The BISICLES ice sheet model uses high performance computing resources at the National Energy Research Scientific Computing Center (NERSC) to systematically examine where the Antarctic Ice Sheet is vulnerable and the resulting potential for large contributions to sea level rise.
To function properly, proteins must morph into specific 3D shapes through a biophysical phenomenon called protein folding. Researchers at ORNL are using various deep-learning techniques to study the intermediate protein stages between the initial unfolded state and the final folded state, which are notoriously difficult to characterize. These methods could also help identify factors that cause proteins to “misfold” into dysfunctional shapes, a phenomenon often attributed as a leading factor in the development of diseases including Alzheimer’s, cardiovascular disorders, and diabetes.
The San Diego Supercomputer Center (SDSC) at UC San Diego, and Sylabs.io recently hosted the first-ever Singularity User Group meeting, attracting users and developers from around the nation and beyond who wanted to learn more about the latest developments in an open source project known as Singularity.
Globus, the leading research data management service, today announced the lineup of speakers for its eighth annual user conference, GlobusWorld 2019, held this year on May 1-2, 2019 in Chicago, IL.
Scientists at the U.S. Department of Energy’s (DOE) Argonne National Laboratory converted 1,000 pages of CENTCOM military information into a 3D digital visualization that allows users to immerse themselves in the data using virtual reality (VR) headsets, discovering relationships and highlights by wandering through a simulated physical space.
A new distributed file system for high-performance computing being distributed today via the software collaboration site GitHub provides unprecedented performance for creating, updating and managing extreme numbers of files.
An international collaboration including scientists at the Department of Energy’s Oak Ridge National Laboratory solved a 50-year-old puzzle that explains why beta decays of atomic nuclei are slower than what is expected based on the beta decays of free neutrons. The findings, published in Nature Physics, fill a longstanding gap in physicists’ understanding of beta decay, an important process stars use to create heavier elements, and emphasize the need to include subtle effects—or more realistic physics—when predicting certain nuclear processes.
ORNL neutrons investigate novel carbon capture crystals; gleaning valuable Twitter data to quickly map power outages; lightweight, heat-shielding graphite foam test yields positive results in fusion reactors; open source software scales up analysis of motor designs to run on supercomputers
The Paesani Research Group works to collect data on the properties of materials like water, apply it to machine learning, optimize the material through modifications based on simulations and then synthesize an ideal material that could be used, for example, to extract water from the atmosphere.
The next big supercomputer is out for bid. A "request for proposal," or RFP, for Crossroads, a high-performance computer that will support the nation’s Stockpile Stewardship Program, was released today.
An international research team has shown that when galaxies assemble extremely rapidly -- and sometimes violently -- that can lead to the formation of very massive black holes. In these rare galaxies, normal star formation is disrupted and black hole formation takes over.
A recently published study by an international team of researchers has shed new light on how and why a particular type of sea fog forms, using detailed supercomputer simulations to provide more accurate predictions of its occurrence and patterns to help reduce the number of maritime mishaps.
Raffaele Miceli has been interning on and off at the U.S. Department of Energy’s (DOE) Brookhaven National Laboratory over the course of nearly eight years, most recently tackling problems of quantum systems. Under the supervision of his mentor, Michael McGuigan of the Computational Science Initiative (CSI), Miceli has been creating plots and figures to help communicate the results of complex calculations — a task called data visualization.
ORNL story tips: Automated pellet press speeds production of Pu-238 to fuel NASA’s deep space exploration; new memory cell circuit design may boost storage with less energy in exascale, quantum computing; free app eases installation, repair of HVAC systems that use low GWP refrigerants; and more.
Trestles, which was acquired more than three years ago by the Arkansas High Performance Computing Center (AHPCC) at the University of Arkansas after entering service at the San Diego Supercomputer Center in mid-2011, is still serving researchers despite many supercomputers having a useful life of only three to five years.
Previously intractable problems for designing fusion experiments, improving weather models, and understanding astrophysical phenomena such as star formation will be more easily addressed without the need for expensive supercomputers using a new model identified at the University of Wisconsin–Madison.
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.
Every year, three to five million people around the world suffer from severe illness caused by influenza, primarily during the months of November through March. Now a new study by researchers from several universities including UC San Diego, published earlier this month in ACS Central Science, suggests a novel approach for combatting this sometimes deadly virus.
Two U.S. Department of Energy (DOE) National Laboratories were recently awarded the 2018 Association for Computing Machinery’s (ACM’s) Gordon Bell Prize.
DOE researchers have won 32 of the R&D 100 awards given out this year by R&D Magazine. The annual awards are given in recognition of exceptional new products or processes that were developed and introduced into the marketplace during the previous year.
To leverage emerging computing capabilities and prepare for future exascale systems, the Argonne Leadership Computing Facility, a DOE Office of Science User Facility, is expanding its scope beyond traditional simulation-based research to include data science and machine learning approaches.
The San Diego Supercomputer Center (SDSC) at the University of California San Diego has received two key HPCwire annual awards for 2018, recognizing the use of its Comet supercomputer in assisting scientists in finding the first evidence of a source of high-energy cosmic neutrinos, and for Comet’s role in a recent autism study led by a team of researchers at the university’s School of Medicine.
The high performance computing publication HPCwire handed Lawrence Livermore Laboratory (LLNL) and Oak Ridge National Laboratory (ORNL) their Editors’ Choice and Readers’ Choice Awards for the Top Supercomputing Achievement of 2018, recognizing the launch of the world’s two fastest computing systems, Sierra and Summit.
