In this video from the 4th Annual MVAPICH User Group, DK Panda from Ohio State University presents: Overview of the MVAPICH Project and Future Roadmap. “This talk will provide an overview of the MVAPICH project (past, present and future). Future roadmap and features for upcoming releases of the MVAPICH2 software family (including MVAPICH2-X, MVAPICH2-GDR, MVAPICH2-Virt, MVAPICH2-EA and MVAPICH2-MIC) will be presented. Current status and future plans for OSU INAM, OEMT and OMB will also be presented.”
“Clear trends in the past and current petascale systems (i.e., Jaguar and Titan) and the new generation of systems that will transition us toward exascale (i.e., Aurora and Summit) outline how concurrency and peak performance are growing dramatically, however, I/O bandwidth remains stagnant. In this talk, we explore challenges when dealing with I/O-ignorant high performance computing systems and opportunities for integrating I/O awareness in these systems.”
Today Avere Systems and Cycle Computing announced a technology integration that enables hybrid high-performance computing (HPC) in popular public cloud computing environments. By integrating the Avere vFXT Edge filer cloud bursting technology with Cycle Computing’s CycleCloud offering, users are now able to launch an Avere tiered file system on demand linked directly with the CycleCloud managed scalable compute nodes through cloud providers like AWS, Google Cloud Platform and Microsoft Azure.
In this video from the 2016 Blue Waters Symposium, GPU Performance Nuggets – Carl Pearson and Simon Garcia De Gonzalo from the University of Illinois present: GPU Performance Nuggets. “In this talk, we introduce a pair of Nvidia performance tools available on Blue Waters. We discuss what the GPU memory hierarchy provides for your application. We then present a case study that explores if memory hierarchy optimization can go too far.”
In this video, ORNL researchers use supercomputers to simulate nanomanufacturing, the process of building microscopic devices atom by atom. Simulated here is the construction of a 250-nanometer 3-D cube by focused electron beam induced deposition.
Wen-mei Hwu from the University of Illinois at Urbana-Champaign presented this talk at the Blue Waters Symposium. “In the 21st Century, we are able to understand, design, and create what we can compute. Computational models are allowing us to see even farther, going back and forth in time, learn better, test hypothesis that cannot be verified any other way, and create safe artificial processes.”
This week Nvidia CEO Jen-Hsun Huang hand-delivered one of the company’s new DGX-1 Machine Learning supercomputers to the OpenAI non-profit in San Francisco. “The DGX-1 is a huge advance,” OpenAI Research Scientist Ilya Sutskever said. “It will allow us to explore problems that were completely unexplored before, and it will allow us to achieve levels of performance that weren’t achievable.”
Norbert Eicker from the Jülich Supercomputing Centre presented this talk at the SAI Computing Conference in London. “The ultimate goal is to reduce the burden on the application developers. To this end DEEP/-ER provides a well-accustomed programming environment that saves application developers from some of the tedious and often costly code modernization work. Confining this work to code-annotation as proposed by DEEP/-ER is a major advancement.”
In this video from the 2016 Intel Developer Forum, Diane Bryant describes the company’s efforts to advance Machine Learning and Artificial Intelligence. Along the way, she offers a sneak peak at the Knights Mill processor, the next generation of Intel Xeon Phi slated for release sometime in 2017. “Now you can scale your machine learning and deep learning applications quickly – and gain insights more efficiently – with your existing hardware infrastructure. Popular open frameworks newly optimized for Intel, together with our advanced math libraries, make Intel Architecture-based platforms a smart choice for these projects.”
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.”