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Slidecast: Deep Learning – Unreasonably Effective

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“Deep Learning is a new area of Machine Learning research, which has been introduced with the objective of moving Machine Learning closer to one of its original goals: Artificial Intelligence. At the 2015 GPU Technology Conference, you can join the experts who are making groundbreaking improvements in a variety of deep learning applications, including image classification, video analytics, speech recognition, and natural language processing.”

Call for Papers: ISC Cloud & Big Data

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The inaugural ISC Cloud & Big Data conference has announced its Call for Research Papers. The event takes place Sept. 28-30 in Frankfurt, Germany. The organizers are looking forward to welcoming international attendees – IT professionals, consultants and managers from organizations seeking information about the latest cloud and big data developments. Researchers in these two […]

Video: Introduction to Bridges Supercomputer at PSC

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Bridges is a uniquely capable supercomputer designed to help researchers facing challenges in Big Data to work more intuitively. Called Bridges, the new system will consist of tiered, large-shared-memory resources with nodes having 12TB, 3TB, and 128GB each, dedicated nodes for database, web, and data transfer, high-performance shared and distributed data storage, Hadoop acceleration, powerful new CPUs and GPUs, and a new, uniquely powerful interconnection network.

Video: SGI UV Finds the Needle in the Big Data Haystack

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According to IDC, SGI has shipped approximately 8 percent of of all the Hadoop servers in production today. In fact, did you know that SGI introduced the word “Big Data” to supercomputing in 1996? Jorge Titinger, SGI President and CEO, shares SGI’s history in helping to design, develop, and deploy Hadoop clusters. (NOTE: Straw was substituted for actual hay to avoid any potential allergic reactions.)

CloudyCluster Moves HPC out of the Data Center and Into the Cloud

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CloudyCluster allows you to quickly set up and configure a cluster on Amazon Web Services (AWS) to handle the most demanding HPC and Big Data tasks. You don’t need access to a data center and you don’t have to be an expert in the ins and outs of running computationally intensive workloads in a cloud environment.

Data Intensive Computing: The Gorilla behind the Computation

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In this video from the Dell booth at SC14, Rich Brueckner from insideHPC moderates a panel discussion on Data Intensive Computing panelists Ken Buetow (Arizona State University), Erik Deumens (University of Florida), Niall Gaffney (TACC), and William Law (Stanford University).

HPC News with Snark for the Week of Jan. 12, 2015

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The news has started to pile up this post-Holiday Season, so here is the HPC News with Snark for Friday, January 16, 2014. We’ve got podcasts on everything form self-driving cars to Data Breaches resulting from North Korean satire films. There’s even some big financial surprises from Intel.

Video: Deep Learning on GPU Clusters

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“Deep neural networks have recently emerged as an important tool for difficult AI problems, and have found success in many fields ranging from computer vision to speech recognition. Training deep neural networks is computationally intensive, and so practical application of these networks requires careful attention to parallelism. GPUs have been instrumental in the success of deep neural networks, because they significantly reduce the cost of network training, which then has allowed many researchers to train better networks. In this talk, I will discuss how we were able to duplicate results from a 1000 node cluster using only 3 nodes, each with 4 GPUs.”

City University Powers Research with Big Memory SGI UV 300

SGI UV 300

This week SGI announced that the City University of New York (CUNY) has selected an SGI UV 300 supercomputer to support the university’s interdisciplinary research and educational activities through SGI’s platinum partner Comnetco, Inc.