Image
SC23 logo

LLNL is participating in the 35th annual Supercomputing Conference (SC23), which will be held both virtually and in Denver on November 12–17, 2023.

Image
Diagram of ECP data and visualization products

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.

Image
A group photo of the CEED members present at CEED7AM

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.

Image
A simulation created by CEED

The Center for Efficient Exascale Discretizations has developed innovative mathematical algorithms for the DOE’s next generation of supercomputers.

Image
2023 R&D 100 Winner Logo

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.

Image
The climate model eligible for a Gordon Bell award

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. 

Image
Ian Lee on a Dots & Bridges panel

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.

Image
An additive manufactured cutting tool for precision machining

LLNL's zfp and Variorum software projects are winners. LLNL is a co-developing organization on the winning CANDLE project.

Image
El Capitan being assembled

Siting a supercomputer requires close coordination of hardware, software, applications, and Livermore Computing facilities.

Image
An LLNL group responsible for work on El Capitan

Flux, next-generation resource and job management software, steps up to support emerging use cases.

Image
A group of people standing in front of El Capitan

The Tri-Lab Operating System Stack (TOSS) ensures other national labs’ supercomputing needs are met.

Image
A picture of El Capitan with the mural facing outwards

Livermore Computing is making significant progress toward siting the NNSA’s first exascale supercomputer.

Image
A Rabbit Node

Innovative hardware provides near-node local storage alongside large-capacity storage.

Image
A stock image of a terminal and several icons

A Laboratory-developed software package management tool, enhanced by contributions from more than 1,000 users, supports the high performance computing community.

Image
A map of America indicating locations from high risk to low risk

LLNL researchers ran HiOp, an open-source optimization solver, on 9,000 nodes of Oak Ridge National Laboratory’s Frontier exascale supercomputer in the largest simulation of its kind to date.

Image
A set of images, with the original on the left, and the AI-enhanced version on the right

 

Using explainable artificial intelligence techniques can help increase the reach of machine learning applications in materials science, making the process of designing new materials much more efficient.

Image
A world map overlayed with thermal imaging

The Lab’s workhorse visualization tool provides expanded color map features, including for visually impaired users.

Image
An online tutorial being given in a classroom

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.

Image
Three people working together during Developer Day

2023’s Developer Day was a two-day event for the first time, balancing an all-virtual technical program with a fully in-person networking day.

 

Image
The award-winning research team standing in front of the Frontier supercomputer

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.”

Image
The thumbnail for the report on Summer 2022 Workshops

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.

Image
A picture of El Capitan

LLNL CTO Bronis de Supinski talks about how the Lab deploys novel architecture AI machines and provides an update on El Capitan.

Image
An award being presented at ISC23

Splitting memory resources in high performance computing between local nodes and a larger shared remote pool can help better support diverse applications.

 

Image
An image of Lori Diachin, with text announcing her as the DOE Exascale Computing Project Director

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.

Image
A simulated image with the caption, "zfp: Compressed Floating-Point and Integer Arrays"

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.