On Thursday, the U.S.-China Economic & Security Review Commission (USCC) held a hearing on the current and potential future state of supercomputing innovation worldwide, with an emphasis on China’s position on the global stage relative to the USA. Addison Snell from Intersect360 Research provided this testimony in answer to USCC’s questions for the hearing.
“2017 will see the introduction of many technologies that will help shape the future of HPC systems. Production-scale ARM supercomputers, advancements in memory and storage technology such as DDN’s Infinite Memory Engine (IME), and much wider adoption of accelerator technologies and from Nvidia, Intel and FPGA manufacturers such as Xilinx and Altera, are all helping to define the supercomputers of tomorrow.”
In this video, Dr. Marcelo Ponce from SciNet presents: Scientific Visualization with Python. “SciNet is Canada’s largest supercomputer centre, providing Canadian researchers with computational resources and expertise necessary to perform their research on scales not previously possible in Canada. We help power work from the biomedical sciences and aerospace engineering to astrophysics and climate science.”
“A new data type called a “posit” is designed for direct drop-in replacement for IEEE Standard 754 floats. Unlike unum arithmetic, posits do not require interval-type mathematics or variable size operands, and they round if an answer is inexact, much the way floats do. However, they provide compelling advantages over floats, including simpler hardware implementation that scales from as few as two-bit operands to thousands of bits. For any bit width, they have a larger dynamic range, higher accuracy, better closure under arithmetic operations, and simpler exception-handling.”
In this video from SC16, Dr. Eng Lim Goh from HPE/SGI discusses new trends in HPC Energy Efficiency and Deep Learning. “SGI’s leadership in data analytics derives from deep expertise in High Performance Computing and over two decades delivering many of the world’s fastest supercomputers. Leveraging this experience and SGI’s innovative shared and distributed memory computing solutions for data analytics enables organizations to achieve greater insight, accelerate innovation, and gain competitive advantage.”
In this video from the HPC Advisory Council Spain Conference, Dan Olds from OrionX discusses the High Performance Interconnect (HPI) market landscape, plus provides ratings and rankings of HPI choices today. “In this talk, we’ll take a look at the technologies and performance of high-end networking technology and the coming battle between onloading vs. offloading interconnect architectures.”
Paul Messina presented this talk at the HPC User Forum in Austin. “The Exascale Computing Project (ECP) is a collaborative effort of the Office of Science (DOE-SC) and the National Nuclear Security Administration (NNSA). As part of President Obama’s National Strategic Computing initiative, ECP was established to develop a new class of high-performance computing systems whose power will be a thousand times more powerful than today’s petaflop machines.”
Achieving better scalability and performance at Exascale will require full data reach. Without this capability, onload architectures force all data to move to the CPU before allowing any analysis. The ability to analyze data everywhere means that every active component in the cluster will contribute to the computing capabilities and boost performance. In effect, the interconnect will become its own “CPU” and provide in-network computing capabilities.
In this video from ISC 2016, Dr. Eng Lim Goh from SGI discusses the latest trends in high performance data analytics and machine learning. “Dr. Eng Lim Goh joined SGI in 1989, becoming a chief engineer in 1998 and then chief technology officer in 2000. He oversees technical computing programs with the goal to develop the next generation computer architecture for the new many-core era. His current research interest is in the progression from data intensive computing to analytics, machine learning, artificial specific to general intelligence and autonomous systems. Since joining SGI, he has continued his studies in human perception for user interfaces and virtual and augmented reality.”
In this podcast, Shahin Khan from OrionX joins the Radio Free HPC team for a look at the new TOP500 list of the world’s fastest supercomputers. “The 93 Petaflop Sunway TaihuLight supercomputer is not a one-time effort from China. Not only do they now have the two top two supercomputers, China also sponsors the world’s largest state-sponsored Student Cluster Competition with over 170 university teams. The takeaway from today; China is serious about supercomputing, they are in it for the long haul, and they are willing to write the checks to make it happen.”