In the Multiscale Machine-Learned Modeling Infrastructure (MuMMI), the macroscale simulation runs a large system, with hundreds of proteins, at low resolution and machine learning decides which regions of the macro-model require investigation in a microscale simulation at much higher resolution.
Lawrence Livermore National Laboratory’s AI Innovation Incubator (AI3) will serve as the foundation for a cohesive view of AI for Applied Science, built upon LLNL’s “cognitive simulation” approach that combines state-of-the-art AI technologies with leading-edge high performance computing.
LLNL’s formidable presence at the annual Supercomputing Conference (SC21) included leadership of the Student Cluster Competition (
Under a newly funded HPC for Manufacturing project, LLNL will partner with steel and mining company ArcelorMittal to couple computer vision and machine learning methods with HPC resources to reduce emissions and defects from inclusions in steel manufacturing.
For the first time ever, the 2021 International Conference for High Performance Computing, Networking, Storage and Analysis (SC21) went hybrid, with dozens of both in-person and virtual workshops, technical paper presentations, panels, tutorials and “birds of a feather” sessions.
A suite developed by an LLNL team to simplify evaluation of approximation techniques for scientific applications has won the first-ever Best Reproducibility Advancement Award for approximation framework at SC21.
In a project with U.S. Steel, LLNL computational physicists built models of the hot-rolling process to run on LLNL’s HPC platforms.
The DOE's Exascale Computing Project compiled a video playlist for Exascale Day on October 18 (10^18).
LLNL will lend its expertise in vaccine research—most recently from designing new antibodies and antiviral drugs for COVID-19—and computing resources to the Human Vaccines Project consortium to aid development of a universal coronavirus vaccine and improve understanding of immune response.
The renowned worldwide competition announced the winners of the 2021 R&D 100 Awards, among them LLNL's Flux workload management software framework in the Software/Services category.
To prepare for El Capitan and the next generation of supercomputers, construction crews and maintenance workers at LLNL have been hard at work since late 2019 and throughout the pandemic on a $100 million Exascale Computing Facility Modernization project.
Grand Challenge results: MSD scientist Robert Rudd contributed to a joint-research paper with Oxford University entitled “Molecular dynamics simulations of inelastic x-ray scattering from shocked copper,” which was featured on the September 2021 cover of the Journal of Applied Physics.
The second Commodity Technology Systems contract will provide at least $40 million for more than 40 petaflops (40 quadrillion floating-point operations per second) of expanded computing capacity for the NNSA Tri-Labs (LLNL, LANL and SNL).
Using the zfp open source software, researchers can vary the compression ratio to any desired setting, from 10:1 (shown on the left) to 250:1 (on the right), where compression errors become apparent.
LLNL computer scientist Ignacio Laguna and team will examine one of the major challenges as supercomputers become increasingly heterogeneous — the numerical aspects of porting scientific applications to different HPC platforms.
Lawrence Livermore National Laboratory and The Data Mine learning community at Purdue University are partnering to speed up drug design using computational tools under the Accelerating Therapeutic Opportunities in Medicine (ATOM) project.
While our world class supercomputers garner a lot of attention (we have more computers on the top 500 list as of June 2021 than any other institution!), our use of these amazing machines is enabled by the codes developed to model and simulate complex physical phenomena on massively parallel archi
A paper in the Proceedings A of the Royal Society Publishing highlights findings by a Lawrence Livermore National Laboratory team on how nuclear weapon blasts close to the Earth’s surface create complications in their effects and apparent yields. The work is featured on the front cover of the pub
In this episode, guest Nisha Mulakken sits down with TDS to discuss COVID-19 detection and analysis.
Flux’s fully hierarchical resource management and graph-based scheduling features improve the performance, portability, flexibility, and manageability of both traditional and complex scientific workflows on many types of computing systems—in the cloud, at remote locations, on a laptop, or on next
Lawrence Livermore will participate in the ISC High Performance Conference (ISC21) on June 24 through July 2. The online event brings together the HPC community—from research centers, commercial companies, academia, national laboratories, government agencies, exhibitors, and more—to share the latest technology of interest to HPC developers and users.
The DOE’s Exascale Computing Project (ECP) is accelerating delivery of a capable exascale computing ecosystem to provide breakthrough modeling and simulation solutions to address critical challenges in scientific discovery, energy assurance, economic competitiveness, and national security.
LLNL, IBM and Red Hat are combining forces to develop best practices for interfacing HPC schedulers and cloud orchestrators, an effort designed to prepare for emerging supercomputers that take advantage of cloud technologies.
The high performance computing industry publication HPCwire named Bronis R. de Supinski, Lawrence Livermore National Laboratory’s chief technology officer for Livermore Computing, as one of its People to Watch for 2021.
COVID-19 HPC Consortium scientists and stakeholders met virtually on March 23 to mark the consortium’s one-year anniversary.