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.

Active | A-Z | Legacy

COVID-19 Operations

LivIT and NIF Support

LivIT tackles challenges of workforce safety, telecommuting, cybersecurity protocols, National Ignition Facility software updates, and more.


Computing Responds to Pandemic

From molecular screening, a software platform, and an online data to the computing systems that power these projects.


Migrating Data and Services to the AWS Cloud

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

Defending Our Critical Infrastructure

LLNL’s cyber programs work across a broad sponsor space to develop technologies that address the most sophisticated cyber threats directed at disrupting our national security communities and…


SUite of Nonlinear and DIfferential/ALgebraic Equation Solvers

SUNDIALS is a SUite of Nonlinear and DIfferential/ALgebraic equation Solvers for initial value problems for ordinary differential equation systems, sensitivity analysis capabilities, additive Runge-…

Ascending to Exascale

LLNL Prepares for El Capitan

When El Capitan comes online in 2023, it will have a peak performance of more than 2 exaflops (2 quintillion calculations per second)—roughly 16 times faster on average than the Sierra system—and…

Exascale Archiving

Massive-Scale Tape Libraries

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.

Innovative HPC Architectures

Mission-Driven Science

LC sited two different AI accelerators at LLNL in 2020: the Cerebras wafer-scale AI engine attached to Lassen; and an AI accelerator from SambaNova Systems into the Corona supercomputing cluster…


Multiphysics Simulations for the Exascale Era

Multiphysics simulation codes must perform at scale on present and future massively parallel supercomputers, be adaptable and extendable, be sustainable across multiple generations of hardware,…


Virtual Beamline Code

Upgraded with the C++ programming language, VBL provides high-fidelity models and high-resolution calculations of laser performance predictions.


Creating Machine Learning Tools to Optimize Design Simulations

The Vidya project is a portfolio of research efforts to advance research in physics-informed ML, improve employment of ML with sparse data, invest in validated and explainable ML, explore learning…


POD-Based Reduced Order Modeling

libROM is a library designed to facilitate Proper Orthogonal Decomposition (POD) based Reduced Order Modeling (ROM).


Scalable Finite Element Discretization Library

The open-source MFEM library enables application scientists to quickly prototype parallel physics application codes based on PDEs discretized with high-order finite elements.


Building a Framework for Resource Management

Livermore researchers have developed a toolset for solving data center bottlenecks. The 2021 R&D 100 award-winning Flux software offers a framework that enables new resource types, schedulers…


Rapid Application Development via an Institutional Universal Software Stack

The RADIUSS (Rapid Application Development via an Institutional Universal Software Stack) project aims to lower cost and improve agility by encouraging adoption of our core open-source software…

RAJA Portability Suite

Enabling Performance Portable CPU and GPU HPC Applications

A Livermore-developed programming approach helps software to run on different platforms without major disruption to the source code.


Providing Shared Computer Science Infrastructure to HPC Applications

Supported by the Advanced Simulation and Computing program, the open-source Axom project focuses on developing software infrastructure components that can be shared by HPC applications running on…


Enabling Technologies for High-Order Simulations

The Enabling Technologies for High-Order Simulations (ETHOS) project performs research of fundamental mathematical technologies for next-generation high-order simulations algorithms.


Solving the Software Complexity Puzzle

This project aims to tackle the complexities of HPC software integration with dependency compatibility models, binary analysis tools, efficient logic solvers, and configuration optimization…


Data-Driven Modeling and Analysis

StarSapphire is a collection of scientific data mining projects focusing on the analysis of data from scientific simulations, observations, and experiments.

ASC Proxy Apps

Prepare for Testing and Porting Applications

Proxy apps serve as specific targets for testing and simulation without the time, effort, and expertise that porting or changing most production codes would require.

Floating Point Compression

Lossless and Lossy Solutions

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.


Compressed Large Multidimensional Floating-Point Arrays

fpzip is a library for lossless or lossy compression of multidimensional floating-point arrays. It was primarily designed for lossless compression.


Structured Adaptive Mesh Refinement Application Infrastructure

The SAMRAI library is the code base in CASC for exploring application, numerical, parallel computing, and software issues associated with structured adaptive mesh refinement.