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Dell Powers New HPC Cluster at the University of Alabama at Birmingham

Today the University of Alabama at Birmingham unveiled a new supercomputer powered by Dell. With a peak performance of 110 Teraflops, the system is 10 times faster than its predecessor. “With their new Dell EMC HPC cluster, UAB researchers will have the compute and storage they need to aggressively research, uncover and apply knowledge that changes the lives of individuals and communities in many areas, including genomics and personalized medicine.”

Video: HPC Disruptive Technologies Panel

In this video from the 2016 HPC User Forum in Austin, a select panel of HPC vendors describe their disruptive technologies for high performance computing. Vendors include: Altair, SUSE, ARM, AMD, Ryft, Red Hat, Cray, and Hewlett Packard Enterprise. “A disruptive innovation is an innovation that creates a new market and value network and eventually disrupts an existing market and value network, displacing established market leading firms, products and alliances.”

Podcast: Solar-Powered Hikari Supercomputer at TACC Demonstrates HVDC Efficiencies

Engineers of the Hikari HVDC power feeding system predict it will save 15 percent compared to conventional systems. “The 380 volt design reduces the number of power conversions when compared to AC voltage systems,” said James Stark, director of Engineering and Construction at the Electronic Environments Corporation (EEC), a Division of NTT FACILITIES. “What’s interesting about that,” Stark added, “is the computers themselves – the supercomputer, the blade servers, cooling units, and lighting – are really all designed to run on DC voltage. By supplying 380 volts DC to Hikari instead of having an AC supply with conversion steps, it just makes a lot more sense. That’s really the largest technical innovation.”

Nvidia Unveils World’s First GPU Design for Inferencing

Nvidia’s GPU platforms have been widely used on the training side of the Deep Learning equation for some time now. Today the company announced a new Pascal-based GPU tailor-made for the inferencing side of Deep Learning workloads. “With the Tesla P100 and now Tesla P4 and P40, NVIDIA offers the only end-to-end deep learning platform for the data center, unlocking the enormous power of AI for a broad range of industries,” said Ian Buck, general manager of accelerated computing at NVIDIA.”

Examples of Deep Learning Industrialization

Humans are very good at visual pattern recognition especially when it comes to facial features and graphic symbols and identifying a specific person or associating a specific symbol with an associated meaning. It is in these kinds of scenarios where deep learning systems excel. Clearly identifying each new person or symbol is more efficiently achieved by a training methodology than by needing to reprogram a conventional computer or explicitly update database entries.

Funding Boosts Exascale Research at LANL

“Our collaborative role in these exascale applications projects stems from our laboratory’s long-term strategy in co-design and our appreciation of the vital role of high-performance computing to address national security challenges,” said John Sarrao, associate director for Theory, Simulation and Computation at Los Alamos National Laboratory. “The opportunity to take on these scientific explorations will be especially rewarding because of the strategic partnerships with our sister laboratories.”

EU HPC Strategy and the European Cloud Initiative

Leonardo Flores from the European Commission presented this talk at the HPC User Forum. “The Cloud Initiative will make it easier for researchers, businesses and public services to fully exploit the benefits of Big Data by making it possible to move, share and re-use data seamlessly across global markets and borders, and among institutions and research disciplines. Making research data openly available can help boost Europe’s competitiveness, especially for start-ups, SMEs and companies who can use data as a basis for R&D and innovation, and can even spur new industries.”

Video: Japan’s Post K Computer

Yutaka Ishikawa from Riken AICS presented this talk at the HPC User Forum. “Slated for delivery sometime around 2022, the ARM-based Post-K Computer has a performance target of being 100 times faster than the original K computer within a power envelope that will only be 3-4 times that of its predecessor. RIKEN AICS has been appointed as the main organization for leading the development of the Post-K.”

New OpenPOWER Servers Accelerate Deep Learning with NVLink

Today IBM unveiled a series of new servers designed to help propel cognitive workloads and to drive greater data center efficiency. Featuring a new chip, the Linux-based lineup incorporates innovations from the OpenPOWER community that deliver higher levels of performance and greater computing efficiency than available on any x86-based server. “Collaboratively developed with some of the world’s leading technology companies, the new Power Systems are uniquely designed to propel artificial intelligence, deep learning, high performance data analytics and other compute-heavy workloads, which can help businesses and cloud service providers save money on data center costs.”

The Challenges and Rewards of Stockpile Stewardship

Charles W. Nakhleh from LANL presented this talk at the 2016 DOE NNSA SSGF Annual Program Review. “This talk will explore some of the future opportunities and exciting scientific and technological challenges in the National Nuclear Security Administration Stockpile Stewardship Program. The program’s objective is to ensure that the nation’s nuclear deterrent remains safe, secure and effective. Meeting that objective requires sustained excellence in a variety of scientific and engineering disciplines and has led to remarkable advances in theory, experiment and simulation.”