Sierra, Lawrence Livermore National Laboratory’s newest supercomputer, rose to second place on the list of the world’s fastest computing systems, TOP500 List representatives announced Monday at the International Conference for High Performance Computing, Networking, Storage and Analysis conference (SC18) in Dallas.
Mark Palmer, the director of the Department of Energy’s Accelerator Test Facility (ATF), adapts to challenging situations in the same way that the ATF can adapt to users’ needs. Researchers at the ATF work to make particle accelerators smaller, more powerful, and more cost-efficient.
Argonne’s expertise and leadership in extreme-scale computing will again be on display at the annual International Conference for High-Performance Computing, Networking, Storage and Analysis (SC18).
In a drive to significantly boost usable operations per watt, per dollar and per development hour for extreme-scale computing, Los Alamos National Laboratory is running classified simulation codes in support of the National Nuclear Security Administration’s Stockpile Stewardship Program on the new Cray® XC50™ system with Marvell® ThunderX2® processors.
Imagine building a machine so advanced and precise you need a supercomputer to help design it. That’s exactly what scientists and engineers in Germany did when building the Wendelstein 7-X experiment.
The Department of Energy’s National Nuclear Security Administration (NNSA), Lawrence Livermore National Laboratory (LLNL) and its industry partners today officially unveiled Sierra, one of the world’s fastest supercomputers, at a dedication ceremony to celebrate the system’s completion.
Caliburn, a supercomputer with the computational power of more than 10,000 standard desktop computers, is catalyzing diverse, innovative research at Rutgers University and across New Jersey, according to the Rutgers Discovery Informatics Institute.
Scientists at Lawrence Livermore National Laboratory have shown that the structure of microscopic pores in high explosive materials can significantly impact performance and safety. These findings open the door to the possibility of tuning high explosives by engineering their microstructure.
A team of computational scientists from Berkeley Lab and Oak Ridge National Laboratory and engineers from NVIDIA has demonstrated an exascale-class deep learning application that exceeded the exaop barrier, using a climate dataset from Berkeley Lab on ORNL's Summit supercomputer.
The Center for Large Scale Data Systems (CLDS) at the San Diego Supercomputer Center, UC San Diego, formally opened a new blockchain research laboratory to exploring technologies and business use cases in distributed ledgers, digital transactions, and smart contracts.
Using synthesis techniques, an ORNL team transformed waste sugar from biorefineries into spherical carbon materials that could be used to form improved supercapacitors, which are energy storage devices that help power technologies including smartphones, hybrid vehicles, and security alarm systems.
Researchers at the San Diego Supercomputer Center (SDSC), an Organized Research Unit of UC San Diego, have been awarded a three-year National Science Foundation (NSF) grant worth more than $818,000 to design and develop cyberinfrastructure that allows researchers to efficiently share information about their scientific data and securely verify its authenticity while preserving provenance and lineage information.
The CodeGirls @ Argonne camp is designed to immerse young girls in computer science before they enter high school and introduce them to potential career paths in science, technology, engineering and mathematics (STEM). Researchers from across the laboratory help the camp bring computer science to a population that’s often underrepresented in the field.
The National Science Foundation (NSF) has awarded the San Diego Supercomputer Center (SDSC) at UC San Diego a supplemental grant valued at almost $2.4 million to extend operations of its Comet supercomputer by an additional year, through March 2021. The extension brings the value of the total Comet program to more than $27 million.
The U.S. Department of Energy announced $10 million in funding for 13 projects that will enhance sophisticated computer models for understanding weather and climate patterns.
IT experts at Monash University have devised the world’s leading post-quantum secure privacy-preserving algorithm – so powerful it can thwart attacks from supercomputers of the future.
The Department of Energy has developed a new computer simulation capability: the Energy Exascale Earth System Model. Scientists designed the model to focus on areas most relevant to energy production as well as take full advantage of DOE’s supercomputing systems.
An international team of scientists has found the first evidence of a source of high-energy cosmic neutrinos, subatomic particles that can emerge from their sources and, like cosmological ghosts, pass through the universe unscathed, traveling for billions of light years from the most extreme environments in the universe to Earth.
Through a new multi-year project involving the Department of Energy’s (DOE) Lawrence Livermore (LLNL), Lawrence Berkeley (LBNL) and Argonne (ANL) national laboratories, in collaboration with the Transforming Research and Clinical Knowledge in Traumatic Brain Injury (TRACK-TBI) consortium led by the University of California, San Francisco (UCSF), scientists and engineers plan to simultaneously challenge DOE’s supercomputing resources, advance artificial intelligence capabilities and enable a precision medicine approach for traumatic brain injury (TBI).
PET plastic, short for polyethylene terephthalate, is the fourth most-produced plastic, used to make things such as beverage bottles and carpets, most of which are not being recycled. Some scientists are hoping to change that, using supercomputers to engineer an enzyme that breaks down PET. They say it's a step on a long road toward recycling PET and other plastics into commercially valuable materials at industrial scale.
A team from Lawrence Berkeley National Laboratory (Berkeley Lab) and Lawrence Livermore National Laboratory, both U.S. Department of Energy (DOE) national labs, is leveraging powerful supercomputers to portray the impact of high-frequency ground motion on thousands of representative different-sized buildings spread out across the California region.
Supercomputers have the power to unlock the secrets of subatomic particles that are hidden deep inside everyday matter. But they can’t do it on their own: They require experts to use their knowledge of the theory subatomic to set up the problems to be calculated and provide insight into the results.
Raul Briceño has been awarded a DOE Early Career Award to do just that, as he develops and implements a first-of-its-kind universal framework for these studies.