Today the DOE Exascale Computing Project announced the following changes to their strategic plan. The ECP project now plans to deploy the first Exascale system in the U.S. in 2021, a full 1-2 years earlier than previously planned. This system will be built from a “novel architecture” that will be put out for bid in the near future. According to Argonne’s Paul Messina, Director, Exascale Computing Project, “It won’t be something out there like quantum computing, but we are looking for new ideas in terms of processing and networking technologies for the machine.”
The Supercomputing Frontiers 2017 conference in Singapore has issued its Call for Papers. As Singapore’s annual international HPC conference, Supercomputing Frontiers provides a platform for thought leaders from both academia and industry to interact and discuss visionary ideas, important global trends and substantial innovations in supercomputing. The event takes place March 13-16, 2017.
In this video from SC16, Don Clegg from Supermicro describes the company’s broad range of HPC solutions. “Innovation is at the core of Supermicro product development and benefits the HPC community with first-to-market integration of advanced technology such as our 1U with four and 4U with eight Pascal P100 SXM2 GPUs or 4U with ten PCI-e GPU systems, hot-swap U.2 NVMe, upcoming fabric technologies like Red Rock Canyon and PCI-E switches, as well as new architecture designs like our new high-density BigTwin system design.”
Today the PASC17 Conference announced that Matthias Troyer from Microsoft Research will give this year’s public lecture on the topic “Towards Quantum High Performance Computing.” The event will take place June 26-28 in Lugano, Switzerland.
Prof. Taisuke Boku from the University of Tsukuba & JCAHPC presented this talk at the DDN User Group at SC16. “Thanks to DDN’s IME Burst Buffer, researchers using Oakforest-PACS at the Joint Center for Advanced High Performance Computing (JCAHPC) are able to improve modeling of fundamental physical systems and advance understanding of requirements for Exascale-level systems architectures. With DDN’s advanced technology, JCAHPC has achieved effective I/O performance exceeding 1TB/s in writing tens of thousands of processes to the same file.”
Today Cray announced the results of a deep learning collaboration with Microsoft CSCS designed to expand the horizons of running deep learning algorithms at scale using the power of Cray supercomputers. “Cray’s proficiency in performance analysis and profiling, combined with the unique architecture of the XC systems, allowed us to bring deep learning problems to our Piz Daint system and scale them in a way that nobody else has,” said Prof. Dr. Thomas C. Schulthess, director of the Swiss National Supercomputing Centre (CSCS). “What is most exciting is that our researchers and scientists will now be able to use our existing Cray XC supercomputer to take on a new class of deep learning problems that were previously infeasible.”
“Individual institutions or organizations will have opportunities to deploy storage locally and can federate their local repository into the national system,” says Dr. Greg Newby, Compute Canada’s Chief Technology Officer. “This provides enhanced privacy and sharing capabilities on a robust, country-wide solution with improved data security and back-up. This is a great solution to address the data explosion we are currently experiencing in Canada and globally.”
“With up to eight high performance NVIDIA GPUs designed for maximum transfer bandwidth, the HPE Apollo 6500 is purpose-built for HPC and deep learning applications. Its high ratio of GPUs to CPUs, dense 4U form factor and efficient design enable organizations to run deep learning recommendation algorithms faster and more efficiently, significantly reducing model training time and accelerating the delivery of real-time results, all while controlling costs.”
Using a unique computational approach to rapidly sample proteins in their natural state of gyrating, bobbing, and weaving, a research team from UC San Diego and Monash University in Australia has identified promising drug leads that may selectively combat heart disease, from arrhythmias to cardiac failure.
In this podcast, the Radio Free HPC team reviews the results from SC16 Student Cluster Competition. “This year, the advent of clusters with the new Nvidia Tesla P100 GPUs made a huge impact, nearly tripling the Linpack record for the competition. For the first-time ever, the team that won top honors also won the award for achieving highest performance for the Linpack benchmark application. The team “SwanGeese” is from the University of Science and Technology of China. In traditional Chinese culture, the rare Swan Goose stands for teamwork, perseverance and bravery.”