Two University of Wyoming graduate students earned a trip to the SC16 conference in November by virtue of winning the poster contest at the recent Rocky Mountain Advanced Computing Consortium (RMACC) High Performance Computing Symposium. “I hope to receive good exposure to the most recent advancements in the field of high-performance computing,” Kommera says.
“This tutorial, part of the SC16 State of the Practice, will guide attendees through the process of purchasing and deploying a HPC system. It will cover the whole process from engaging with stakeholders in securing funding, requirements capture, market survey, specification of the tender/request for proposal documents, engaging with suppliers, evaluating proposals, and managing the installation. Attendees will learn how to specify what they want, yet enable the suppliers to provide innovative solutions beyond their specification both in technology and in the price; how to demonstrate to stakeholders that the solution selected is best value for money; and the common risks, pitfalls and mitigation strategies essential to achieve an on-time and on-quality installation process.”
Registration is now open for the Dell HPC Community event at SC16. The event takes place Nov. 12 at the Radisson Hotel in Salt Lake City. “The Dell HPC Community events feature keynote presentations by HPC experts and working group sessions to discuss best practices in the use of Dell HPC Systems.”
“We are still in the first minutes of the first day of the Intelligence revolution. In this keynote, Dr. Joseph Sirosh will present 5 solutions (and their implementations) that the intelligent cloud delivers. Sirosh shares five cloud AI patterns that his team and presented at the Summit. These five patterns are really about ways to bring data and learning together in cloud services, to infuse intelligence.”
Sure, your code seems fast, but how do you know if you are leaving potential performance on the table? Recognized HPC experts Georg Hager and Gerhard Wellein will teach a tutorial on Node-Level Performance Engineering at SC16. The session will take place 8:30-5:00pm on Sunday, Nov. 13 in Salt Lake City.
In this video from the 2016 Argonne Training Program on Extreme-Scale Computing, Mark Miller from LLNL leads a panel discussion on Experiences in eXtreme Scale in HPC with FASTMATH team members. “The FASTMath SciDAC Institute is developing and deploying scalable mathematical algorithms and software tools for reliable simulation of complex physical phenomena and collaborating with U.S. Department of Energy (DOE) domain scientists to ensure the usefulness and applicability of our work. The focus of our work is strongly driven by the requirements of DOE application scientists who work extensively with mesh-based, continuum-level models or particle-based techniques.”
Men still outnumber women in STEM training and employment, and engineering leaders are working to bring awareness to that diversity gap and the opportunities it presents. SC16 is calling upon all organizations to look at the diversity landscape and publish that data. “Of course, we are supporting programs that empower more girls to study and pursue STEM degrees and careers. Getting more girls through the educational and training pipeline is a great first step, but it’s just the beginning.”
SC16 will continue its HPC Matters Plenary session series this year with a panel discussion on HPC and Precision Medicine. The event will take place at 5:30 pm on Monday, Nov 14 just prior to the exhibits opening gala. “The success of all of these research programs hinge on harnessing the power of HPC to analyze volumes of complex genomics and other biological datasets that simply can’t be processed by humans alone. The challenge for our community will be to develop the computing tools and services needed to transform how we think about disease and bring us closer to the precision medicine future.”
Nikos Trikoupis from the City University of New York gave this talk at the HPC User Forum in Austin. “We focus on measuring the aggregate throughput delivered by 12 Intel SSD DC P3700 for NVMe cards installed on the SGI UV 300 scale-up system in the CUNY High Performance Computing Center. We establish a performance baseline for a single SSD. The 12 SSDs are assembled into a single RAID-0 volume using Linux Software RAID and the XVM Volume Manager. The aggregate read and write throughput is measured against different configurations that include the XFS and the GPFS file systems.”
Today Nvidia announced the general availability of CUDA 8 toolkit for GPU developers. “A crucial goal for CUDA 8 is to provide support for the powerful new Pascal architecture, the first incarnation of which was launched at GTC 2016: Tesla P100,” said Nvidia’s Mark Harris in a blog post. “One of NVIDIA’s goals is to support CUDA across the entire NVIDIA platform, so CUDA 8 supports all new Pascal GPUs, including Tesla P100, P40, and P4, as well as NVIDIA Titan X, and Pascal-based GeForce, Quadro, and DrivePX GPUs.”