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Case Study: More Efficient Numerical Simulation in Astrophysics

Novosibirsk State University is one of the major research and educational centers in Russia and one of the largest universities in Siberia. When researchers at the University were looking to develop and optimize a software tool for numerical simulation of magnetohydrodynamics (MHD) problems with hydrogen ionization —part of an astrophysical objects simulation (AstroPhi) project—they needed to optimize the tool’s performance on Intel® Xeon Phi™ processor-based hardware.

Cray Powers Breakthrough Discoveries with Urika-XC – Delivering Analytics and AI at Supercomputing Scale

Global supercomputer leader Cray Inc. (Nasdaq: CRAY) announced the launch of the Cray® Urika®-XC analytics software suite, bringing graph analytics, deep learning, and robust big data analytics tools to the Company’s flagship line of Cray XC™ supercomputers. The Cray Urika-XC analytics software suite empowers data scientists to make breakthrough discoveries previously hidden within massive data sets, and achieve faster time-to-insight while leveraging the scale and performance of Cray XC supercomputers.

TERATEC 2017 Forum – The International Meeting for HPC, Simulation, Big Data

The TERATEC Forum is a major event in France and Europe that brings together the best international experts in HPC, Simulation and Big Data. It reaffirms the strategic importance of these technologies for developing industrial competitiveness and innovation capacity. The TERATEC Forum welcomes more than 1 300 attendees, highlighting the technological and industrial dynamism of HPC and the essential role that France plays in this field.

Cycle Computing Helps HyperXite Build Transportation for the Future

Cycle Computing, a leader in Big Compute and Cloud HPC orchestration, announced that the HyperXite team is utilizing Cycle Computing’s CycleCloud to manage Microsoft Azure compute hours needed in order to perform detailed simulations using ANSYS Fluent®.

Dr. Eng Lim Goh on New Trends in Big Data and Deep Learning for Artificial Intelligence

In this video from SC16, Dr. Eng Lim Goh from HPE/SGI discusses new trends in HPC Energy Efficiency and Deep Learning for Artificial Intelligence. “Recently acquired by Hewlett Packard Enterprise, SGI is a trusted leader in technical computing with a focus on helping customers solve their most demanding business and technology challenges.”

Nimbix Unveils Expanded Cloud Product Strategy for Enterprises and Developers

Nimbix, a leading provider of high performance and cloud supercomputing services, announced its new combined product strategy for enterprise computing, end users and developers. This new strategy will focus on three key capabilities – JARVICE™ Compute for high performance processing, including Machine Learning, AI and HPC workloads; PushToCompute™ for application developers creating and monetizing high performance workflows; and MaterialCompute™, a brand new intuitive user interface, featuring the industry’s largest high performance application marketplace available from a cloud provider.

HPC Storage Performance in the Cloud

In this contributed article, technical story teller Ken Strandberg, discusses the feeding of high-performance computing (HPC) and enterprise technical computing clusters with data using Lustre, the open source parallel file system that provides the performance and scalability to meet the demands of workloads on these systems.

Cray Works with Industry Leaders to Reach New Performance Milestone for Deep Learning at Scale

Cray Inc. announced the results of a deep learning collaboration between Cray, Microsoft, and the Swiss National Supercomputing Centre (CSCS) that expands the horizons of running deep learning algorithms at scale using the power of Cray supercomputers. Running larger deep learning models is a path to new scientific possibilities, but conventional systems and architectures limit the problems that can be addressed, as models take too long to train. Cray worked with Microsoft and CSCS, a world-class scientific computing center, to leverage their decades of high performance computing expertise to profoundly scale the Microsoft Cognitive Toolkit.

MapD Builds Out Award-Winning GPU and Visual Analytics Platform

MapD, a leader in GPU-powered analytics, announced significant new feature and performance enhancements to its Core database and Immerse visual analytics platform. The new capabilities extend the company’s pioneering work in using GPUs to both query and visualize billions of records with millisecond latency. The performance characteristics of MapD’s approach are anywhere from 75 to 3,500 times faster than traditional CPU-powered databases.

Cray Systems Power Deep Learning in Supercomputing at Scale

Supercomputer leader Cray Inc. (Nasdaq: CRAY) announced the Company has unveiled new deep learning capabilities across its line of supercomputing and cluster systems.