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Podcast: Micron’s Steve Pawlowski on the Latest Memory Trends for HPC

In this podcast from ISC 2016 in Frankfurt, Steve Pawlowski from Micron discusses the latest memory technology trends for high performance computing. “When you look at a technology like 3D XPoint and some of the new materials the industry is looking at, those latencies are becoming more DRAM-like, which makes them a more attractive option to look at. Is there a way we can actually inject persistent memory that’s fairly high-performance so we don’t take a performance hit but we can certainly increase the capacity on a cost-per-bit basis versus what we have today?”

Video: Data Storage Infrastructure at University of Queensland

“Data Science and Information Systems researchers at UQ are tackling the challenges of big data, real-time analytics, data modeling and smart information use. The cutting-edge solutions developed at UQ will lead to user empowerment at an individual, corporate and societal level. Our researchers are making a sustained and influential contribution to the management, modeling, governance, integration, analysis and use of very large quantities of diverse and complex data in an interconnected world.”

Video: A Computational Future for Science Education

“This talk will describe one new effort to embed best practices for reproducible scientific computing into traditional university curriculum. In particular, a set of open source, liberally licensed, IPython (now Jupyter) notebooks are being developed and tested to accompany a book “Effective Computation in Physics.” These interactive lecture materials lay out in-class exercises for a project-driven upper-level undergraduate course and are accordingly intended to be forked, modified and reused by professors across universities and disciplines.”

DDN Opens New Techology Center in Paris

DDN has opened a research and development center in Paris, in response to strong demand the French market and across Europe for high-performance big data storage solutions. DDN’s Newly Created Research and Development Centre, located in the Meudon area of Paris, will develop advanced end-to-end data lifecycle management technology, and a local technical presence for its European customer base – increasing scope for innovation and collaboration.

Nvidia Showcases DGX-1 Deep Learning Supercomputer at ISC 2016

In this video from ISC 2016, Marc Hamilton from Nvidia describes the new DGX-1 Deep Learning Supercomputer. “The NVIDIA DGX-1 is the world’s first purpose-built system for deep learning with fully integrated hardware and software that can be deployed quickly and easily. Its revolutionary performance significantly accelerates training time, making the NVIDIA DGX-1 the world’s first deep learning supercomputer in a box.”

Supermicro Showcases Intel Xeon Phi and Nvidia P100 Solutions at ISC 2016

At ISC 2016, Supermicro debuted the latest innovations in HPC architectures and technologies including a 2U 4-Node server supporting new Intel Xeon Phi processors (formerly code named Knights Landing) with integrated or external Intel Omni-Path fabric option, together with associated 4U/Tower development workstation; 1U SuperServer supporting up to 4 GPU including the next generation P100 GPU; Lustre High Performance File system; and 1U 48-port top-of-rack network switch with 100Gbps Intel Omni-Path Architecture (OPA) providing a unique HPC cluster solution offering excellent bandwidth, latency and message rate that is highly scalable and easily serviceable.

Analytics Frameworks

This whitepaper is an excellent summary of how a next generation platform can be developed to bring a wide range of data to life, giving users the ability to take action when needed. Organizations that need to deal with massive amounts of data but are having challenges figuring out how to make sense of all of the data should read this whitepaper.

Intel Furthers Machine Learning Capabilities

“Intel provided a wealth of machine learning announcements following the Intel Xeon Phi processor (formerly known as Knights Landing) announcement at ISC’16. Building upon the various technologies in Intel Scalable System Framework, the machine learning community can expect up to 38% better scaling over GPU-accelerated machine learning and an up to 50x speedup when using 128 Intel Xeon Phi nodes compared to a single Intel Xeon Phi node. The company also announced an up to 30x improvement in inference performance (also known as scoring or prediction) on the Intel Xeon E5 product family due to an optimized Intel Caffe plus Intel Math Kernel Library (Intel® MKL) package.”

For SGI, This is Supercomputing at ISC 2016

In this video from ISC 2016, Gabriel Broner from SGI describes the company’s innovative solutions for high performance computing. “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.”

Video: Rolling Out the New Intel Xeon Phi Processor at ISC 2016

In this video from ISC 2016, Barry Davis from Intel describes the company’s brand new Intel Xeon Phi Processor and how it fits into the Intel Scalable System Framework. “Eliminate node bottlenecks, simplify your code modernization and build on a power-efficient architecture with the Intel Xeon Phi™ processor, a foundational element of Intel Scalable System Framework. The bootable host processor offers an integrated architecture for powerful, highly parallel performance that will pave your path to deeper insight, innovation and impact for today’s most-demanding High Performance Computing applications, including Machine Learning. Supported by a comprehensive technology roadmap and robust ecosystem, the Intel Xeon Phi processor is a future-ready solution that maximizes your return on investment by using open standards code that are flexible, portable and reusable.”