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Gigamon Enables SCinet Threat Detection at 100Gb Rates During SC14

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Last week at SC14, Gigamon announced that it will support visibility into SCinet, one of the fastest, most powerful and advanced networks in the world for the fastest computers in the world.

Dr. Eng Lim Goh on Why HPC Matters

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In this video from SC14, SGI CTO Dr. Eng Lim Goh discusses why HPC Matters with Rich Brueckner from insideHPC. They then move on to the topic of Exascale and how SGI plans to get there.

General Dynamics Demos Real-time Data Analytics at SC14

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Last week at SC14, General Dynamics Advanced Information Systems achieved a 10x performance improvement in the advanced processing of very large and dynamic data sets after customizing Apache Hama from the distributed programming model to the parallel programming model best utilized in HPC systems.

SC14 #HPCMatters – Celebrating the Applications

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The doors will soon open, the curtains will rise – and what really #HPCMatters will shine in the floodlights of New Orleans. It will be the applications of HPC that define this SC conference – where the life/business/world-impacting results are found. Applications are the sharp end of the mission. But who or what lies behind application successes?

BigBoards Rolls Out Desktop Hadoop Development Platform

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A Startup called BigBoards has launched a fascinating new product called the HEX, a desktop Hadoop cluster for learning Big Data analytics.

IU to Develop Data Analysis Tools with NSF Grant

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The NSF has awarded $5 million to a team of Indiana University Bloomington computer scientists working to improve how researchers across the sciences empower big data to solve problems.

This Week in HPC: Supercomputing Future Uncertain for NSF, and Cray and SGI Unveil Big Data Appliances

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In this episode of This Week in HPC, Michael Feldman and Addison Snell from Intersect360 Research discuss a recent National Research Council report that indicates the NSF is falling behind in supercomputing. After the break, they look at new Big Data Appliances from Cray and SGI.

Video: Computation, Big Data, and the Future of Cities

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“New data sources are catalyzing new applications and services, changing the way that citizens can interact with the built environment, city government, and one another. Charlie Catlett is a Senior Computer Scientist at Argonne National Laboratory and a Senior Fellow at the Computation Institute, a joint initiative of Argonne and the University of Chicago. Within the Computation Institute, he is Director of the Urban Center for Computation and Data. Charlie will talk about how he and his colleagues are using high-performance computing, data analytics, and embedded systems to better understand and design cities.”

GPUdb: A Distributed Database for Many-Core Devices

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GPUdb is a scalable, distributed database with SQL-style query capability, capable of storing Big Data. Developers using the GPUdb API add data, and query the data with operations like select, group by, and join. GPUdb includes many operations not available in other “cloud database” offerings. GPUdb applies a new (patented) concept in database design that puts emphasis on leveraging the growing trend of many-core devices. By building GPUdb from the ground up around this new concept we are able to provide a system that merges the query needs of the traditional relational database developer with the scalability demands of the modern cloud-centric enterprise.

Slidecast: Cray Rolls Out Urika-XA Advanced Analytics Platform

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“The Cray Urika-XA system provides customers with the benefits of a turnkey analytics appliance combined with a flexible, open platform that can be modified for future analytics workloads. Designed for customers with mission-critical analytics challenges, the Cray Urika-XA system reduces the analytics footprint and total cost of ownership with a single-platform consolidating a wide range of analytics workloads.”