Amazon Releases Open-Source Deep Learning Software

News, Research, Cloud, Development Tools & Libraries, Image Processing, Internet / Communications, Machine Learning & Artificial Intelligence

Nadeem Mohammad, posted May 11 2016

With hundreds of millions of customers shopping daily on Amazon, it’s critical they help them discover the right product from their massive catalog of products. Amazon’s Deep Scalable Sparse Tensor Network Engine (DSSTNE or “Destiny”) is a deep learning framework built from the ground up to help researchers develop search and recommendation systems. With multi-GPU

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Scientists Gather at University of Delaware for OpenACC Hackathon

Events, Research, Computational Fluid Dynamics (CFD), Government / National Labs, Higher Education / Academia, Medical & Life Sciences, OpenACC, physics

Nadeem Mohammad, posted May 10 2016

Oak Ridge National Lab, NVIDIA and PGI launched the OpenACC Hackathon initiative last year to help scientists accelerate applications on GPUs. OpenACC was selected as a primary tool since it offers acceleration without significant programming effort and works great with existing application codes. University of Delaware (UDEL) hosted a five-day Hackathon last week. Selected teams

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Share Your Science: Visualizing Protein Structures with High Performance Computing

Research, Big Data & Data Mining, Cluster / Supercomputing, Higher Education / Academia, Medical & Life Sciences, Share Your Science, Tesla

Nadeem Mohammad, posted May 09 2016

Dr. Wojtek Goscinski, High Performance Computing Manager at the Monash University eResearch Center, shares how his team is using supercomputers accelerated by NVIDIA Tesla GPUs to process and analyze big data to create visualizations of large-scale molecular datasets. Dr. Goscinski mentions they are able to process their data within hours with GPUs as opposed to

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Weekly Social Roundup from Twitter

News, Business Intelligence & Analytics, cuDNN, Machine Learning & Artificial Intelligence, Virtual Reality, Weekly Social Roundup

Nadeem Mohammad, posted May 06 2016

We love seeing all of the GPU-related tweets – here’s some that we came across this week: #HPEAspire great session on how @nvidia @hpe deep level machine learning can solve more of the world's problems together #HPC — Heath Muchmore (@MuchmoreIT) May 5, 2016 Crossing my fingers we get a @nvidia #DGX1! #DeepLearning is cool,

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Accelerate Recommender Systems with GPUs

CUDA Spotlight, Big Data, CUDA, Machine Learning, Matrix Factorization, Recommender Systems

Nadeem Mohammad, posted May 05 2016

Wei Tan, Research Staff Member at IBM T. J. Watson Research Center shares how IBM is using NVIDIA GPUs to accelerate recommender systems, which use ratings or user behavior to recommend new products, items or content to users. Recommender systems are important in applications such as recommending products on retail sites, recommending movies or music on

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