ASC’s Advanced Memory Technology research projects are developing technologies that will impact future computer system architectures for complex modeling and simulation workloads.
Combining specialized software tools with heterogeneous HPC hardware requires an intelligent workflow performance optimization strategy.
The 2022 International Conference for High Performance Computing, Networking, Storage, and Analysis (SC22) returned to Dallas as a large contingent of LLNL staff participated in sessions, panels, paper presentations and workshops centered around HPC.
In this issue: MFEM community workshops, compiler co-design, HPC standards committees, and AI/ML for national security
The award recognizes progress in the team's ML-based approach to modeling ICF experiments, which has led to the creation of faster and more accurate models of ICF implosions.
The second annual MFEM workshop brought together the project’s global user and developer community for technical talks, Q&A, and more.
The prestigious award is handed out every two years and recognizes outstanding contributions to the development and use of mathematical and computational tools and methods for the solution of science and engineering problems.
The latest issue of Science & Technology Review highlights the R&D 100 award–winning Flux software framework.
Science & Technology Review highlights the Exascale Computing Facility Modernization project that delivered the infrastructure required to bring exascale computing online in 2023.
Two LLNL-led teams received SciVis Test of Time awards at the 2022 IEEE VIS conference for papers that have achieved lasting relevancy in the field of scientific visualization.
Researchers are starting a three-year project aimed at improving methods for visual analysis of large heterogeneous data sets as part of a recent DOE funding opportunity.
While LLNL awaits the arrival of El Capitan, physicists and computer scientists running scientific applications on testbeds are getting a taste of what to expect.
Employees gathered for the Lab’s first-ever Employee Engagement Day, held Oct. 11. The event featured food, drink, informative displays, historical films and more.
Climate change can bring not only heat, but also increased humidity, reducing the efficiency of the evaporative coolers many HPC centers rely on.
Researchers will address the challenge of efficiently differentiating large-scale applications for the DOE by building on advances in LLNL’s MFEM finite element library and MIT’s Enzyme AD tool.
The Earth System Grid Federation, a multi-agency initiative that gathers and distributes data for top-tier projections of the Earth’s climate, is preparing a series of upgrades to make using the data easier and faster while improving how the information is curated.
Preparing the Livermore Computing Center for El Capitan and the exascale era of supercomputers required an entirely new way of thinking about the facility’s mechanical and electrical capabilities.
The second article in a series about the Lab's stockpile stewardship mission highlights computational models, parallel architectures, and data science techniques.
The first article in a series about the Lab's stockpile stewardship mission highlights the roles of computer simulations and exascale computing.
The new oneAPI Center of Excellence will involve the Center for Applied Scientific Computing and accelerate ZFP compression software to advance exascale computing.
The Advanced Technology Development and Mitigation program within the Exascale Computing Project shows that the best way to support the mission is through open collaboration and a sustainable software infrastructure.
LLNL has signed a memorandum of understanding with HPC facilities in Germany, the United Kingdom, and the U.S., jointly forming the International Association of Supercomputing Centers.
LLNL's Greg Becker spoke with HPC Tech Shorts to explain how Spack's binary cache works. The video “Get your HPC codes installed and running in minutes using Spack’s Binary Cache” runs 15:11.
Computer scientist Kathryn Mohror is among LLNL's recipients of the Department of Energy’s Early Career Research Program awards.
Learn how to use LLNL software in the cloud. In August, we will host tutorials in collaboration with AWS on how to install and use these projects on AWS EC2 instances. No previous experience necessary.