At SC25, LLNL earned multiple top honors across exascale computing, open-source software and real-world scientific applications, receiving four 2025 HPCwire awards and a Hyperion Research HPC Innovation Excellence Award.
Topic: Events
Join LLNL at the 39th annual Conference on Neural Information Processing Systems on December 2–7.
Four Laboratory early-career researchers presented their work at this year’s Federal Energy Regulatory Commission conference.
LLNL is participating in the 37th annual Supercomputing Conference (SC25) in St. Louis on November 16–21, 2025.
Five years strong, the MFEM workshop fosters connection and collaboration among the computational math community.
LLNL researchers have posters and workshop papers accepted to the 42nd International Conference on Machine Learning on July 13–19.
Nicknamed SUM25, Spack’s first user meeting showcased new development and a thriving community.
Learn how to use a modern, open-source HPC software stack! From mid-July to mid-September, join our tutorials on how to install and use several projects on AWS EC2 instances (provided). All experience levels are welcome.
LLNL participates in the ISC High Performance Conference (ISC24) on June 10–13.
Wright’s day-long visit—his first to LLNL since being appointed Energy secretary—included behind-the-scenes tours of some of LLNL’s most advanced facilities and machines, from the National Ignition Facility to El Capitan, the world’s most powerful supercomputer.
Wright’s daylong visit included briefings and discussions with LLNL experts in key mission areas including stockpile modernization, fusion energy, AI, cyber security and supercomputing.
LLNL researchers have posters and workshop papers accepted to the 13th International Conference on Learning Representations on April 24–28.
More than 3,200 LLNL employees participated in the first-ever aiEDGE for Innovation Day on March 26—an event aimed at empowering and equipping the Lab’s workforce to integrate AI into their daily work.
The February 28 event brought together over 1,400 Department of Energy scientists across multiple sites to explore how cutting-edge AI models could transform scientific research.
Hundreds of current and former LLNL employees, government officials, and industry leaders gathered on January 9 to mark a monumental achievement: the dedication of El Capitan, the world’s fastest supercomputer.
The event marked a monumental achievement with the acceptance and deployment of the first exascale computing system built for the NNSA, a historic milestone in national security and scientific computing recognizing the collaborative efforts of government, industry and scientific leaders.
Beyond the El Capitan headlines, SC24 provided an opportunity for Livermore staff to reach the international HPC community.
High school students from Livermore and Tracy recently visited LLNL bringing participants from the two cities’ Girls Who Code programs together on-site for group activities and tours.
SC24, held recently in Atlanta, was a landmark event, setting new records and demonstrating LLNL's unparalleled contributions to HPC innovation and impact.
Drawing more than 300 attendees, this year’s “D3” workshop focused on tackling pressing data challenges in nuclear security, energy and collaborative scientific discovery, and featured a host of talks, presentations and panels.
Held for the first time in a hybrid format, the multi-day MFEM workshop drew participants from around the globe.
LLNL is participating in the 36th annual Supercomputing Conference (SC24) in Atlanta on November 17–22, 2024.
The event attracted more than 60 attendees from diverse sectors and featured discussions aimed at fostering new collaborations with various DOE offices and national labs.
Held May 7–8 in Washington, DC, the Special Competitive Studies Project (SCSP) AI Expo showcased groundbreaking initiatives in AI and emerging technologies. Kim Budil and other Lab speakers presented at center stage and the DOE exhibition booth.
Learn how to use a modern, open-source HPC software stack! Throughout August, join our tutorials on how to install and use several projects on AWS EC2 instances. No previous experience is necessary, and everyone is welcome.
