Our research projects vary in size, scope, and duration, but they share a focus on developing tools and methods that help LLNL deliver on its missions to the nation and, more broadly, advance the state of the art in scientific HPC. Projects are organized here in three ways: Active projects are those currently funded and regularly updated. Legacy projects are no longer actively developed. The A-Z option sorts all projects alphabetically, both active and legacy.
A high-fidelity, specialized code solves partial differential equations for plasma simulations.
The Enabling Technologies for High-Order Simulations (ETHOS) project performs research of fundamental mathematical technologies for next-generation high-order simulations algorithms.
LC’s adaptation of OpenZFS software provides high performance parallel file systems with better performance and scalability.
LLNL is home to the world’s largest Spectra TFinityTM system, which offers the speed, agility, and capacity required to take LLNL into the exascale era.
Floating Point Compression
High-precision numerical data from computer simulations, observations, and experiments is often represented in floating point and can easily reach terabytes to petabytes of storage.
The open-source MFEM library enables application scientists to quickly prototype parallel physics application codes based on PDEs discretized with high-order finite elements.
This project solves initial value problems for ODE systems, sensitivity analysis capabilities, additive Runge-Kutta methods, DAE systems, and nonlinear algebraic systems.
This 2021 R&D 100 award-winning software solves data center bottlenecks by enabling resource types, schedulers, and framework services to be deployed as data centers evolve.
The Earth System Grid Federation is a web-based tool set that powers most global climate change research.
Livermore builds an open-source community around its award-winning HPC package manager.
zfp is an open-source C/C++ library for compressed floating-point and integer arrays that support high throughput read and write random access.
The latest generation of a laser beam–delay technique owes its success to collaboration, dedication, and innovation.
Livermore’s archive leverages a hierarchical storage management application that runs on a cluster architecture that is user-friendly, extremely scalable, and lightning fast.
Automated Testing System
LLNL’s Python 3–based ATS tool provides scientific code teams with automated regression testing across HPC architectures.
The RADIUSS project aims to lower cost and improve agility by encouraging adoption of our core open-source software products for use in institutional applications.
The Software Development Resource Center connects developers across LLNL through best practices in software tools, development methodologies, DevOps, security compliance, and more.
One of the most widely used tactical simulations in the world, JCATS is installed in hundreds of U.S. military and civilian organizations, in NATO, and in more than 30 countries.
From molecular screening, a software platform, and an online data to the computing systems that power these projects.
LivIT tackles challenges of workforce safety, telecommuting, cyber security protocols, National Ignition Facility software updates, and more.
The Livermore Information Technology (LivIT) program is the first organization at LLNL to commit to migrating all services and applications to the Amazon Web Services cloud.
Deterrence in Cyberspace
LLNL’s cyber programs work across a broad sponsor space to develop technologies addressing sophisticated cyber threats directed at national security and civilian critical infrastructure.
This project advances research in physics-informed ML, invests in validated and explainable ML, creates an advanced data environment, builds ML expertise across the complex, and more.
Innovative HPC Architectures
LC sited two different AI accelerators in 2020: the Cerebras wafer-scale AI engine attached to Lassen; and an AI accelerator from SambaNova Systems into the Corona cluster.
Upgraded with the C++ programming language, VBL provides high-fidelity models and high-resolution calculations of laser performance predictions.