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


GPU Portability for FORTRAN Codes

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


First-Principles Molecular Dynamics

O(N) Complexity Algorithm

LLNL researchers are developing a truly scalable first-principles molecular dynamics algorithm with O(N) complexity and controllable accuracy, capable of simulating systems of sizes that were…

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.


Building a Framework for Resource Management

Livermore researchers have developed a toolset for solving data center bottlenecks. Flux offers a framework that enables new resource types, schedulers, and framework services to be deployed as…


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.



Laser Grating Simulation

The code GEFIE-QUAD (gratings electric field integral equation on quadrilateral grids) is a first-principles simulation method to model the interaction of laser light with diffraction…


Finite Element Visualization

GLVis is a lightweight OpenGL-based tool for accurate and flexible finite element visualization. It is based on MFEM, a finite element…



Improving Efficiency and Robustness of the U.S. Electrical Power Grid using HPC

In response to a DOE grid optimization challenge, the LLNL-led gollnlp team is developing the mathematical, computational, and software components needed to solve problems of the real-world power…



Emulating Exascale Conditions on Today's Platforms

To overcome the shortcomings of the analytical and architectural approaches to performance modeling and evaluation, we are developing techniques that emulate the behavior of anticipated future…



Predictive Vascular Modeling of Blood Flow in Patient-Specific Geometries

Livermore researchers are enhancing HARVEY, an open-source parallel fluid dynamics application designed to model blood flow in patient-specific geometries.

High-Order Finite Volume Methods

Tackling Phase Space Problems in Complex Geometries

High-resolution finite volume methods are being developed for solving problems in complex phase space geometries, motivated by kinetic models of fusion plasmas.

HPC Code Performance

Challenges and Solutions

LLNL researchers are finding some factors are more important in determining HPC application performance than traditionally thought.


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.


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…



Lossless Compression of Meshes

hzip 1.0.1 is a C++ library for lossless compression of structured and unstructured meshes composed of cells with hypercube topology.


Improving Communications for Large-Scale Computing

Livermore Computing staff is enhancing the high-speed InfiniBand data network used in many of its high performance computing and file systems.


Interconnection Networks

Topology-Aware Task Mapping

As supercomputing power increases, the cost of communicating data both on- and off-node has become a critical factor affecting the overall performance of a parallel application. Livermore's…


Power Measurement

libMSR provides a convenient interface to access Model Specific Registers and to allow tools to utilize their full functionality.


POD-Based Reduced Order Modeling

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


Livermore Metagenomics Analysis Toolkit

The Livermore Metagenomic Analysis Toolkit (LMAT) is a genome sequencing technology that helps accelerate the comparison of genetic fragments with reference genomes and improve the accuracy of the…



Locality-Optimizing Caching Algorithms and Layouts

The sheer size of data poses significant problems in all stages of the visualization pipeline, from offline pre-processing of simulation data, to interactive queries, to real-time rendering.…

Machine Learning

Strengthening Performance Predictions

LLNL computer scientists use machine learning to model and characterize the performance and ultimately accelerate the development of adaptive applications.


Enterprise Management for macOS Systems

MacPatch provides LLNL with enterprise system management for desktop and laptop computers running Mac OS X.

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.