into Mysterious Black Hole Relativistic Jets

Accelerated Computing, Astronomy & Astrophysics, Cluster/Supercomputing, Higher Education/Academia, Tesla

Nadeem Mohammad, posted Jan 16 2018

Researchers from University of Amsterdam and Northwestern University used the GPU-accelerated Blue Waters supercomputer to produce the first ever simulation to demonstrate that relativistic jets follow along with the precession of the tilted accretio

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Using CUDA Warp-Level Primitives

Accelerated Computing, Cooperative Groups, CUDA, Featured, Volta

Nadeem Mohammad, posted Jan 15 2018

NVIDIA GPUs execute groups of threads known as warps in SIMT (Single Instruction, Multiple Thread) fashion. Many CUDA programs achieve high performance by taking advantage of warp execution.

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Using CUDA Warp-Level Primitives

Accelerated Computing, CUDA, Tesla

Nadeem Mohammad, posted Jan 15 2018

NVIDIA GPUs execute groups of threads known as warps in SIMT (Single Instruction, Multiple Thread) fashion. Many CUDA programs achieve high performance by taking advantage of warp execution.

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Hybridizer: High-Performance C# on GPUs

Accelerated Computing, CUDA

Nadeem Mohammad, posted Dec 15 2017

Hybridizer is a compiler from Altimesh that lets you program GPUs and other accelerators from C# code or .NET Assembly.

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Hybridizer: High-Performance C# on GPUs

Accelerated Computing, .NET, C++, CUDA

Nadeem Mohammad, posted Dec 13 2017

Hybridizer is a compiler from Altimesh that lets you program GPUs and other accelerators from C# code or .NET Assembly.

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NVIDIA SDK Updated With New Releases of TensorRT, CUDA, and More

Accelerated Computing, Artificial Intelligence, Features, Robotics, Cloud, CUDA, cuDNN, Higher Education/Academia, Machine Learning & Artificial Intelligence, TensorRT, Tesla

Nadeem Mohammad, posted Dec 06 2017

At NIPS 2017, NVIDIA announced new software releases for deep learning and HPC developers.  The latest SDK updates include new capabilities and performance optimizations to TensorRT, CUDA toolkit and the new project CUTLASS library.

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How Jet Built a GPU-Powered Fulfillment Engine with F# and CUDA

Accelerated Computing, .NET, Alea GPU, CUDA, F#, Featured

Nadeem Mohammad, posted Nov 30 2017

Have you ever looked at your shopping list and tried to optimize your trip based on things like distance to store, price, and number of items you can buy at each store?

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