In this special guest feature, Robert Roe from Scientific Computing World describes why Nvidia is in the driver’s seat for Deep Learning. “Nvidia CEO Jen-Hsun Huang’s theme for the opening keynote was based on “a new computing model.” Huang explained that Nvidia builds computing technologies for the most demanding computer users in the world and that the most demanding applications require GPU acceleration. ‘The computers you need aren’t run of the mill. You need supercharged computing, GPU accelerated computing’ said Huang.”
Bo Ewald from D-Wave Systems presented this talk at the HPC User Forum in Tucson. “D-Wave continues to advance the state-of-the-art of quantum computing at a rapid pace, with a number of impressive application results, and the release of their 1000 qubit D-Wave 2X system is another major milestone in the industry,” said Earl Joseph, IDC program vice president for HPC. “Complementing today’s high performance computing systems, quantum computers will likely become an important tool to solve important problems that can’t be solved today.”
Today D-Wave Systems announced the launch of Quantum for Quants, an online community designed specifically for quantitative analysts and other experts focused on complex problems in finance. Launched at the Global Derivatives Trading & Risk Management conference in Budapest, the online community will allow quantitative finance and quantum computing professionals to share ideas and insights regarding quantum technology and to explore its application to the finance industry. Through this community financial industry experts will also be granted access to quantum computing software tools, simulators, and other resources and expertise to explore the best ways to tackle the most difficult computational problems in finance using entirely new techniques.
In this video from the 2016 MSST Conference, Yoonho Park from IBM presents: Storage Performance Modeling for Future Systems. “The burst buffer is an intermediate, high-speed layer of storage that is positioned between the application and the parallel file system (PFS), absorbing the bulk data produced by the application at a rate a hundred times higher than the PFS, while seamlessly draining the data to the PFS in the background.”
In this podcast, the Radio Free HPC team recaps the ASC16 Student Cluster Competition in China and the 2016 MSST Conference in Santa Clara. Dan spent a week in Wuxi interviewing ASC16 student teams, he came back impressed with the Linpack benchmark tricks from the team at Zhejiang University, who set a new student LINPACK record with 12.03 TFlop/s. Meanwhile, Rich was in Santa Clara for the MSST conference, where he captured two days of talks on Mass Storage Technologies.
In its latest move to build a practical quantum computer, IBM Research for the first time ever is making quantum computing available in the cloud to anyone interested in hands-on access to the company’s advanced experimental quantum system. “The cloud-enabled quantum computing platform, called IBM Quantum Experience, will allow users to run algorithms and experiments on IBM’s quantum processor, work with the individual quantum bits (qubits), and explore tutorials and simulations around what might be possible with quantum computing.”
Today the Information Technology and Innovation Foundation (ITIF) published a new report that urges U.S. policymakers to take decisive steps to ensure the United States continues to be a world leader in high-performance computing. “While America is still the world leader, other nations are gaining on us, so the U.S. cannot afford to rest on its laurels. It is important for policymakers to build on efforts the Obama administration has undertaken to ensure the U.S. does not get out paced.”
Today Cambridge University spin-out Optalysys announced that the company has been awarded a $350k grant for a 13-month project from the US Defense Advanced Research Projects Agency (DARPA). The project will see the company advance their research in developing and applying their optical co-processing technology to solving complex mathematical equations. These equations are relevant to large-scale scientific and engineering simulations such as weather prediction and aerodynamics.
The good folks at the European Network on High Performance and Embedded Architecture and Compilation (HiPEAC) have launched a call for contributions to the 2017 edition of the HiPEAC Vision, which will set out the way forward for computing systems over the next ten years. “Published every two years, HiPEAC’s definitive roadmap provides guidance for policy makers and technologists on key issues in the area of computing systems, such as security, reliability and energy efficiency.”
Today ISC 2016 announced that five renowned experts in computational science will participate in their new Distinguished Speaker series. Topics will include exascale computing efforts in the US, the next supercomputers in development in Japan and China, cognitive computing advancements at IBM, and quantum computing research at NASA.