Los Alamos National Laboratory has donated a decommissioned supercomputer to the University of New Mexico Center for Advanced Research Computing. The machine was acquired through the NSF-sponsored PR0bE project, which is run by the New Mexico Consortium.
On Thursday, the U.S.-China Economic & Security Review Commission (USCC) held a hearing on the current and potential future state of supercomputing innovation worldwide, with an emphasis on China’s position on the global stage relative to the USA. Addison Snell from Intersect360 Research provided this testimony in answer to USCC’s questions for the hearing.
Today D-Wave Systems announced that Google, NASA, and Universities Space Research Association (USRA) have elected to upgrade to the new D-Wave 2000Q system. The upgraded system will support research on how quantum computing can be applied to artificial intelligence, machine learning, and difficult optimization problems. The new system will be the third generation of D-Wave technology installed at Ames,” said D-Wave CEO Vern Brownell. “We are pleased that Google, NASA, and USRA value the increased performance embodied in our latest generation of technology, the D-Wave 2000Q system, for their critical applications.”
Altair will host the PBS Works User Group May 22-25 in Las Vegas. This four-day event (including 2 days of user presentations, round table discussions and surrounded by hands-on workshops) is the global user event of the year for PBS Professional and other PBS Works products. “This year we are excited to announce that we will be hosting a tour of the Switch data center facility on Tuesday afternoon.”
Today ISC 2017 announced a day-long Deep Learning track on June 21 as part of its technical program. The full conference takes place June 18-21 in Frankfurt, Germany. “The overwhelming success of deep learning has triggered a race to build larger artificial neural networks, using growing amounts of training data in order to allow computers to take on more complex tasks. Such work will challenge the computational feasibility of deep learning of this magnitude, requiring massive data throughput and compute power. Hence, implementing deep learning at scale has become an emerging topic for the high performance computing community.”
Today D-Wave Systems and Virginia Tech announced a joint effort to provide greater access to quantum computers for researchers from the Intelligence Community and Department of Defense. D-Wave and Virginia Tech will work towards the creation of a permanent quantum computing center to house a D-Wave system at the Hume Center for National Security and Technology. “Both D-Wave and Virginia Tech recognize how vital it is that quantum computing be accessible to a broad community of experts focused on solving real-world problems,” said Bo Ewald, president of D-Wave International. “One of the many reasons we chose to work with Virginia Tech is their strong relationships with the intelligence and defense communities. A key area of focus will be to work with federal agencies towards the creation of a quantum computing center at the Hume Center.”
“DDN’s unique ability to handle tough application I/O profiles at speed and scale gives weather and climate organizations the infrastructure they need for rapid, high-fidelity modeling,” said Laura Shepard, senior director of product marketing, DDN. “These capabilities are essential to DDN’s growing base of weather and climate organizations, which are at the forefront of scientific research and advancements – from whole climate atmospheric and oceanic modeling to hurricane and severe weather emergency preparedness to the use of revolutionary, new, high-resolution satellite imagery in weather forecasting.”
The Data Science with Spark Workshop addresses high-level parallelization for data analytics workloads using the Apache Spark framework. Participants will learn how to prototype with Spark and how to exploit large HPC machines like the Piz Daint CSCS flagship system.
“Back in 2013 I wrote the following blog expressing my opinion that I doubted we would reach Exascale before 2020. However, recently it was announced that the world’s first Exascale supercomputer prototype will be ready by the end of 2017 (recently pushed back to early 2018), created by the Chinese. I did some digging and wanted to share my thoughts on the news.”
Today the integrated Rule-Oriented Data System (iRODS) Consortium announced that Intel Corporation has joined their membership-based foundation. “As a consortium member, Intel plans to improve integration between iRODS, the free open source software for data virtualization, data discovery, workflow automation, and secure collaboration, and Lustre, an open source parallel distributed file system used for computing on large-scale high performance computing clusters. Membership in the consortium is a first step in offering an integrated tiered solution to Lustre end-users that allows them to easily move data sets from HPC systems into less costly long-term storage systems, where the data can be managed, shared and kept secure using iRODS.”