DOE News
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    The DOE Science News Source is a Newswise initiative to promote research news from the Office of Science of the DOE to the public and news media.
    • 2016-09-27 14:05:39
    • Article ID: 661678

    Jefferson Lab Becomes an Intel(r) Parallel Computing Center and Deploys Newest Parallel Computing Cluster

    Work on computing the behaviors of the smallest bits of matter in the universe at the U.S. Department of Energy's Thomas Jefferson National Accelerator Facility has just gotten a nod from Intel®, as the laboratory becomes the newest Intel® Parallel Computing Center. Jefferson Lab has also just installed its newest parallel computing cluster, featuring Intel® architecture, which is set to go into production in October.

    “Being named an Intel Parallel Computing Center establishes us as a center of excellence regarding parallel, high-performance code on Intel’s architectures,” said Chip Watson, leader of Jefferson Lab’s High Performance Computing group and an IPCC principal investigator. “This announcement is a recognition of our activity both in terms of producing modernized code and in terms of our outreach and leadership in the community in this area.”

    Jefferson Lab conducts discovery-caliber research in exploring the atomic nucleus and its fundamental constituents, such as protons and neutrons and these particles’ building blocks: quarks and gluons. The theory of how these particles interact -- Quantum Chromodynamics, or QCD -- is far too complex to solve with pencil on paper, so the researchers have turned to supercomputers to compute it in the form of lattice QCD, or LQCD.

    The main thrust of the work involving Intel® is the continuing development of the Chroma code, which is a code that is used to solve LQCD. In collaboration with Intel®, the researchers have been working on developing and improving an open source library of equation solvers for Chroma and on optimizing the performance of Chroma specifically on the Xeon Phi™ processor platform.

    “We have been working with Intel’s parallel computing labs for a long time on writing high-performance code for Intel Xeon Phi libraries. The purpose of this center is to continue modernizing the freely available Chroma LQCD code, so that it will run well on the new generations of hardware,” said Bálint Joó, a member of Jefferson Lab’s High Performance Computing group and a principal investigator for the IPCC.

    The high-performance code will soon be put to the test on Jefferson Lab’s newest parallel computing cluster, SciPhi-XVI. The new cluster features 200 nodes of the second-generation Xeon Phi™ chips, which were released in 2016 and are codenamed Knights Landing. Each node has 64 computing cores, and individual nodes within the machine are connected via the Intel® Omni-Path Architecture, which supports a 100 Gigabit/second data transfer rate between the nodes.

    “Becoming an IPCC recognizes the close collaboration between Jefferson Lab and Intel, and the designation recognizes our role as pathfinders in using Intel’s next-generation architectures,” said Amber Boehnlein, Jefferson Lab’s Chief Information Officer. “Our collaboration ensures that the Chroma code will run faster: providing better results, more quickly. And this is essential to compare the best possible theoretical predictions to new experimental results, a cornerstone of the Jefferson Lab 12 GeV Physics Program.”

    The SciPhi-XVI machine was delivered and installed in mid-August and is currently undergoing beta testing in preparation for full deployment October 1.

    “Now that our newest machine has arrived, we’re excited about rolling it out for lattice QCD calculations using the Chroma code,” explained Watson. “We’re also excited to be exploring the use of these chips for analyzing the data that is generated in Jefferson Lab’s experimental physics program.”

    Watson and Joó’s work on Chroma is funded through the U.S. Department of Energy Office of Science. The research is carried out in collaboration with partner institutions, such as DOE’s National Energy Research Scientific Computing Center (NERSC) Exascale Science Application Program (NESAP) and the Scientific Discovery through Advanced Computing (SciDAC) program. NERSC is a DOE Office of Science User Facility at Lawrence Berkeley National Laboratory.

    The scientists are sharing the fruits of their work by continuing to make the code optimizations they have generated for Chroma publicly available, benefiting the worldwide community of scientists who use the code in their research. They also anticipate seeking out new collaborations in expanding their outreach to the next generation of computational scientists.

    Jefferson Science Associates, LLC, a joint venture of the Southeastern Universities Research Association, Inc. and PAE Applied Technologies, manages and operates the Thomas Jefferson National Accelerator Facility, or Jefferson Lab, for the U.S. Department of Energy's Office of Science.

    DOE’s Office of Science is the single largest supporter of basic research in the physical sciences in the United States, and is working to address some of the most pressing challenges of our time. For more information, visit science.energy.gov.

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    Peering into the Mist: How Water Vapor Changes Metal at the Atomic Level

    New insights into molecular-level processes could help prevent corrosion and improve catalytic conversion.

    Neutron science publications reach new highs at ORNL's flagship facilities

    The High Flux Isotope Reactor and the Spallation Neutron Source at the Department of Energy's Oak Ridge National Laboratory have reached new levels of increased science productivity. In 2018, a record high of more than 500 scientific instrument publications were produced between HFIR and SNS--based on neutron beamline experiments conducted by more than 1,200 US and international researchers who used the world-leading facilities.

    Fiery sighting: A new physics of eruptions that damage fusion experiments

    Feature describes first direct sighting of a trigger for bursts of heat that can disrupt fusion reactions.

    Microbial Types May Prove Key to Gas Releases from Thawing Permafrost

    Scientists discover key types of microbes that degrade organic matter and release carbon dioxide and methane into the atmosphere.

    An effect that Einstein helped discover 100 years ago offers new insight into a puzzling magnetic phenomenon

    Experiments at the Department of Energy's SLAC National Accelerator Laboratory have seen for the first time what happens when magnetic materials are demagnetized at ultrafast speeds of millionths of a billionth of a second: The atoms on the surface of the material move, much like the iron bar did. The work, done at SLAC's Linac Coherent Light Source (LCLS) X-ray laser, was published in Nature earlier this month.

