AMS is a machine learning solution embedded into scientific applications to automatically replace fine-scale simulations with ancillary models.

Specialized hardware modules and software libraries to optimize memory access while simultaneously increasing memory capacity for data-intensive applications.

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

Collecting variants in low-level hardware features across multiple GPU and CPU architectures.

With SCR, jobs run more efficiently, recover more work upon failure, and reduce load on critical shared resources.

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

UMap uniquely exploits the prominent role of complex memories in today’s servers and offers new capabilities to directly access large memory-mapped datasets.

This open-source file system framework accelerates hierarchical HPC I/O operations with effective, efficient use of node-local storage.

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

Merlin is an open-source workflow orchestration and coordination tool that makes it easy to build, run, and process large-scale workflows.

Quandary is an open-source C++ package for optimal control of quantum systems on classical high performance computing platforms.

Livermore builds an open-source community around its award-winning HPC package manager.

Responding to a DOE grid optimization challenge, an LLNL-led team developed the mathematical, computational, and software components needed to solve problems of the real-world power grid.

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

LC’s adaptation of OpenZFS software provides high performance parallel file systems with better performance and scalability.

A high-fidelity, specialized code solves partial differential equations for plasma simulations.

LLNL is home to the world’s largest Spectra TFinity^TM system, which offers the speed, agility, and capacity required to take LLNL into the exascale era.

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.

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.

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.

LLNL’s Python 3–based ATS tool provides scientific code teams with automated regression testing across HPC architectures.