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  • richardmitnick 4:33 pm on July 1, 2021 Permalink | Reply
    Tags: "Department of Energy Awards 22 Million Node-Hours of Computing Time to Support Cutting-Edge Research", Advanced Scientific Computing Research (ASCR) Leadership Computing Challenge (ALCC) program, ALCF-Argonne Leadership Computing Facility, , , , , , , , ,   

    From U.S. Department of Energy Office of Science: “Department of Energy Awards 22 Million Node-Hours of Computing Time to Support Cutting-Edge Research” 

    DOE Main

    From U.S. Department of Energy Office of Science

    Department of Energy Awards 22 Million Node-Hours of Computing Time to Support Cutting-Edge Research
    The U.S. Department of Energy’s (DOE) Office of Science today announced that 22 million node-hours for 41 scientific projects under the Advanced Scientific Computing Research (ASCR) Leadership Computing Challenge (ALCC) program. The projects, with applications ranging from nuclear forensics to advanced energy systems to climate change, will use DOE supercomputers to uncover unique insights about scientific problems that would otherwise be impossible to solve using other experimental approaches.

    Selected projects will receive computational time, also known as node-hours, on one or multiple DOE supercomputers to conduct research that would take years to complete on a standard desktop computer. A node-hour is the usage of one node (or computing unit) on a supercomputer for one hour. A project allocated 1,000,000 node-hours could run a simulation on 1,000 compute nodes for 1,000 hours – vastly reducing the total amount of time required to complete the simulation. These three supercomputers – The Oak Ridge Leadership Computing Facility’s “Summit” system at DOE’s Oak Ridge National Laboratory (US), The Argonne Leadership Computing Facility’s “Theta” system at DOE’s Argonne National Laboratory (US), and the DOE’s National Energy Research Scientific Computing Center’s “Cori” system at DOE’s Lawrence Berkeley National Laboratory (US) – are among the fastest computers in the nation. Oak Ridge National Laboratory’s “Summit” currently performs as the second fastest computer in the world.

    “The Department of Energy is committed to providing the advanced scientific tools needed to move U.S. science forward. Supercomputers allow us to explore scientific problems in ways we haven’t been able to in the past – modeling dangerous, large, or costly experiments, safely and quickly,” said Barb Helland, DOE Associate Director for DOE Office of Science Advanced Scientific Computing Research (US). “The ALCC awards are just one example of how the DOE’s investments in supercomputing benefit researchers all across our nation to advance our nation’s scientific competitiveness, accelerate clean energy options, and to understand and mitigate the impacts of climate change.”

    The ASCR Leadership Computing Challenge (ALCC) program supports efforts to broaden community access to DOE’s computing facilities. ALCC focuses on high-risk, high-payoff simulations in areas directly related to the DOE mission and seeks to broaden the community of researchers who use DOE’s advanced computing resources. The 2021 awardees are awarded compute time at DOE’s high-performance computing facilities at Oak Ridge National Laboratory in Tennessee, Argonne National Laboratory in Illinois, and the National Energy Research Scientific Computing Center (US) at Lawrence Berkeley National Laboratory in California. Of the 41 projects, 3 are from industry, 19 are led by universities and 19 are led by national laboratories.
    The projects cover a variety of topics, including:
    • Climate change research, including improving climate models, studying the effects of turbulence in oceans, characterizing the impact of low-level jets on wind farms, improving the simulation of biochemical processes, and simulating clouds on a global scale.
    • Energy research, including AI and deep learning prediction for fusion energy systems, modeling materials for energy storage, studying wind turbine mechanics, and research into the properties of lithium battery electrolytes.
    • Medical research, such as deep learning for medical natural language processing, modeling cancer screening strategies, and modeling cancer initiation pathways.
    Learn more about the 2021 ALCC awardees by visiting the ASCR website. The ALCC application period will re-open for the 2022-23 allocation cycle in Fall 2021.

    See the full article here .


    Please help promote STEM in your local schools.

    Stem Education Coalition
    The mission of the Energy Department is to ensure America’s security and prosperity by addressing its energy, environmental and nuclear challenges through transformative science and technology solutions.

    Science Programs Organization

    The Office of Science manages its research portfolio through six program offices:

    Advanced Scientific Computing Research
    Basic Energy Sciences
    Biological and Environmental Research
    Fusion Energy Sciences
    High Energy Physics
    Nuclear Physics

    The Science Programs organization also includes the following offices:

    The Department of Energy’s Small Business Innovation Research and Small Business Technology Transfer Programs, which the Office of Science manages for the Department;
    The Workforce Development for Teachers and Students program sponsors programs helping develop the next generation of scientists and engineers to support the DOE mission, administer programs, and conduct research; and
    The Office of Project Assessment provides independent advice to the SC leadership regarding those activities essential to constructing and operating major research facilities.

