The report lays out a comprehensive vision for the DOE Office of Science and NNSA to expand their work in scientific use of AI by building on existing strengths in world-leading high performance computing systems and data infrastructure.
LLNL CTO Bronis de Supinski talks about how the Lab deploys novel architecture AI machines and provides an update on El Capitan.
Splitting memory resources in high performance computing between local nodes and a larger shared remote pool can help better support diverse applications.
Lori Diachin will take over as director of the DOE’s Exascale Computing Project on June 1, guiding the successful, multi-institutional high performance computing effort through its final stages.
Livermore CTO Bronis de Supinski joins the Let's Talk Exascale podcast to discuss the details of LLNL's upcoming exascale supercomputer.
Unique among data compressors, zfp is designed to be a compact number format for storing data arrays in-memory in compressed form while still supporting high-speed random access.
Variorum provides robust, portable interfaces that allow us to measure and optimize computation at the physical level: temperature, cycles, energy, and power. With that foundation, we can get the best possible use of our world-class computing resources.
The Lab was already using Elastic components to gather data from its HPC clusters, then investigated whether Elasticsearch and Kibana could be applied to all scanning and logging activities across the board.
The addition of the spatial data flow accelerator into LLNL’s Livermore Computing Center is part of an effort to upgrade the Lab’s cognitive simulation (CogSim) program.
The Compiler-induced Inconsistency Expression Locator tool is recognized at ISC23
Computer scientist Vanessa Sochat talks to BSSw about a recent effort to survey software developer needs at LLNL.
Supercomputers broke the exascale barrier, marking a new era in processing power, but the energy consumption of such machines cannot run rampant.
Open-source software has played a key role in paving the way for LLNL's ignition breakthrough, and will continue to help push the field forward.
While a thorough history has yet to be written of women in early computing in Livermore, their names and achievements are threaded through the archives. Here are some contributions of women who developed code during the Lab's early decades.
UCLA's Institute for Pure & Applied Mathematics hosted LLNL's Tzanio Kolev for a talk about high-order finite element methods.
UCLA's Institute for Pure & Applied Mathematics hosted LLNL's Erik Draeger for a talk about the challenges and possibilities of exascale computing.
“I am delighted to be recognized by HPCwire,” Quinn said. “I feel the recognition has as much to do with the stature of Livermore Computing as the opportunity I’ve had to contribute. "
A glimpse into the career and contributions of a computing pioneer, Robert Hughes, and his role in developing FORTRAN.
This year, the DOE honored 44 teams including LLNL's Exascale Computing Facility Modernization Project team for significant power and cooling upgrades to support upcoming exascale supercomputers.
LLNL's popular lecture series, “Science on Saturday,” runs February 4–25. The February 18 lecture is titled "Supersizing Computing: 70 Years of HPC."
Computer scientist Johannes Doerfert was recognized as a 2023 BSSw fellow. He plans to use the funding to create videos about best practices for interacting with compilers.
Collaborative autonomy software apps allow networked devices to detect, gather, identify and interpret data; defend against cyber-attacks; and continue to operate despite infiltration.
Ending with one of the most significant achievements in scientific history, 2022 will be remembered as an important year for Lawrence Livermore National Laboratory (LLNL).
ACM named LLNL’s CTO for Livermore Computing Bronis R. de Supinski as a 2022 ACM fellow, recognizing him for his contributions to the design of large-scale systems and their programming systems and software.