Thomas Schulthess presented this talk at the MVAPICH User Group. “Implementation of exascale computing will be different in that application performance is supposed to play a central role in determining the system performance, rather than just considering floating point performance of the high-performance Linpack benchmark. This immediately raises the question as to what the yardstick will be, by which we measure progress towards exascale computing. I will discuss what type of performance improvements will be needed to reach kilometer-scale global climate and weather simulations. This challenge will probably require more than exascale performance.”
Coming in the second half of 2016: The HPE Apollo 6500 System provides the tools and the confidence to deliver high performance computing (HPC) innovation. The system consists of three key elements: The HPE ProLiant XL270 Gen9 Server tray, the HPE Apollo 6500 Chassis, and the HPE Apollo 6000 Power Shelf. Although final configurations and performance are not yet available, the system appears capable of delivering over 40 teraflop/s double precision, and significantly more in single or half precision modes.
“Clear trends in the past and current petascale systems (i.e., Jaguar and Titan) and the new generation of systems that will transition us toward exascale (i.e., Aurora and Summit) outline how concurrency and peak performance are growing dramatically, however, I/O bandwidth remains stagnant. In this talk, we explore challenges when dealing with I/O-ignorant high performance computing systems and opportunities for integrating I/O awareness in these systems.”
In this video from the 2016 Blue Waters Symposium, GPU Performance Nuggets – Carl Pearson and Simon Garcia De Gonzalo from the University of Illinois present: GPU Performance Nuggets. “In this talk, we introduce a pair of Nvidia performance tools available on Blue Waters. We discuss what the GPU memory hierarchy provides for your application. We then present a case study that explores if memory hierarchy optimization can go too far.”
Today the OpenPOWER Foundation announced that their inaugural OpenPOWER Summit Europe will take place Oct. 26-28 in Barcelona, Spain. Held in conjunction with OpenStack Europe, the OpenPOWER Summit Europe, the event will feature speakers and demonstrations from the OpenPOWER ecosystem, including industry leaders and academia sharing their technical solutions and state of the art advancements.
Wen-mei Hwu from the University of Illinois at Urbana-Champaign presented this talk at the Blue Waters Symposium. “In the 21st Century, we are able to understand, design, and create what we can compute. Computational models are allowing us to see even farther, going back and forth in time, learn better, test hypothesis that cannot be verified any other way, and create safe artificial processes.”
Today IBM announced the opening of the first OpenPOWER Research Facility (OPRF) at the Indian Institute of Technology Bombay. The OPRF will help drive the country’s National Knowledge Network initiative to interconnect all institutions of higher learning and research with a high-speed data communication network, facilitating knowledge sharing and collaborative research and innovation. “Open collaboration is driving the next wave of innovation across the entire system stack, allowing clients and organizations to develop customized solutions to capitalize on today’s emerging workloads,’ said Monica Aggarwal, Vice President, India Systems Development Lab (ISDL), IBM Systems. “The OPRF will enable Indian companies, universities and government organizations to build technologies indigenously using the high-performance POWER processor, helping to drive the national IT agenda of India,” she added.
This week Nvidia CEO Jen-Hsun Huang hand-delivered one of the company’s new DGX-1 Machine Learning supercomputers to the OpenAI non-profit in San Francisco. “The DGX-1 is a huge advance,” OpenAI Research Scientist Ilya Sutskever said. “It will allow us to explore problems that were completely unexplored before, and it will allow us to achieve levels of performance that weren’t achievable.”
Altair’s new Data Center GPU Management Tool is now available to Nvidia HPC Customers. With the wide adoption of Graphics Processing Units, customers are addressing vital work in fields including artificial intelligence, deep learning, self-driving cars, and virtual reality now have the ability to improve the speed and reliability of their computations through a new technology collaboration with Altair to integrate PBS Professional.
“Few fields are moving faster right now than deep learning,” writes Buck. “Today’s neural networks are 6x deeper and more powerful than just a few years ago. There are new techniques in multi-GPU scaling that offer even faster training performance. In addition, our architecture and software have improved neural network training time by over 10x in a year by moving from Kepler to Maxwell to today’s latest Pascal-based systems, like the DGX-1 with eight Tesla P100 GPUs. So it’s understandable that newcomers to the field may not be aware of all the developments that have been taking place in both hardware and software.”