Registration is now open for HP-CAST at SC16. The event takes place Nov. 11-12 in Salt Lake City.
Today D-Wave Systems announced details of its most advanced quantum computing system, featuring a new 2000-qubit processor. The announcement is being made at the company’s inaugural users group conference in Santa Fe, New Mexico. The new processor doubles the number of qubits over the previous generation D-Wave 2X system, enabling larger problems to be solved and extending D-Wave’s significant lead over all quantum computing competitors. The new system also introduces control features that allow users to tune the quantum computational process to solve problems faster and find more diverse solutions when they exist. In early tests these new features have yielded performance improvements of up to 1000 times over the D-Wave 2X system.
“Starting in 2015, Oak Ridge National Laboratory partnered with the University of Tennessee to offer a minor-degree program in data center technology and management, one of the first offerings of its kind in the country. ORNL staff members developed the senior-level course in collaboration with UT College of Engineering professor Mark Dean after an ORNL strategic partner identified a need for employees who could bridge both the facilities and operational aspects of running a data center. In addition to developing the course curriculum, ORNL staff members are also serving as guest lecturers.”
Oak Ridge National Lab is hosting a 3-day GPU Mini-hackathon led by experts from the OLCF and Nvidia. The event takes place Nov. 1-3 in Knoxville, Tennessee. “General-purpose Graphics Processing Units (GPGPUs) potentially offer exceptionally high memory bandwidth and performance for a wide range of applications. The challenge in utilizing such accelerators has been the difficulty in programming them. This event will introduce you to GPU programming techniques.”
In this podcast, the Radio Free HPC team discuss Henry Newman’s recent editorial calling for a self-descriptive data format that will stand the test of time. Henry contends that we seem headed for massive data loss unless we act.
Maria Chan from NST presented this talk at Argonne Out Loud. “People eagerly anticipate environmental benefits from advances in clean energy technologies, such as advanced batteries for electric cars and thin-film solar cells. Optimizing these technologies for peak performance requires an atomic-level understanding of the designer materials used to make them. But how is that achieved? Maria Chan will explain how computer modeling is used to investigate and even predict how materials behave and change, and how researchers use this information to help improve the materials’ performance. She will also discuss the open questions, challenges, and future strategies for using computation to advance energy materials.”
The DDN User Group meeting is returning to Salt Lake City for SC16. The meeting takes place Monday, Nov. 14 from 2pm-6pm at the Radisson Hotel near the convention center.
Larry Smarr presented this talk as part of NCSA’s 30th Anniversary Celebration. “For the last thirty years, NCSA has played a critical role in bringing computational science and scientific visualization to the national user community. I will embed those three decades in the 50 year period 1975 to 2025, beginning with my solving Einstein’s equations for colliding black holes on the megaFLOPs CDC 6600 and ending with the exascale supercomputer. This 50 years spans a period in which we will have seen a one trillion-fold increase in supercomputer speed.”
In this this video from ISC 2016, Tim Carroll describes how Cycle Computing is working with Dell Technologies to deliver more science for more users. Cycle Computing’s CycleCloud software suite is the leading cloud orchestration, provisioning, and data management platform for Big Compute, Big Data, and large technical computing applications running on any public, private, or internal environment.
In this video from GTC 2016 in Taiwan, Nvidia CEO Jen-Hsun Huang unveils technology that will accelerate the deep learning revolution that is sweeping across industries. “AI computing will let us create machines that can learn and behave as humans do. It’s the reason why we believe this is the beginning of the age of AI.”