Today, the OpenPOWER Foundation announced the lineup of speakers for the OpenPOWER Summit 2016, taking place April 5-8 at NVIDIA’s GPU Technology Conference (GTC) at the San Jose Convention Center. The Summit will bring together dozens of technology leaders from the OpenPOWER Foundation to showcase the latest advancements in the OpenPOWER ecosystem, including collaborative hardware, software and application developments – all designed to revolutionize the data center.
“It was indicated in my keynote this morning there are two really fundamental challenges we’re facing in the next two years in all sorts of computing – from supercomputers to cell phones. The first is that of energy efficiency. With the end of Dennard scaling, we’re no longer getting a big improvement in performance per watt from each technology generation. The performance improvement has dropped from a factor of 2.8 x back when we used to scale supply voltage with each new generation, now to about 1.3 x in the post-Dennard era. With this comes a real challenge for us to come up with architecture techniques and circuit techniques for better performance per watt.”
Today AliCloud signed a strategic partnership with Nvidia to provide the first GPU-based cloud HPC platform in China. The partnership also plans to provide emerging companies support in areas of HPC and deep learning with comprehensive GPU (Graphics Processing Unit) computing. “Innovative companies in deep learning are one of our most important user communities,” said Zhang Wensong, chief scientist of AliCloud. “Together with Nvidia, AliCloud will use its strength in public cloud computing and experiences accumulated in HPC to offer emerging companies in deep learning greater support in the future.”
In this video, Ruchir Puri, an IBM Fellow at the IBM Thomas J. Watson Research Center talks about building large-scale big data systems and delivering real-time solutions such as using machine learning to predict drug reactions. “There is a need for systems that provide greater speed to insight — for data and analytics workloads to help businesses and organization make sense of the data, to outthink competitors as we usher in a new era of Cognitive Computing.”
Thomas Schulthess from CSCS presented this talk at the Nvidia booth at SC15. “On October 1, 2015 “Piz Kesch”, a Cray CS-Storm system with NVIDIA K80 GPUs became operational at CSCS on behalf of MeteoSwiss. In this talk, we will discuss the hardware-software co-design project behind this most cost and energy efficient system for numerical weather prediction.”
“To be successful in high-performance computing (HPC) today, it is no longer enough to sell good hardware: vendors need to develop an ‘ecosystem’ in which other hardware companies use their products and components; in which system administrators are familiar with their processors and architectures; and in which developers are trained and eager to write code both for the efficient use of the system and for end-user applications. No one company, not even Intel or IBM, can achieve all of this by itself anymore.”
“Analytics applied over complex, many-to-many data relationships hit the ‘Graph Cache Thrash’ bottleneck and grind to a halt, failing to deliver good performance or to operate at scale,” said Brad Bebee, SYSTAP CEO. “GPU hardware provides a compelling performance increase for data-intensive, predictive analytic applications. With Blazegraph and our new GPU products, users can harness the computing power comparable to what was only available from supercomputers, such as a Cray, at a fraction of the cost.”
“At SC15, IBM, in turn, announced new offerings centered “on the tight integration of IBM’s Power processors with accelerators.” But it was an announcement about IBM’s interest in FPGAs that attracted attention. It has concluded a multi-year strategic collaboration with Xilinx to develop FPGA-enabled workload acceleration on Power-based systems. Through a private commercial agreement as well as by collaboration through the Open Power Foundation, the two companies are teaming up to develop open acceleration infrastructures, software, and middleware.
Buddy Bland from ORNL presented this talk at SC15. “Summit will deliver more than five times the computational performance of Titan’s 18,688 nodes, using only approximately 3,400 nodes. Each Summit node will contain multiple IBM POWER9 CPUs and NVIDIA Volta GPUs all connected together with NVIDIA’s high-speed NVLink and a huge amount of memory.”
In this video from SC15, Bryan Catanzaro, senior researcher in Baidu Research’s Silicon Valley AI Lab describes AI projects at Baidu and how the team uses HPC to scale deep learning. Advancements in High Performance Computing are enabling researchers worldwide to make great progress in AI.