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

Flux

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…

RADIUSS

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…

MFEM

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.

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.

Axom

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…

ETHOS

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.

BUILD

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…

SUNDIALS

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-…

StarSapphire

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.

fpzip

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.

SAMRAI

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.

Maestro Workflow Conductor

Developing Sustainable Computational Workflows

The Maestro Workflow Conductor is a lightweight, open-source Python tool that can launch multi-step software simulation workflows in a clear, concise, consistent, and repeatable manner.

TEIMS

Taurus Environmental Information Management System

The Taurus Environmental Information Management System, or TEIMS, system manages collaborative tasks, site characterization, modeling, risk assessment, decision support, operations tracking,…

ADAPD

Advanced Data Analytics for Proliferation Detection

ADAPD—Advanced Data Analytics for Proliferation Detection—integrates subject-matter expertise from the DOE’s national laboratories to create new capabilities for analyzing growing global data…

Alkemi

Improving Simulation Workflows with Machine Learning and Big Data

Simulation workflows for Arbitrary Lagrangian–Eulerian (ALE) methods are highly complex and often require a manual tuning process. There is an urgent need to semi-automate this process to reduce…

FGPU

GPU Portability for FORTRAN Codes

FGPU provides code examples that port FORTRAN codes to run on IBM OpenPOWER platforms like LLNL's Sierra supercomputer.

HYPRE

Scalable Linear Solvers and Multigrid Methods

Livermore’s hypre library of solvers makes larger, more detailed simulations possible by solving problems faster than ever before. It offers one of the most comprehensive suites of…

Umpire

Managing Heterogeneous Memory Resources

Umpire is a resource management library that allows the discovery, provision, and management of memory on next-generation architectures.

Parallel Software Development Tools

R&D for Exascale Architectures

Users need tools that address the bottlenecks of exascale machines, work seamlessly with the programming models on the target machines, scale to the full size of the machine, provide the necessary…

Unify

Distributed Burst Buffer File System

This open-source file system framework supports hierarchical HPC storage systems by utilizing node-local burst buffers.

PRUNERS

Providing Reproducibility for Uncovering Non-Deterministic Errors in Runs on Supercomputers

The PRUNERS Toolset offers four novel debugging and testing tools to assist programmers with detecting, remediating, and preventing errors in a coordinated manner.

HPSS

High Performance Storage System

Livermore’s archive leverages a hierarchical storage management application that runs on a cluster architecture that is user-friendly, extremely scalable, and lightning fast.