  • richardmitnick 10:56 am on February 2, 2021 Permalink | Reply
    Tags: "Manufacturing faster than the speed of human thought", AI helps us make sense of data that would overwhelm a human operator., ALCF-Argonne Leadership Computing Facility, , ANL's Materials Engineering Research Facility (MERF), , , , The APS is the most powerful X-ray microscope in the Western Hemisphere.   

    From DOE’s Argonne National Laboratory: “Manufacturing faster than the speed of human thought” 

    Argonne Lab
    News from From DOE’s Argonne National Laboratory

    February 2, 2021
    Lynn Hoff

    For more information
    Robyn Wheeler Grange

    A joint venture at the nanoscale Credit: Argonne National Laboratory.

    New materials are key to solving some of the world’s most pressing challenges, including decarbonizing transportation and increasing clean water supplies. There is no shortage of ideas; every day scientists are creating state-of-the-art materials for high-capacity, long-lived, safe, recyclable, and grid-compatible batteries and selective water purification materials that are resistant to fouling and degradation.

    Material quantities that can be developed in the lab, though, are very small — just a gram or less. In order for manufacturers to bring these new materials into the market, a basic science idea must be ​“scaled up” to a sufficiently large enough quantity that it can be evaluated for wide-scale use.

    Cost-effectively scaling up to a quantity of a kilogram or more has been challenging, to say nothing of attempting to accelerate the process in order to meet urgent needs. To overcome these challenges, Argonne is employing artificial intelligence (AI) — a powerful new agent that works faster than the speed of human thought.

    “From autonomous driving to discovering medicines that could potentially work for COVID-19, to suggesting what you should eat or what movie you should watch, artificial intelligence is all around us,” said Santanu Chaudhuri, director of Manufacturing Science and Engineering at Argonne. ​“This same power can transform manufacturing.”

    Argonne’s recently expanded Materials Engineering Research Facility (MERF) is a manufacturing-like environment where scientists use advanced tools to characterize materials they’re making, as they’re making them. Then they use AI and high-performance computing to steer toward the optimal process in near-real time.

    “AI helps us make sense of data that would overwhelm a human operator,” said Chaudhuri. He added, however, that experts must still be at the helm of the machines. Argonne’s cadre of world-class scientists includes many who spent years working in industry, he said.

    Essential to Argonne’s one-of-a-kind scale-up process are the innovative manufacturing technologies and streaming data analytics platform housed in the MERF, as well as the Advanced Photon Source (APS) [below] and the Argonne Leadership Computing Facility (ALCF), national user facilities also located on campus.


    The APS is the most powerful X-ray microscope in the Western Hemisphere, while the ALCF will soon welcome Aurora, an exascale supercomputer that will be among the most powerful machines in the United States.

    Depiction of ANL ALCF Cray Intel SC18 Shasta Aurora exascale supercomputer, being built at DOE’s Argonne National Laboratory.

    See the full article here .


    Please help promote STEM in your local schools.

    Stem Education Coalition

    Argonne National Laboratory seeks solutions to pressing national problems in science and technology. The nation’s first national laboratory, Argonne conducts leading-edge basic and applied scientific research in virtually every scientific discipline. Argonne researchers work closely with researchers from hundreds of companies, universities, and federal, state and municipal agencies to help them solve their specific problems, advance America’s scientific leadership and prepare the nation for a better future. With employees from more than 60 nations, Argonne is managed by UChicago Argonne, LLC for the U.S. Department of Energy’s Office of Science. For more visit http://www.anl.gov.

    About the Advanced Photon Source

    The U. S. Department of Energy Office of Science’s Advanced Photon Source (APS) at Argonne National Laboratory is one of the world’s most productive X-ray light source facilities. The APS provides high-brightness X-ray beams to a diverse community of researchers in materials science, chemistry, condensed matter physics, the life and environmental sciences, and applied research. These X-rays are ideally suited for explorations of materials and biological structures; elemental distribution; chemical, magnetic, electronic states; and a wide range of technologically important engineering systems from batteries to fuel injector sprays, all of which are the foundations of our nation’s economic, technological, and physical well-being. Each year, more than 5,000 researchers use the APS to produce over 2,000 publications detailing impactful discoveries, and solve more vital biological protein structures than users of any other X-ray light source research facility. APS scientists and engineers innovate technology that is at the heart of advancing accelerator and light-source operations. This includes the insertion devices that produce extreme-brightness X-rays prized by researchers, lenses that focus the X-rays down to a few nanometers, instrumentation that maximizes the way the X-rays interact with samples being studied, and software that gathers and manages the massive quantity of data resulting from discovery research at the APS.

    This research used resources of the Advanced Photon Source, a U.S. DOE Office of Science User Facility operated for the DOE Office of Science by Argonne National Laboratory under Contract No. DE-AC02-06CH11357.
    Argonne is managed by UChicago Argonne, LLC for the U.S. Department of Energy’s Office of Science

    Argonne Lab Campus

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