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Mellanox Brings HDR to SC16 while Dominating Today’s TOP500

“InfiniBand’s advantages of highest performance, scalability and robustness enable users to maximize their data center return on investment. InfiniBand was chosen by far more end-users compared to a proprietary offering, resulting in a more than 85 percent market share. We are happy to see our open Ethernet adapter and switch solutions enable all of the 40G and the first 100G Ethernet systems on the TOP500 list, resulting in overall 194 systems using Mellanox for their compute and storage connectivity.”

Using Machine Learning to Avoid the Unwanted

In this video from the Intel HPC Developer Conference, Justin Gottschlich, PhD from Intel describes how the company doubling down on Anomaly Detection using Machine Learning and Intel technologies. “In this talk, we present future research directions at Intel Labs using deep learning for anomaly detection and management. We discuss the required machine learning characteristics for such systems, ranging from zero positive learning, automatic feature extraction, and real-time reinforcement learning. We also discuss the general applicability of such anomaly detection systems across multiple domains such as data centers, autonomous vehicles, and high performance computing.”

Video: Jen-Hsun Huang Keynote from the Nvidia Booth at SC16

Watch this video of Nvidia CEO Jen-Hsun Huang’s talk from SC16 in Salt Lake City. Can’t make it to the show? Tune in right here on insideHPC to watch Nvidia talks all this week. “See how other leaders in the field are advancing computational science across domains, get free hands-on training with the newest GPU-accelerated solutions, and connect with NVIDIA experts.”

Accelerating Machine Learning on Intel Platforms

In this video from the Intel HPC Developer Conference, Ananth Sankaranarayanan from Intel describes how the company is optimizing Machine Learning frameworks for Intel platforms. Open source frameworks often are not optimized for a particular chip, but bringing Intel’s developer tools to bear can result in significant speedups. For meaningful impact and business value, organizations require that the time to train a deep learning model be reduced from weeks to hours. In this talk, we will present the details of the optimization and characterization of Intel-Caffe and the support of new deep learning convolutional neural network primitives in the Intel Math Kernel Library.”

Fireside Chat: Dr. Eng Lim Goh on New Trends in HPC Energy Efficiency & Deep Learning

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.”

Slidecast: Mellanox Announces 200Gb/s HDR InfiniBand Solutions

In this slidecast, Gilad Shainer from Mellanox announces the world’s first HDR 200Gb/s data center interconnect solutions. “These 200Gb/s HDR InfiniBand solutions maintain Mellanox’s generation-ahead leadership while enabling customers and users to leverage an open, standards-based technology that maximizes application performance and scalability while minimizing overall data center total cost of ownership. Mellanox 200Gb/s HDR solutions will become generally available in 2017.”

Slidecast: How SGI is Meeting Manufacturing’s Need for Production Supercomputing

In this slidecast, Tony DeVarco from SGI describes how the company delivers Production Supercomputing for SMEs. “As the trusted leader in high performance computing, SGI helps companies find answers to the world’s biggest challenges. Our commitment to innovation is unwavering and focused on delivering market leading solutions in Technical Computing, Big Data Analytics, and Petascale Storage. Our solutions provide unmatched performance, scalability and efficiency for a broad range of customers.”

Slidecast: Silicon Mechanics – An Open-Technology Solutions Integrator

In this slidecast, Silicon Mechanics CTO Daniel Chow describes how the company brings value and performance to its HPC customers. “When looking for a leading solutions integrator to couple disparate hardware and software products into a “HPC Built For You” solution, that will keep up with the evolution and disruptive forces in technology – the Experts at Silicon Mechanics are here to help you.”

Data Storage Best Practices for Life Science Workflows

“Unchecked data growth and data sprawl are having a profound impact on life science workflows. As data volumes continue to grow, researchers and IT leaders face increasingly difficult decisions about how to manage this data yet keep the storage budget in check. Learn how these challenges can be overcome through active data management and leveraging cloud technology. The concepts will be applied to an example architecture that supports both genomic and bioimaging workflows.”

MarFS – A Scalable Near-POSIX File System over Cloud Objects

Gary Grider from LANL presented this talk at the Storage Developer Conference. “MarFS is a Near-POSIX File System using cloud storage for data and many POSIX file systems for metadata. Extreme HPC environments require that MarFS scale a POSIX namespace metadata to trillions of files and billions of files in a single directory while storing the data in efficient massively parallel ways in industry standard erasure protected cloud style object stores.”