LLNL is participating in the 35th annual Supercomputing Conference (SC23), which will be held both virtually and in Denver on November 12–17, 2023.
Topic: HPC Systems and Software
Merlin is an open-source workflow orchestration and coordination tool that makes it easy to build, run, and process large-scale workflows.
Over several years, teams have prepared the infrastructure for El Capitan, designing and building the computing facility’s upgrades for power and cooling, installing storage and compute components and connecting everything together. Once all the pieces are in place, the life of El Cap as world-class supercomputer begins.
Alpine/ZFP addresses analysis, visualization, data reduction needs for exascale science applications
The Data and Visualization efforts in the DOE’s Exascale Computing Project provide an ecosystem of capabilities for data management, analysis, lossy compression, and visualization.
Quandary is an open-source C++ package for optimal control of quantum systems on classical high performance computing platforms.
Tammy Dahlgren has worked on a diverse variety of projects at the Lab, including supervisory control systems for the National Ignition Facility, animal disease modeling, mass hierarchical storage systems, RADIUSS, and more.
The Center for Efficient Exascale Discretizations has developed innovative mathematical algorithms for the DOE’s next generation of supercomputers.
Hosted at LLNL, the Center for Efficient Exascale Discretizations’ annual event featured breakout discussions, more than two dozen speakers, and an evening of bocce ball.
With this year’s results, the Lab has now collected a total of 179 R&D 100 awards since 1978. The awards will be showcased at the 61st R&D 100 black-tie awards gala on Nov. 16 in San Diego.
A team from LLNL and seven other DOE labs is a finalist for the new ACM Gordon Bell Prize for Climate Modeling for running an unprecedented high-resolution global atmosphere model on the world’s first exascale supercomputer.
LLNL's Ian Lee joins a Dots and Bridges panel to discuss HPC as a critical resource for data assimilation and numerical weather prediction research.
LLNL's zfp and Variorum software projects are winners. LLNL is a co-developing organization on the winning CANDLE project.
Siting a supercomputer requires close coordination of hardware, software, applications, and Livermore Computing facilities.
Flux, next-generation resource and job management software, steps up to support emerging use cases.
The Tri-Lab Operating System Stack (TOSS) ensures other national labs’ supercomputing needs are met.
Livermore Computing is making significant progress toward siting the NNSA’s first exascale supercomputer.
Innovative hardware provides near-node local storage alongside large-capacity storage.
A Laboratory-developed software package management tool, enhanced by contributions from more than 1,000 users, supports the high performance computing community.
Livermore builds an open-source community around its award-winning HPC package manager.
Learn how to use LLNL software in the cloud. Throughout August, join our tutorials on how to install and use several projects on AWS EC2 instances. No previous experience necessary.
Anna Maria Bailey, LLNL’s Chief Engineer for HPC and a Distinguished Member of Technical Staff, has enjoyed her “many careers” at the Lab and the ability to jump around to follow her interests.
A research team from Oak Ridge and Lawrence Livermore national labs won the first IPDPS Best Open-Source Contribution Award for the paper “UnifyFS: A User-level Shared File System for Unified Access to Distributed Local Storage.”
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.
As CTO of Livermore Computing, de Supinski is responsible for formulating, overseeing, and implementing LLNL’s large-scale computing strategy, requiring managing multiple collaborations with the HPC industry and academia.