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HPC + Ai: Machine Learning Models in Scientific Computing

Steve Oberlin from NVIDIA gave this talk at the Stanford HPC Conference. “Clearly, AI has benefited greatly from HPC. Now, AI methods and tools are starting to be applied to HPC applications to great effect. This talk will describe an emerging workflow that uses traditional numeric simulation codes to generate synthetic data sets to train machine learning algorithms, then employs the resulting AI models to predict the computed results, often with dramatic gains in efficiency, performance, and even accuracy.”

Truly Inspiring: Fighting World Hunger with Cray Supercomputers

In this video, Computational biologist Laura Boykin describes the threat to lives and livelihoods the whitefly represents, the international effort to fight it, and how supercomputing flips the script on a once unwinnable war. “Cray supports visionaries like Laura and her scientific colleagues in East Africa in combining computation and creativity to change outcomes.”

The State of High-Performance Fabrics: A Chat with the OpenFabrics Alliance

In this special guest feature, Paul Grun and Doug Ledford from the OpenFabrics Alliance describe the industry trends in the fabrics space, its state of affairs and emerging applications. “Originally, ‘high-performance fabrics’ were associated with large, exotic HPC machines. But in the modern world, these fabrics, which are based on technologies designed to improve application efficiency, performance, and scalability, are becoming more and more common in the commercial sphere because of the increasing demands being placed on commercial systems.”

Video: Lenovo & Intel Give Platform to University AI Researchers

For the second year, Lenovo, the largest worldwide provider of supercomputers, and Intel, a leader in the semiconductor industry, co-sponsored the University Artificial Intelligence Challenge, which aims to recognize outstanding university-based AI researchers for their achievements in the field. The company started this program in 2017, with the goal of encouraging AI research in universities world-wide. “Eight researchers from universities in North America, Europe, and Asia were selected as award winners, seven of them made it to SC18 and presented their findings in the Lenovo booth.”

Watch Now: the @insideHPC Documentary about Dogs and the People Who Love Them

I would like share this very special film with all my readers who happen to be Dog lovers. “Once there was a Giant” is a short documentary film about Dogs and the Dog Owners who love them. Written and Directed by Richard Brueckner, this film premiered in Portland on Halloween and is now live on YouTube.

Argonne is Supercomputing Big Data from the Large Hadron Collider

Over at Argonne, Madeleine O’Keefe writes that the Lab is supporting CERN researchers working to interpret Big Data from the Large Hadron Collider (LHC), the world’s largest particle accelerator. The LHC is expected to output 50 petabytes of data this year alone, the equivalent to nearly 15 million high-definition movies—an amount so enormous that analyzing it all poses a serious challenge to researchers.

HPC Server Market Jumps 27.6% in 2Q 2018

Hyperion Research reports that worldwide factory revenue for the high-performance computing (HPC) technical server market jumped 27.6% to $3.7 billion in the second quarter of 2018 (2Q18), up from $2.9 billion in the same period of 2017, according to the newly released Hyperion Research Worldwide High-Performance Technical Server QView. Sequentially, second-quarter 2018 HPC server revenue grew 16.7% over the $3.2 billion figure in the first quarter of 2018.

Microsoft is Making Progress on Quantum Computing as a Service

Just one year after launch, Microsoft is touting their progress towards building Quantum Computing as a Service. “The Microsoft Quantum Development Kit is the fastest path to quantum development. Available for Linux, MacOS, and Windows, you now are just a few steps away from accessing local quantum simulators or in Azure.”

Debugging for Success and Accelerated Platform Bring-Up

Debugging can prove a substantial challenge, even for experienced engineers. In this video, Soflen Shih, a technical consulting engineer at Intel, discusses the benefits of Intel System Studio and how its built-in functionality can make the debugging process much easier. “Intel System Studio contains libraries, performance analyzers, and compilers as well as profiling and debugging tools. The combination of these elements provides a complete developer solution to assist with platform bring-up, power optimization, thermal tuning, and system performance profiling.”

Survey Foretells Explosive Growth in Machine Learning Projects Over Next Two Years

Over at the Univa Blog, Gary Tyreman writes that the company sponsored an industry-wide survey to better understand what key challenges our HPC users are currently facing that are preventing them from moving their machine learning (ML) projects into production. “Our goal is to use this data to help guide our customers and recommend the right set of tools and migration options needed to accelerate value in machine learning.”