Lawrence Livermore National Laboratory (LLNL), along with partners Intel, Supermicro and Cornelis Networks, have deployed “Ruby,” a high performance computing (HPC) cluster that will perform functions for the National Nuclear Security Administration (NNSA) and support the Laboratory’s COVID-19 research.
This year marks the tenth anniversary of Globus, which launched at SC10 as the “Globus Online.” Globus has grown to become an essential service for over 150,000 thousand researchers in 80 countries and has moved over one exabyte of data and 100 billion files.
PNNL’s new Smart Power Grid Simulator, or Smart-PGsim, combines high-performance computing and artificial intelligence to optimize power grid simulations without sacrificing accuracy.
The National Science Foundation awards $22.5 million to a partnership between the Center for High Throughput Computing (CHTC) at University of Wisconsin – Madison and the Open Science Grid (OSG) to advance open science via the practice of distributed High Throughput Computing (dHTC).
Fermilab plays a key role in the Quantum Science Center, led by Oak Ridge National Laboratory. The center unites that Oak Ridge's powerhouse capabilities in supercomputing and materials science with Fermilab's world-class high-energy physics instrumentation and measurement expertise and facilities. Drawing on their experience building and operating experiments in cosmology and particle physics and in quantum information science, the Fermilab team is engaging in QSC efforts to develop novel, advanced quantum technologies.
Argonne scientists will attend the virtual SC20 conference to share research advances in areas ranging from exascale computing and big data analysis to AI and quantum computing.
Researchers from the University of Bristol’s Quantum Engineering Technology Labs (QET Labs) and Université Côte d‘Azur have made a new miniaturized light detector to measure quantum features of light in more detail than ever before. The device, made from two silicon chips working together, was used to measure the unique properties of “squeezed” quantum light at record high speeds.
ORNL story tips: Ice breaker data, bacterial breakdown, catching heat and finding order
Lawrence Livermore National Laboratory and its partners AMD, Supermicro and Cornelis Networks have installed a new high performance computing (HPC) cluster with memory and data storage capabilities optimized for data-intensive COVID-19 research and pandemic response.
As progress in traditional computing slows, new forms of computing are coming to the forefront. At Penn State, a team of engineers is attempting to pioneer a type of computing that mimics the efficiency of the brain’s neural networks while exploiting the brain’s analog nature.
PNNL researchers and university collaborators have developed a system to ferret out questionable use of high-performance computing (HPC) systems.
According to the National Oceanic and Atmospheric Administration, thousands of oil spills occur each year in the United States. Although the majority of incidents involve less than one barrel, the spills have wreaked economic and environmental devastation for decades. Researchers recently created supercomputer simulations to better understand the fate of oil droplets for effective countermeasures.
Los Alamos National Laboratory has completed the installation of a next-generation high performance computing platform, with aim to enhance its ongoing R&D efforts in support of the nation’s response to COVID-19.
As the world grapples with COVID-19, the Ebola virus is again raging. A research team at University of Delaware is using supercomputers to simulate the inner workings of Ebola (as well as COVID-19), looking at how molecules move, atom by atom, to carry out their functions. Now, they have revealed structural features of the Ebola virus’s protein shell to provide therapeutic targets to destabilize the virus and knock it out with an antiviral treatment.
Lawrence Livermore National Laboratory (LLNL) has installed a state-of-the-art artificial intelligence (AI) accelerator from SambaNova Systems, the National Nuclear Security Administration (NNSA) announced today, allowing researchers to more effectively combine AI and machine learning (ML) with complex scientific workloads.
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.
As the future home to the Aurora exascale system, Argonne National Laboratory has been ramping up efforts to ready the supercomputer and its future users for science in the exascale era.
Researchers nationwide are building the software and applications that will run on some the world’s fastest supercomputers. Among them are members of DOE’s Exascale Computing Project who recently published a paper highlighting their progress so far.
The transport of nine types of plastics floating in Lake Erie was modeled in two studies that used the Comet supercomputer at the San Diego Supercomputer Center (SDSC) to compare a two-dimensional model with a new Great Lakes microplastic dataset and then develop the first ever three-dimensional mass estimate for plastic in Lake Erie.
The annual Argonne Training Program on Extreme-Scale Computing went virtual this year, providing two weeks of instruction to ready attendees for science in the exascale era.
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