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PSC Joins OpenHPC Framework

In partnership with PSC and other organizations the Linux Foundation, the nonprofit advancing professional open source management for mass collaboration, today is announcing technical, leadership and member investment milestones for OpenHPC, a Linux Foundation project to develop an open source framework for High Performance Computing (HPC) environments. While HPC is often thought of as a hardware-dominant industry, the software requirements needed to accommodate supercomputing deployments and large-scale modeling requirements is increasingly more demanding. An open source framework like O...

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XSEDE Names 2016 Campus Champion Fellows

The National Science Foundation’s Extreme Science and Engineering Discovery Environment (XSEDE) program has named the fifth cohort of Fellows for its Campus Champions (CC) program, pairing a Champion with a member of XSEDE’s Extended Collaborative Support Services (ECSS) staff to work on real-world science and engineering projects for about one year. Campus Champions are local faculty, staff and researchers at over 200 U.S. institutions who advise researchers on the use of high-end cyberinfrastructure (including XSEDE resources) at their respective campuses. The goal of the CC Fellows...

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93 Petaflop Chinese Supercomputer is World’s Fastest on Latest TOP500 List

A new machine called Sunway TaihuLight in China is the fastest supercomputer on the planet. Announced today with the release of the latest TOP500 list, the 93 Petaflop machine sports over 10.6 Million compute cores. China maintained its Number 1 ranking on the 47th edition of the TOP500 list of the world’s top supercomputers, but with a new system built entirely using processors designed and made in China. Sunway TaihuLight is the new No. 1 system with 93 petaflops (quadrillions of calculations per second) on the LINPACK benchmark. Developed by the National Research Center of Parallel C...

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Cloud HPC Leader Rescale Closes $14 Million Funding Round to Fuel Global Expansion

Rescale, the leader in cloud HPC, secures $14 million in Series A funding led by TransLink Capital with participation from Microsoft Ventures, Jump Capital, ITOCHU Technology Ventures, Two Roads Group, and Data Collective. Rescale's expansion plans will help meet the escalating worldwide customer demand for enterprise-class HPC platforms to help large enterprises transition from expensive legacy on premise systems to scalable, agile, and high performing cloud computing infrastructure. The Series A funding adds to existing seed investments from Sam Altman, Jeff Bezos, Richard Branson, Data...

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OpenHPC Establishes Leadership & Releases Initial Software Stack

The Linux Foundation announced a set of technical, leadership and member investment milestones for OpenHPC, a Linux Foundation project to develop an open source framework for High Performance Computing environments. While HPC is often thought of as a hardware-dominant industry, the software requirements needed to accommodate supercomputing deployments and large-scale modeling requirements is increasingly more demanding. An open source framework like OpenHPC promises to close technology gaps that hardware enhancements alone can’t address. Many organizations have shown their support for t...

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OpenACC Adds Support for OpenPOWER; Touts Growing Traction

In a show of strength leading up to ISC the OpenACC standards group today announced its first OpenPOWER implementation, the addition of three new members – University of Illinois, Brookhaven National Laboratory, and Stony Brook University – and details of its expanding 2016 training schedule. Michael Wolfe, technical director of OpenACC, also talked about thorny compiler challenges still remaining as the number of processor (all types) cores grows and memory management issues become more complex. Currently in private beta testing and planned for public beta in August, the PGI OpenACC ...

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Google DeepMind Researchers Develop AI Kill Switch

Artificial intelligence doesn't have to include murderous, sentient super-intelligence to be dangerous. It's dangerous right now, albeit in generally more primitive terms. If a machine can learn based on real-world inputs and adjust its behaviors accordingly, there exists the potential for that machine to learn the wrong thing. If a machine can learn the wrong thing, it can do the wrong thing. Laurent Orseau and Stuart Armstrong, researchers at Google's DeepMind and the Future of Humanity Institute, respectively, have developed a new framework to address this in the form of "safely interr...

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NVIDIA GP100 GPU Release Date for Tesla P100 Graphics Board This Month

The new Pascal graphics processing unit (GPU) architecture was revealed by NVIDIA last month, and since then, it has captured the imagination of gamers who do not mind spending more to get the best gaming experience. However, focus is now shifting to the NVIDIA Pascal GP100 GPU as benchmark results of it have appeared online. As a result of this benchmark test, it was revealed that a Tesla P100 was able to do better than a quad Titan X configuration. Also, when comparing the GeForce GTX 1080 against the GP100 GPU, it was found to be equally fast. Given these results, it is estimated that ...

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Google moves closer to a universal quantum computer

For 30 years, researchers have pursued the universal quantum computer, a device that could solve any computational problem, with varying degrees of success. Now, a team in California and Spain has made an experimental prototype of such a device that can solve a wide range of problems in fields such as chemistry and physics, and has the potential to be scaled up to larger systems. Both IBM and a Canadian company called D-Wave have created functioning quantum computers using different approaches. But their devices are not easily scalable to the many quantum bits (qubits) needed for solving ...

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How Lawrence Livermore Is Facing Exascale Power Demands

When considering the challenges of exascale computing, power is right at the top of the list and the major leadership-class centers want to make sure they’re doing everything they can to manage the demands of power today – which can run as high as 10 MW at peak for the largest machines – and in the coming exascale era, when the number could be three times that high. At loads of this magnitude, the largest HPC facilities need to have all the relevant power data within arm’s reach. Managing power demands is a priority at Lawrence Livermore National Laboratory (LLNL), the Department ...

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