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Video: Quantum Computers and Quantum Chemistry

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In this video from the Department of Energy Computational Science Graduate Fellowship meeting, Jarrod McClean from Harvard University presents: Quantum Computers and Quantum Chemistry.

Video: Argonne’s Pete Beckman Describes the Challenges of Exascale

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“Argonne National Laboratory is one of the laboratories helping to lead the exascale push for the nation with the DOE. We lead in a numbers of areas with software and storage systems and applied math. And we’re really focusing, our expertise is focusing on those new ideas, those novel new things that will allow us to sort of leapfrog the standard slow evolution of technology and get something further out ahead, three years, five years out ahead. And that’s where our research is focused.”

Intel to Invest $50 Million in Quantum Computing

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Today Intel announced a 10-year collaborative relationship with the Delft University of Technology and TNO, the Dutch Organization for Applied Research, to accelerate advancements in quantum computing. To achieve this goal, Intel will invest US$50 million and will provide significant engineering resources both on-site and at Intel, as well as technical support. “Quantum computing holds the promise of solving complex problems that are practically insurmountable today, including intricate simulations such as large-scale financial analysis and more effective drug development.”

An Open Invitation to Work on the Tianhe-2 Supercomputer

Dr. Yutong Lu, NUDT

European researchers are welcome to use the world’s fastest supercomputer, the Tianhe-2, to pursue their research in collaboration with Chinese scientists and HPC specialists. “Enough Ivy Bridge Xeon E5 2692 processors had already been delivered to allow the Tianhe-2 to be upgraded from its current 55 Petaflops peak performance to the 100 Petaflops mark.”

Autotune Code from ORNL Tunes Your Building Energy Efficiency

Automated calibration software for building efficiency studies, developed by Oak Ridge National Laboratory researchers Jibonananda Sanyal (left) and Joshua New, is now available as an open source code.

A team at Oak Ridge has developed a set of automated calibration techniques for tuning residential and commercial building energy efficiency software models to match measured data. Their open source Autotune code is now available on GitHub.

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.

New Intel® Omni-Path White Paper Details Technology Improvements

Rob Farber

The Intel Omni-Path Architecture (Intel® OPA) whitepaper goes through the multitude of improvements that Intel OPA technology provides to the HPC community. In particular, HPC readers will appreciate how collective operations can be optimized based on message size, collective communicator size and topology using the point-to-point send and receive primitives.