    Found: A precise method for determining how waves and particles affect fusion reactions

    Like surfers catching ocean waves, particles within plasma can ride waves oscillating through the plasma during fusion energy experiments. Now a team of physicists led by PPPL has devised a faster method to determine how much this interaction contributes to efficiency loss in tokamaks.

    Discovery adapts natural membrane to make hydrogen fuel from water

    In a recent study from the U.S. Department of Energy's (DOE) Argonne National Laboratory, scientists have combined two membrane-bound protein complexes to perform a complete conversion of water molecules to hydrogen and oxygen.

    How Plants Regulate Sugar Deposition in Cell Walls

    Identified genes involved in plant cell wall polysaccharide production and restructuring could aid in engineering bioenergy crops.

    Scientists Identify Gene Cluster in Budding Yeasts with Major Implications for Renewable Energy

    How yeast partition carbon into a metabolite may offer insights into boosting production for biofuels.

    Nanocrystals Get Better When They Double Up With MOFs

    Researchers from Lawrence Berkeley National Laboratory (Berkeley Lab) have designed a dual-purpose material out of a self-assembling MOF (metal-organic framework)-nanocrystal hybrid that could one day be used to store carbon dioxide gas molecules for the manufacture of new chemicals and fuels.


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    Top 10 Discoveries of 2018

    Every year, the U.S. Department of Energy's (DOE) Brookhaven National Laboratory compiles a list of the biggest advances made by the Lab's staff scientists, engineers, and visiting researchers. From uncovering mysteries of the universe to building better batteries, here, in no particular order, are our picks for the top 10 discoveries of 2018.

    U.S. Department of Energy Announces $33 Million for Small Business Research and Development Grants

    The U.S. Department of Energy announced it will award 189 grants totaling $33 million to 149 small businesses in 32 states.

    DOE to Provide $16 Million for New Research into Atmospheric and Terrestrial Processes

    The U.S. Department of Energy (DOE) announced a plan to provide $16 million for new observational research aimed at improving the accuracy of today's climate and earth system models.

    Machine learning award powers Argonne leadership in engine design

    When attempting to design engines to be more fuel-efficient and emissions-free, automotive manufacturers have to take into account all the complexity inherent in the combustion process.

    ORNL partners with industry to address multiple nuclear technology challenges

    The Department of Energy's Oak Ridge National Laboratory is collaborating with industry on six new projects focused on advancing commercial nuclear energy technologies that offer potential improvements to current nuclear reactors and move new reactor designs closer to deployment.

    Lithium earns honors for three physicists working to bring the energy that powers the sun to Earth

    Feature describes research of three PPPL physicists who have won the laboratory's 2018 outstanding research awards

    DOE approves technical plan and cost estimate to upgrade Argonne facility; Project will create X-rays that illuminate the atomic scale, in 3D

    The U.S. Department of Energy has approved the technical scope, cost estimate and plan of work for an upgrade of the Advanced Photon Source, a major storage-ring X-ray source at Argonne.

    Costas Soukoulis elected to National Academy of Inventors

    Costas Soukoulis, Ames Laboratory senior scientist and Iowa State University Frances M. Craig Endowed Chair and Distinguished Professor, has been named as a 2018 National Academy of Inventors (NAI) Fellow.

    Biophysicist F. William Studier Elected Fellow of the National Academy of Inventors

    F. William Studier, a Senior Biophysicist Emeritus at the U.S. Department of Energy's Brookhaven National Laboratory and Adjunct Professor of Biochemistry at Stony Brook University, has been elected as a Fellow of the National Academy of Inventors (NAI). He is among 148 renowned academic inventors being recognized by NAI for 2018.

    Blast to the future

    A grant from DOE's Technology Commercialization Fund will help researchers at Argonne and industry partners seek improvements to U.S. manufacturing by making discovery and design of new materials more efficient.


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    Peering into the Mist: How Water Vapor Changes Metal at the Atomic Level

    New insights into molecular-level processes could help prevent corrosion and improve catalytic conversion.

    Microbial Types May Prove Key to Gas Releases from Thawing Permafrost

    Scientists discover key types of microbes that degrade organic matter and release carbon dioxide and methane into the atmosphere.

    New Method Knocks Out Yeast Genes with Single-Point Precision

    Researchers can precisely study how different genes affect key properties in a yeast used industrially to produce fuel and chemicals.

    How Plants Regulate Sugar Deposition in Cell Walls

    Identified genes involved in plant cell wall polysaccharide production and restructuring could aid in engineering bioenergy crops.

    Scientists Identify Gene Cluster in Budding Yeasts with Major Implications for Renewable Energy

    How yeast partition carbon into a metabolite may offer insights into boosting production for biofuels.

    More Designer Peptides, More Possibilities

    A combined experimental and modeling approach contributes to understanding small proteins with potential use in industrial, therapeutic applications.

    Deep Learning for Electron Microscopy

    Artificial intelligence on Summit to discover atomic-scale structures.

    Clarifying Rates of Methylmercury Production

    New model provides more accurate estimates of how fast microbes produce a mercury-based neurotoxin.

    Drought Stress Changes Microbes Living at Sorghum's Roots

    Scientists explore how drought-tolerant plants communicate to nearby microorganisms, suggesting ways to engineer more resilient bioenergy crops.

    How to Best Predict Chemical Reactions of Contaminants in Water

    Scientists determine the accuracy of computational methods used to study the sulfate radical approach to purifying water.


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