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

VBL++

Virtual Beamline Code

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

Legacy

Veritas

Validating Proxy Apps

Veritas provides a method for validating proxy applications to ensure that they capture the intended characteristics of their parents.

Vidya

Creating Machine Learning Tools to Optimize Design Simulations

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.

Legacy

VPC

Variable Precision Computing

Researchers develop innovative data representations and algorithms to provide faster, more efficient ways to preserve information encoded in data.

XBraid

Parallel Time Integration with Multigrid

This project constructs coarse time grids and uses each solution to improve the next finer-scale solution, simultaneously updating a solution guess over the entire space-time domain.

zfp

Compressed Floating-Point and Integer Arrays

zfp is an open-source C/C++ library for compressed floating-point and integer arrays that support high throughput read and write random access.

ZFS

Improving Lustre Efficiency

Computer scientists are incorporating ZFS into their high performance parallel file systems for better performance and scalability.