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NOAA Looks to Dell for Massive Supercomputing Upgrade

Today NOAA announced to plans for a major upgrade to its supercomputing capabilities. The upgrade adds 2.8 petaflops of computational power, enabling NOAA’s National Weather Service to implement the next generation Global Forecast System, known as the “American Model,” next year. “Having more computing speed and capacity positions us to collect and process even more data from our newest satellites — GOES-East, NOAA-20 and GOES-S — to meet the growing information and decision-support needs of our emergency management partners, the weather industry and the public.”

RAID Inc. Joins OpenSFS to Support the Lustre File System

RAID Incorporated has joined OpenSFS (Open Scalable File Systems, Inc.). OpenSFS is a non-profit organization that supports the vendor-neutral development of Lustre. Since 2010, OpenSFS has utilized working groups, events, and funding initiatives to encourage the growth and stability of the Lustre community, as well as facilitate collaborative benefits of its members, to ensure Lustre remains open, free, and flourishing. “RAID Incorporated undoubtedly brings great value to OpenSFS and will aid in boosting the continued innovation and advancements of the Lustre file system,” said OpenSFS President Sarp Oral.

Steve Oberlin from NVIDIA Presents: HPC Exascale & AI

Steve Oberlin from NVIDIA gave this talk at SC17 in Denver. “HPC is a fundamental pillar of modern science. From predicting weather to discovering drugs to finding new energy sources, researchers use large computing systems to simulate and predict our world. AI extends traditional HPC by letting researchers analyze massive amounts of data faster and more effectively. It’s a transformational new tool for gaining insights where simulation alone cannot fully predict the real world.”

Video: Red Hat Showcases ARM Support for HPC at SC17

In this video from SC17, Jon Masters from Red Hat describes the company’s Multi-Architecture HPC capabilities, including the new ARM-powered Apollo 70 server from HPE. “At SC17, you will also have an opportunity to see the power and flexibility of Red Hat Enterprise Linux across multiple architectures, including Arm v8-A, x86_64 and IBM POWER Little Endian.”

New Whitepaper on Meltdown and Spectre fixes for HPC

Can you afford to lose a third of your compute real estate? If not, you need to pre-empt the impact of Meltdown and Spectre. “Meltdown and Spectre are quickly becoming household names and not just in the HPC space. The severe design flaws in Intel microprocessors that could allow sensitive data to be stolen and the fixes are likely to be bad news for any I/O intensive applications such as those often used in HPC. Ellexus Ltd, the I/O profiling company, has released a white paper: How the Meltdown and Spectre bugs work and what you can do to prevent a performance plummet.”

Adapting Deep Learning to New Data Using ORNL’s Titan Supercomputer

Travis Johnston from ORNL gave this talk at SC17. “Multi-node evolutionary neural networks for deep learning (MENNDL) is an evolutionary approach to performing this search. MENNDL is capable of evolving not only the numeric hyper-parameters, but is also capable of evolving the arrangement of layers within the network. The second approach is implemented using Apache Spark at scale on Titan. The technique we present is an improvement over hyper-parameter sweeps because we don’t require assumptions about independence of parameters and is more computationally feasible than grid-search.”

The AI Future is Closer than it Seems

Gadi Singer gave this talk at the Intel HPC Developer Conference in Denver. “Technology visionaries architecting the future of high-performance computing and artificial intelligence (AI) will share the key challenges as well as Intel’s direction. The talk will cover the adaptation of AI into HPC workflows, along their perspective architectural developments, upcoming transitions and range of solutions, technology opportunities, and the driving forces behind them.”

Video: Deep Learning for Science

Prabhat from NERSC and Michael F. Wehner from LBNL gave this talk at the Intel HPC Developer Conference in Denver. “Deep Learning has revolutionized the fields of computer vision, speech recognition and control systems. Can Deep Learning (DL) work for scientific problems? This talk will explore a variety of Lawrence Berkeley National Laboratory’s applications that are currently benefiting from DL.”

Intel Omni-Path Architecture: The Real Numbers

In this slidecast, Joe Yaworski from Intel describes the Intel Omni-Path architecture and how it scales performance for a wide range of HPC applications. He also shows why recently published benchmarks have not  reflected the real performance story.

Preliminary Agenda Posted for March HPC User Forum in France

The HPC User Forum has posted their Preliminary Agenda for their upcoming meeting in France. Free to attend, the event takes place March 6-7 near Paris at the Teratec campus in Bruyères-le-Châtel. “We have developed an exciting agenda with prominent speakers who will discuss the HPC strategies for Europe, Japan and the USA,” said Earl Joseph, CEO of Hyperion Research. “We will also have talks on new HPC technologies, applications and markets; and the proliferation of HPC in industrial and commercial environments.”