Feature Channels: Supercomputing

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Supercomputer simulations at the Department of Energy’s Oak Ridge National Laboratory have played a key role in discovering a new class of drug candidates that hold promise to combat antibiotic resistance. In a study led by the University of Oklahoma with ORNL, the University of Tennessee and Saint Louis University, lab experiments were combined with supercomputer modeling to identify molecules that boost antibiotics’ effect on disease-causing bacteria.

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MADISON, Wis. — Computer chips in development at the University of Wisconsin–Madison could make future computers more efficient and powerful by combining tasks usually kept separate by design.

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Brookhaven Lab is leading one of the 35 software development projects (SOLLVE) and partnering on one of the four co-design centers (CODAR) recently funded by DOE’s Exascale Computing Project. SOLLVE will focus on OpenMP functionality for exascale computing; CODAR will concentrate on online data analysis and reduction at the exascale.

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Los Alamos National Laboratory has been recognized with an HPCwire Readers’ and Editors’ Choice Award for the Lab’s collaboration with Seagate on next-generation data storage technologies.

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Leaders in hybrid accelerated high-performance computing in the United States, Japan, and Switzerland have signed a memorandum of understanding establishing an international institute dedicated to common goals, the sharing of HPC expertise, and forward-thinking evaluation of computing architecture.

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The Department of Energy’s Exascale Computing Project (ECP) today announced the selection of 35 software development proposals representing 25 research and academic organizations.

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Using the Titan supercomputer at the Oak Ridge Leadership Computing Facility, a DOE Office of Science User Facility located at ORNL, Tourassi’s team applied deep learning to extract useful information from cancer pathology reports, a foundational element of cancer surveillance. Working with modest datasets, the team obtained preliminary findings that demonstrate deep learning’s potential for cancer surveillance.

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In the unlikely event of the zombie apocalypse, it would take less than two months for the undead to take control of the city, says a new study by researchers at Argonne National Laboratory.

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Researchers at the Department of Energy’s SLAC National Accelerator Laboratory are playing key roles in two recently funded computing projects with the goal of developing cutting-edge scientific applications for future exascale supercomputers that can perform at least a billion billion computing operations per second – 50 to 100 times more than the most powerful supercomputers in the world today.

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Theoretical physicists at Oak Ridge National Laboratory recently used Titan, America’s most powerful supercomputer, to compute the nuclear structure of nickel-78 and found that this neutron-rich nucleus is indeed doubly magic.

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The University of North Florida has added a cutting-edge computing resource to its campus network that will put UNF faculty research on the map globally.

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The Department of Energy is partnering with the National Cancer Institute in an “all-government” approach to fighting cancer. Part of this partnership is a three-year pilot project called the Joint Design of Advanced Computing Solutions for Cancer (JDACSC), which will use Department of Energy supercomputing to build sophisticated computational models to facilitate breakthroughs in the fight against cancer on the molecular, patient and population levels.

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Rutgers is receiving a $4 million NSF grant to create and assess a regional computing infrastructure for collaborative data-intensive science. The team includes faculty at the Rutgers Discovery Informatics Institute, Penn State University, City University of New York, Drexel and Temple.

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A new data analysis/visualization toolkit developed at Lawrence Berkeley National Laboratory is designed to help speed particle accelerator research and design by enabling in situ visualization and analysis of accelerator simulations at scale.

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Texas Tech researcher Abdul Serwadda is working to advance research to develop secure user authentication methods.

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A multi-institution team led by University of Illinois at Urbana-Champaign professor David Ceperley is using high-performance computing resources at the Oak Ridge Leadership Computing Facility to compare experimental findings pertaining to a variety of novel materials.

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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.

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A unique collaboration between computers scientists and mathematicians from Berkeley Lab's Computing Sciences group and Ciena, a major U.S. telecommunications equipment provider, has helped dramatically improve design cycle times for Ciena's high-speed optical networking components.

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In a live webcast October 5, Michele Mosca will explore quantum technologies – those that already exist and those yet to come – and how they will affect our lives.

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The NYU Holodeck will be developed as a well-integrated software/hardware instrument incorporating visual, audio, and physical (haptics, objects, real-time fabrication) components, providing a compelling opportunity to explore and advance new types of science, permitting researchers from diverse disciplines to interact with theoretical models, real objects, robots, and agents, engendering insights that may not be possible using current 2-D and 3-D representations and analytic techniques.

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Shantenu Jha is a RADICAL man. Jha and his RADICAL (Rutgers Advanced Distributed Cyberinfrastructure and Applications Laboratory) team operate at the crossroads of computing and science, and their work has benefited research in the molecular sciences, polar sciences and high-energy physics.

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The Advanced Scientific Computing Advisory Committee (ASCAC), established on August 12, 1999, provides valuable, independent advice to the Department of Energy on a variety of complex scientific and technical issues related to its Advanced Scientific Computing Research program.

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The National Science Foundation has awarded a $4 million grant to UNC Charlotte researchers to develop a multidisciplinary research program called Virtual Information Fabric Infrastructure (VIFI) that will create new ways to manage, use and share Big Data and analytic results

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The U.S. Department of Energy’s High Performance Computing for Manufacturing program, designed to spur the use of national lab supercomputing resources and expertise to advance innovation in energy efficient manufacturing, is now seeking a new round of proposals from industry to compete for $3 million in new funding.

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The Department of Energy’s Exascale Computing Project (ECP) today announced its first round of funding with the selection of 15 application development proposals for full funding and seven proposals for seed funding, representing teams from 45 research and academic organizations.

