Today system integrator Nor-Tech disclosed that the company is working closely with some of the world’s top researchers and innovators to develop, build, deploy and support simulation clusters. “This has been an extremely exciting year for us that has allowed us to collaborate on innovations that promise to be groundbreaking and also discoveries that are changing the way we look at the universe,” said Nor-Tech President and CEO David Bollig.
In this video from ISC 2016 in Frankfurt, Gilad Shainer from the HPC Advisory Council hosts the Student Cluster Awards Ceremony. “The overall winning team this year was from CHPC in South Africa. As repeat winners, CHPC is establishing a bit of dynasty in this competition that is really fun to watch.”
Over at NICS, Scott Gibson writes that researchers are using XSEDE supercomputing resources to simulate the gaseous outflows from black holes known as astrophysical jets. “These jets can affect galaxy formation and evolution by, for example, heating up the surroundings and suppressing star formation, expelling the surrounding gas and thereby reducing the mass supply to the black hole.”
The PRACE Council in Europe has elected Prof Dr Ir Anwar Osseyran of SURF/SURFsara as Chair and Dr Sergi Girona of BSC was elected Vice-Chair. PRACE – the Partnership for Advanced Computing in Europe – counts 25 European Members States and Associated Countries as its members. PRACE aims to facilitate excellent research and science in academia […]
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In this video from ISC 2016, Bob Wisniewski from Intel provides an update on OpenHPC community activities. “OpenHPC is a collaborative, community effort that initiated from a desire to aggregate a number of common ingredients required to deploy and manage High Performance Computing (HPC) Linux clusters including provisioning tools, resource management, I/O clients, development tools, and a variety of scientific libraries. Packages provided by OpenHPC have been pre-built with HPC integration in mind with a goal to provide re-usable building blocks for the HPC community. Over time, the community also plans to identify and develop abstraction interfaces between key components to further enhance modularity and interchangeability.”
In this video from ISC 2016, Steve Conway from IDC recaps the event. “Attended by over 3,000 individuals, ISC is a not-to-miss event for the high performance computing community. It offers a strong five-day technical program focusing on HPC technological development and its application in scientific fields, as well as its adoption in commercial environments. ISC High Performance is open to engineers, IT specialists, system developers, vendors, scientists, researchers, students, journalists, and other members of the HPC global community.”
Today DDN announced it has increased its leadership as the dominant storage provider of the world’s fastest supercomputers for the eighth consecutive year with storage solutions that power more than 70 percent of identifiable sites on the most recent TOP500 list. To learn more, we caught up with the company’s Chief Marketing Officer, Molly Rector. “We’ve led the TOP500 list for eight consecutive years and continue to increase our leadership margin – most recently boosting our presence to an unprecedented 70% of the identifiable largest supercomputing sites worldwide.”
“Intel provided a wealth of machine learning announcements following the Intel Xeon Phi processor (formerly known as Knights Landing) announcement at ISC’16. Building upon the various technologies in Intel Scalable System Framework, the machine learning community can expect up to 38% better scaling over GPU-accelerated machine learning and an up to 50x speedup when using 128 Intel Xeon Phi nodes compared to a single Intel Xeon Phi node. The company also announced an up to 30x improvement in inference performance (also known as scoring or prediction) on the Intel Xeon E5 product family due to an optimized Intel Caffe plus Intel Math Kernel Library (Intel® MKL) package.”
The University of Tokyo has chosen SGI to perform advanced data analysis and simulation within its Information Technology Center. The center is one of Japan’s major research and educational institutions for building, applying, and utilizing large computer systems. The new SGI system will begin operation July 1, 2016. “The SGI integrated supercomputer system for data analysis and simulation will support the needs of scientists in new fields such as genome analysis and deep learning in addition to scientists in traditional areas of computational science,” said Professor Hiroshi Nakamura, director of Information Technology Center, the University of Tokyo. “The new system will further ongoing research and contribute to the development of new academic fields that combine data analysis and computational science.”