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Intel Xeon Processors and Intel Omni-Path Architecture Offer Breakthroughs for Top500 Systems

Last week, the rhetorical one-two punch of the Intel HPC Developer Conference and Supercomputing 2017 offered global HPC aficionados new insights into the direction of advanced HPC technologies, and how those tools will empower the future of discovery and innovation. In case you missed it, here is a breakdown of all the action.

Catch Today’s ‘Artificial Intelligence and The Virtuous Cycle of Compute’ Presentation by Intel

At SC17, Intel is reinforcing its ongoing commitment to HPC and AI technologies. If you want to learn more about Intel’s investment in Artificial Intelligence, and the convergence with HPC, then be sure to catch the future-focused presentation on “Artificial Intelligence and The Virtuous Cycle of Compute” by Pradeep Dubey, Intel Fellow, and Director of Parallel Computing Lab.  

An Overview of AI in the HPC Landscape

The demand for performant and scalable AI solutions has stimulated a convergence of science, algorithm development, and affordable technologies to create a software ecosystem designed to support the data scientist. “It is very important to understand that time-to-model and the accuracy of the resulting model are really the only performance metrics that matter when training because the goal is to quickly develop a model that represents the training data with high accuracy.”

Composable Infrastructure: Composing Greater HPC Breakthroughs

Composable infrastructure allows any number of CPU nodes to dynamically map the optimum number of GPU and NVMe storage resources to each node required to complete a specific task.  In this sponsored post, Katie Rivera of One Stop Systems, explores the power of GPUs and the potential benefits of composable infrastructure for HPC. 

Intel at SC17: Showcasing HPC technologies, luminary speakers, and a virtual motorsports experience

This year at SC17, Intel offers many opportunities to learn about the newest technologies, emerging fields like Artificial Intelligence, and the ways organizations are applying those capabilities for real-world applications.”

The Inflection Point of Wattage in HPC, Deep Learning and AI

Magnified in 2017 by machine learning and AI, there is a heightened concern in the HPC community over wattage trends in CPUs, GPUs and emerging neural chips required to meet accelerating computational demands in HPC clusters. In this sponsored post from Asetek, the company examines how high wattage trends in HPC, deep learning and AI might be reaching an inflection point.

Register Now For the Intel HPC Developer Conference 2017

Powerful technologies today fuel tomorrow’s HPC and High-Performance Data Analytics innovations and help organizations accelerate toward discoveries. Get ahead of the curve at the Intel HPC Developer Conference 2017 in Denver, Colorado on November 11-12.

Challenges to Managing an HPC Software Stack

The HPC system software stack tends to be complicated, assembled out of a diverse mix of somewhat compatible open source and commercial components. This is the second article in a four-part series that explores using Intel HPC Orchestrator to solve HPC software stack management challenges. Download the full insideHPC Special Report.

1000x Faster Deep-Learning at Petascale Using Intel Xeon Phi Processors

A cumulative effort over several years to scale the training of deep-learning neural networks has resulted in the first demonstration of petascale deep-learning training performance, and further to deliver this performance when solving real science problems. The result reflects the combined efforts of NERSC (National Energy Research Scientific Computing Center), Stanford and Intel to solve real world use cases rather than simply report on performance benchmarks.

HPC Software Stacks: Making High Performance Computing More Accessible

More than 200 researchers at the University of Pisa use high performance computing (HPC) systems in their quantum chemistry, nanophysics, genome sequencing, engineering simulations and areas such as big data analysis. The University’s IT Center has moved to a pre-integrated HPC software stack designed to simplify software installation and maintenance. This sponsored post from Intel shows how a  pre-integrated, validated and supported HPC software stack allows the University of Pisa to focus on research.