“From new cloud offerings on AWS and Azure, to Summit and Sierra, the 150+ PF supercomputers being built by the US in 2017, new AI workloads are driving the rapid growth of GPU accelerated HPC systems. For years, HPC simulations have generated ever increasing amounts of big data, a trend further accelerated by GPU computing. With GPU Deep Learning and other AI approaches, a larger amount of big data than ever can now be used to advance scientific discovery.”
The Xinhua news agency reports that China is planning to develop a prototype exascale supercomputer by the end of 2017. “A complete computing system of the exascale supercomputer and its applications can only be expected in 2020, and will be 200 times more powerful than the country’s first petaflop computer Tianhe-1, recognized as the world’s fastest in 2010,” said Zhang Ting, application engineer with the Tianjin-based National Supercomputer Center, when attending the sixth session of the 16th Tianjin Municipal People’s Congress Tuesday.
“This is an exciting time in high performance computing,” said Prof Simon McIntosh-Smith, leader of the project and Professor of High Performance Computing at the University of Bristol. “Scientists have a growing choice of potential computer architectures to choose from, including new 64-bit ARM CPUs, graphics processors, and many-core CPUs from Intel. Choosing the best architecture for an application can be a difficult task, so the new Isambard GW4 Tier 2 HPC service aims to provide access to a wide range of the most promising emerging architectures, all using the same software stack.”
In this video, Prof. Dr.-Ing. André Brinkmann from the JGU datacenter describes the Mogon II cluster, a 580 Teraflop system currently ranked #265 on the TOP500. “Built by MEGWARE in Germany, the Mogon II system consists of 814 individual nodes each equipped with 2 Intel 2630v4 CPUs and connected via OmniPath 50Gbits (fat-tree). Each CPU has 10 cores, giving a total of 16280 cores.”
“As a bridge to that future, this two-week program fills many gaps that exist in the training computational scientists typically receive through formal education or shorter courses. The 2017 ATPESC program will be held at a new location from previous years, at the Q Center, one of the largest conference facilities in the Midwest, located just outside Chicago.”
Today the Mont-Blanc European project announced it has selected Cavium’s ThunderX2 ARM server processor to power its new HPC prototype. The new Mont-Blanc prototype will be built by Atos, the coordinator of phase 3 of Mont-Blanc, using its Bull expertise and products. The platform will leverage the infrastructure of the Bull sequana pre-exascale supercomputer range for network, management, cooling, and power. Atos and Cavium signed an agreement to collaborate to develop this new platform, thus making Mont-Blanc an Alpha-site for ThunderX2.
In this podcast, the Radio Free HPC team looks at D-Wave’s new open source software for quantum computing. The software is available on github along with a whitepaper written by Cray Research alums Mike Booth and Steve Reinhardt. “The new tool, qbsolv, enables developers to build higher-level tools and applications leveraging the quantum computing power of systems provided by D-Wave, without the need to understand the complex physics of quantum computers.”
In this visualization, ocean temperatures and salinity are tracked over the course of a year. Based on data from global climate models, these visualizations aid our understanding of the physical processes that create the Earth’s climate, and inform predictions about future changes in climate. “The water’s saltiness, or salinity, plays a significant role in this ocean heat engine, Harrison said. Salt makes the water denser, helping it to sink. As the atmosphere warms due to global climate change, melting ice sheets have the potential to release tremendous amounts of fresh water into the oceans.”
“The University of Colorado, Boulder supports researchers’ large-scale computational needs with their newly optimized high performance computing system, Summit. Summit is designed with advanced computation, network, and storage architectures to deliver accelerated results for a large range of HPC and big data applications. Summit is built on Dell EMC PowerEdge Servers, Intel Omni-Path Architecture Fabric and Intel Xeon Phi Knights Landing processors.”
“STFC Hartree Centre needed a powerful, flexible server system that could drive research in energy efficiency as well as economic impact for its clients. By extending its System x platform with NeXtScale System, Hartree Centre can now move to exascale computing, support sustainable energy use and help its clients gain a competitive advantage.” Sophisticated data processes are now integral to all areas of research and business. Whether you are new to discovering the potential of supercomputing, data analytics and cognitive techniques, or are already using them, Hartree’s easy to use portfolio of advanced computing facilities, software tools and know-how can help you create better research outcomes that are also faster and cheaper than traditional research methods.