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The Exascale Computing Project today announced its first round of funding with the selection of application development proposals, including three Argonne-led projects.

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In today’s Department of Energy Exascale Computing Project (ECP) funding announcement, six Los Alamos National Laboratory partnership projects were tagged for full funding and one for seed money.

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The Department of Energy’s Oak Ridge National Laboratory has received funding from DOE’s Exascale Computing Project to develop applications for future exascale systems that will be 50 to 100 times more powerful than today’s fastest supercomputers.

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Scientists at the Department of Energy’s (DOE) Lawrence Berkeley National Laboratory (Berkeley Lab) will lead or play key roles in developing 11 critical research applications for next-generation supercomputers as part of DOE’s Exascale Computing Project (ECP).

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Developed at Lawrence Berkeley National Laboratory, a new mathematical framework sheds light on how fast a fluid moves in its environment, how much pressure it is under, and what forces it exerts on its surroundings.

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A prototype cooling system for supercomputer data centers is expected to save hundreds of millions of gallons of water if widely adopted.

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The U.S. Department of Energy announced last week that 43 small businesses will participate in the second round of the Small Business Vouchers (SBV) pilot.

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In an effort to modernize CFD, a group of Imperial College researchers has developed new open-source software called PyFR, a Python-based application that combines highly accurate numerical methods with a highly flexible, portable, and scalable code implementation that makes efficient use of accelerators. Industry adoption of the code could allow companies to better exploit petascale computing to understand long-standing fluid flow problems, unsteady turbulence in particular.

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Aleksandra Vojvodic has been named one of MIT Technology Review’s 2016 Innovators Under 35, which honors exceptionally talented technologists whose work has great potential to transform the world. A staff scientist at the Department of Energy’s SLAC National Accelerator Laboratory, she has spent the past six years working at the SUNCAT Center for Interface Science and Catalysis, where she uses theory and computation to help design better catalysts for reactions that generate and store clean energy.

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The U.S. Department of Energy announced today that it will invest $16 million over the next four years to accelerate the design of new materials through use of supercomputers.

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A team of physicists just received $2.1 million in funding for 2016-2017 from DOE’s Advanced Scientific Computing Research (ASCR) program to enhance a “workload management system” for handling the ever-increasing data demands of two experiments at the Large Hadron Collider and expanding its use as a general workload management service for a Department of Energy supercomputer.

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A moment of inspiration during a wiring diagram review has saved more than $2 million in material and labor costs for the Trinity supercomputer at Los Alamos National Laboratory.

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As director, Eric Lançon—a physicist who has played major roles in computing efforts for the Large Hadron Collider in Europe—oversees an integrated computing, data storage, and networking infrastructure.

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Article describes Intel-sponsored project to modernize a fusion code that is installed on supercomputers around the world.

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The Bellerophon Environment for Analysis of Materials (BEAM) is an ORNL platform that combines scientific instruments with web and data services and HPC resources through a user-friendly interface. Designed to streamline data analysis and workflow processes from experiments originating at DOE Office of Science User Facilities at ORNL, such as the Center for Nanophase Materials Sciences (CNMS) and Spallation Neutron Source (SNS), BEAM gives materials scientists a direct pipeline to scalable computing, software support, and high-performance cloud storage services.

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3-D printed heat sinks show promise for higher power densities in electronics; ORNL system allows for inspections of materials on the fly; ORNL scientists advance understanding of superconductivity phenomenon; ORNL leads team that casts further doubt of calcium-52's magic status; Bamboo fiber potentially useful for 3-D-printed materials

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By more completely capturing the dynamics of plasma turbulence across an unprecedented range of spatial and temporal scales, researchers have reproduced experimental levels of heat loss observed experimentally where they previously could not.

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In 2015, Harel Weinstein’s team used the Titan supercomputer at the US Department of Energy’s (DOE’s) Oak Ridge National Laboratory (ORNL) to produce the first end-to-end simulation of a sodium ion, the fuel that powers neurotransmitter sodium symporters, moving from the synapse into the cell via the dopamine transporter (DAT), the gatekeeper for the neurotransmitter dopamine that is associated with reward-motivated behavior.

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The exascale initiative has an ambitious goal: to develop supercomputers a hundred times more powerful than today’s systems. Argonne Distinguished Fellow Paul Messina, who has been tapped to lead a DOE/NNSA project designed to pave the way, speaks on the potential for exascale and the challenges along the way.

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Click to visit the DOE Office of Science channel

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A collaboration between GE and the Oak Ridge Leadership Computing Facility (OLCF) is contributing to efficiency gains in GE’s H-class gas turbines. These are currently the world’s largest and most efficient gas turbines, capable of converting fuel and air into electricity at more than 62 percent power-plant efficiency. GE researchers recently used the OLCF's Titan supercomputer to develop advanced modeling and simulation techniques of the combustion that takes place at high temperature and pressure during gas-turbine power generation. The predictive accuracy of GE’s new simulation methods is allowing the company to evaluate more combustor design concepts within the product cycle than ever before.

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Alex Aiken, director of the new Computer Science Division at the Department of Energy's SLAC National Accelerator Laboratory, has been thinking a great deal about the coming challenges of exascale computing, defined as a billion billion calculations per second. That’s a thousand times faster than any computer today. Reaching this milestone is such a big challenge that it’s expected to take until the mid-2020s and require entirely new approaches to programming, data management and analysis, and numerous other aspects of computing.

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A New Amp for 5G Cell Phones, New Ultrasound Method to Analyze Cancer Cells, Synthetic Heart Valves, Discovery of Rules for CRISPR Advance Metabolic Engineering and more in the Engineering News Source

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