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XSEDE & UC Berkeley Offer Online Parallel Computing Course

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The XSEDE project and the University of California, Berkeley are offering an online course on parallel computing for graduate students and advanced undergraduates.

Five Reasons To Deploy Cicso UCS Infrastructure

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Cisco UCS solutions allow for a faster and more optimized deployment of a computing infrastructure. This solution brief details how the Cisco UCS infrastructure can help your organization become more productive more quickly and can achieve business results without having to be concerned with fitting together various pieces of disparate hardware and software.

Microsoft Boosts Azure with GS-Series VMs for Compute-intensive Workloads

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Today Microsoft announced their GS-Series of premium VMs for Compute-intensive workloads. “Powered by the Intel Xeon E5 v3 family processors, the GS-series can have up to 64TB of storage, provide 80,000 IOPs (storage I/Os per second) and deliver 2,000 MB/s of storage throughput. The GS-series offers the highest disk throughput, by more than double, of any VM offered by another hyperscale public cloud provider.”

Video: DARPA’s SyNAPSE and the Cortical Processor

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“I will describe a decade-long, multi-disciplinary, multi-institutional effort spanning neuroscience, supercomputing and nanotechnology to build and demonstrate a brain-inspired computer and describe the architecture, programming model and applications. I also will describe future efforts in collaboration with DOE to build, literally, a “brain-in-a-box”. The work was built on simulations conducted on Lawrence Livermore National Laboratory’s Dawn and Sequoia HPC systems in collaboration with Lawrence Berkeley National Laboratory.”

HPC User Forum Meetings Coming to Paris and Munich in October

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The HPC User Forum has posted their Agendas for upcoming meetings in Europe next month.

ISC 2016 Issues Call for Papers

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The ISC High Performance conference has issued its Call for Papers. As Europe’s most renowned forum for high performance computing, ISC 2016 will take place June 20-22, 2016 in Frankfurt, Germany.

Video: Doing Computational Chemistry with Square Pegs and Round Holes

Devin Matthews, University of Texas at Austin

“Existing computational chemistry packages are tightly integrated, with few interchangeable components, data structures and algorithms. Interoperation between packages is an issue of particular interest to the chemistry community but is only slowly gaining traction. In this talk I will show how the Aquarius quantum chemistry framework takes the philosophy that abstraction layers can be created to interface with external programs and libraries that use expert knowledge of those systems to leverage their native interfaces. This philosophy is illustrated with the example of tensor contraction, where an interface layer has been created to dynamically build on the features of various external tensor libraries.”

DECI in Europe Issues Call for Proposals for HPC Compute Resources

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The Distributed European Computing Initiative (DECI) in Europe has issued its 13th Call for Proposals for HPC Compute Resources. “Administered by PRACE, DECI enables European researchers to obtain access to the most powerful national (Tier-1) computing resources in Europe regardless of their country of origin or employment and to enhance the impact of European science and technology at the highest level.”

Time-lapse Video: Installation of Cray Supercomputer at UK Met Office

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In this video, technicians install the first phase of a new Cray XC supercomputer at the U.K. Met Office. “Consisting of three phases spanning multiple years, the $128 million contract expands Cray’s significant presence in the global weather and climate community, and is the largest supercomputer contract ever for Cray outside of the United States.

Video: Why is HPC so Important to AI?

Bryan Catanzaro, Baidu

In this video from the SF Big Analytics Meetup, Bryan Catanzaro from Baidu presents: Why is HPC so important to AI? “We built Deep Speech because we saw the opportunity to re-conceive speech recognition in light of the new capabilities afforded by Deep Learning, to take advantage of even larger datasets to solve even harder problems.”