There is still time to register for the 2016 Hot Interconnects Conference, which takes place August 24-26 at Huawei in Santa Clara, California. The keynote speaker this year is Kiran Makhijan, Senior Research Scientist, Network Technology Labs at the Huawei America Research Center. Her talk is entitled: Cloudcasting – Perspectives on Virtual Routing for Cloud Centric Network Architectures.
In this video, D-Wave Systems Founder Eric Ladizinsky presents: The Coming Quantum Computing Revolution. “Despite the incredible power of today’s supercomputers, there are many complex computing problems that can’t be addressed by conventional systems. Our need to better understand everything, from the universe to our own DNA, leads us to seek new approaches to answer the most difficult questions. While we are only at the beginning of this journey, quantum computing has the potential to help solve some of the most complex technical, commercial, scientific, and national defense problems that organizations face.”
In this video from the 2016 Blue Waters Symposium, Andriy Kot from NCSA presents: Parallel I/O Best Practices.
In this TACC Podcast, Researchers describe how XSEDE supercomputing resources are helping them grow a better soybean through the SoyKB project based from the University of Missouri-Columbia. “The way resequencing is conducted is to chop the genome in many small pieces and see the many, many combinations of small pieces,” said Xu. “The data are huge, millions of fragments mapped to a reference. That’s actually a very time consuming process. Resequencing data analysis takes most of our computing time on XSEDE.”
Today SC16 announced that the conference will feature 38 high-quality workshops to complement the overall Technical Program events, expand the knowledge base of its subject area, and extend its impact by providing greater depth of focus.
Today the U.S. Department of Energy announced that it will invest $16 million over the next four years to accelerate the design of new materials through use of supercomputers. “Our simulations will rely on current petascale and future exascale capabilities at DOE supercomputing centers. To validate the predictions about material behavior, we’ll conduct experiments and use the facilities of the Advanced Photon Source, Spallation Neutron Source and the Nanoscale Science Research Centers.”
“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.”
Today Cycle Computing announced its continued involvement in optimizing research spearheaded by NASA’s Center for Climate Simulation (NCCS) and the University of Minnesota. Currently, a biomass measurement effort is underway in a coast-to-coast band of Sub-Saharan Africa. An over 10 million square kilometer region of Africa’s trees, a swath of acreage bigger than the entirety […]
“In order to address data intensive workloads in need of higher performance for storage, TYAN takes full advantage of Intel NVMe technology to highlight hybrid storage configurations. TYAN server solutions with NVMe support can not only boost storage performance over the PCIe interface but provide storage flexibility for customers through scale-out architecture” said Danny Hsu, Vice President of MiTAC Computing Technology Corporation’s TYAN Business Unit.
LANL reports that a moment of inspiration during a wiring diagram review has saved more than $2 million in material and labor costs for the Trinity supercomputer at Los Alamos National Laboratory.