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AMD Awarded $32 Million FastForward2 Contract

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Today ​AMD announced that for the third straight year it was awarded research grants for development of critical technologies needed for extreme-scale computing in conjunction with projects associated with the U.S. Department of Energy (DOE) Extreme-Scale Computing Research and Development Program, known as “FastForward 2.”

Slidecast: Nvidia/IBM to Build Two Coral 100+ Petaflop Supercomputers in 2017

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In this slidecast, Sumit Gupta from Nvidia describes the company’s big win with IBM for two DOE supercomputers for deployment in 2017. The two machines will feature IBM POWER9 processors coupled with Nvidia’s future Volta GPU technology. NVLink will be a critical piece of the architecture as well, along with a system interconnect powered by Mellanox.

AMD Firepro GPUs Power GSI Physics Research

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Today AMD announced that the company’s FirePro GPU accelerators are delivering more than 3 petaFLOPS to the GSI GmbH for physics research.

NICE DCV Enhances Visualization in the Cloud

Today NICE announced plans to demonstrate their upcoming Desktop Cloud Visualization (DCV) 2014 technology at the AWS re:Invent conference as well as SC14.

Optimizing the HPCG Benchmark on GPUs

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“Over at the Parallel for All Blog, Everett Phillips and Massimiliano Fatica write that GPUs offer good acceleration on the new HPCG benchmark that has been designed to augment Linpack as a measure of performance for the TOP500. Their GPU porting strategy focused on parallelizing the Symmetric Gauss-Seidel smoother (SYMGS), which accounts for approximately two thirds of the benchmark flops.”

Bill Gropp to Teach Designing and Building Applications for Extreme-Scale Systems

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NCSA’s Blue Waters project will offer of an online graduate course on Designing and Building Applications for Extreme-Scale Systems in spring 2015.

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.

GPU Startup? Apply for the $100K Early Stage Challenge

Winning our Early Stage Challenge helped GPU-powered startup Map-D bring interactivity to big data in vivid ways.

Nvidia is looking for a dozen would-be competitors for the Early Stage Challenge – where hot young startups using GPUs vie for a single $100,000 on-the-spot prize.

Industrial Achievements on Blue Waters Using CPUs and GPUs

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In this video from the 2014 HPC User Forum in Seattle, Seid Koric from NCSA presents: Industrial achievements on Blue Waters Using CPUs and GPUs.

New IBM Power Systems Accelerated with GPUs for Big Data

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Today IBM introduced a new series of GPU-accelerated systems capable of handling massive amounts of computational data faster and at a nearly 20% better price performance than comparable Intel-based systems – providing clients a superior alternative to closed, commodity-based data center servers. The vastness of Big Data—of the 2.5 quintillion bytes of data generated on […]