In this Nvidia podcast, Bryan Catanzaro from Baidu describes how machines with Deep Learning capabilities are now better at recognizing objects in images than humans. “AI gets better and better until it kind of disappears into the background,” says Catanzaro — NVIDIA’s head of applied deep learning research — in conversation with host Michael Copeland on this week’s edition of the new AI Podcast. “Once you stop noticing that it’s there because it works so well — that’s when it’s really landed.”
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.”
Accelerated computing continues to gain momentum as the HPC community moves towards Exascale. Our recent Tesla P100 GPU review shows how these accelerators are opening up new worlds of performance vs. traditional CPU-based systems and even vs. NVIDIA’s previous K80 GPU product. We’ve got benchmarks, case studies, and more in the insideHPC Research Report on GPU Accelerators.
In this special guest feature, SC17 General Chair Bernd Mohr write that the conference will focus on making connections. “We are very confident, that SC17 will once again be THE gathering of scientists, engineers, researchers, educators, programmers, system administrators and developers that is unequaled in the world—for an exceptional program of technical presentations, papers, workshops, informative tutorials, timely research posters and Birds-of-a-Feather (BoF) sessions, all connected by a world-class exhibition.”
“The HPC Community demands performance, transparency, and value—exactly what Red Hat and open source offer. Red Hat is the standard choice for Linux in HPC clusterers worldwide. But it doesn’t stop there–our cloud, virtualization, storage, platform and service-oriented solutions bring real freedom and collaboration to federal, state, local, and academic programs. And Red Hat’s worldwide support, training and consulting services bring the power of open source to your agency. We are a part of a larger community working together to drive innovation.”
“In the long run, if you need orders of magnitude more bandwidth than is currently available there’s a set of technologies that are sometimes referred to as processor in memory – I call it processor at memory – technologies that involves cheaper processors distributed out to adjacent to the memory chips. Processors are cheaper, simpler, lower power. That could allow a significant reduction in cost to build the systems, which allows you to build them a lot bigger and therefore deliver significantly higher memory bandwidth. That’s a very revolutionary change.”
In this video from SC16, Joe Yaworsky describes how Intel Omni Path is gaining traction on the TOP500. As the interconnect for the Intel Scalable System Framework, Omni-Path is focused on delivering the best possible application performance. “In the nine months since Intel Omni-Path Architecture (Intel OPA) began shipping, it has become the standard fabric for 100 gigabit systems. Intel OPA is featured in 28 of the top 500 most powerful supercomputers in the world announced at Supercomputing 2016 and now has 66 percent of the 100Gb market. Top500 designs include Oakforest-PACS, MIT Lincoln Lab and CINECA.”
In this video from SC16, Steve Conway from IDC moderates a panel discussion on Precision Medicine. “Recently, DOE Secretary Moniz, VA Secretary MacDonald, NCI Director Lowy and the GSK CEO Andrew Witty announced that the Nation’s leading supercomputers would be applied to the challenge of the Cancer Moonshot initiative. This partnership of nontraditional groups, collectively see the path to unraveling the complexities of cancer through the power of new machines, operating systems, and applications that leverage simulations, data science and artificial intelligence to accelerate bringing precision oncology to the patients that are waiting. This initiative is one of many research efforts in the race to solve some of our most challenging medical problems.”
As an HPC technology vendor, Mellanox is in the business of providing the leading-edge interconnects that drive many of the world’s fastest supercomputers. To learn more about what’s new for SC16, we caught up with Michael Kagan, CTO of Mellanox. “Moving InfiniBand beyond EDR to HDR is critical not only for HPC, but also for the numerous industries that are adopting AI and Big Data to make real business sense out the amount of data available and that we continue to collect on a daily basis.”
OpenACC is a directive based programming model that gives C/C++ and Fortran programmers the ability to write parallel programs simply by augmenting their code with pragmas. Pragmas are advisory messages that expose optimization, parallelization, and accelerator offload opportunities to the compiler so it can generate efficient parallel code for a variety of different target architectures including AMD and NVIDIA GPUs plus ARM, x86, Intel Xeon Phi, and IBM POWER processors.