Computing at LLNL
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At a Glance

Discovery science and technical innovation

Computing at LLNL advances scientific discovery through foundational and innovative research; mission-driven data science; complex modeling, simulation, and analysis on powerful supercomputers; and creative technologies and software solutions. Everything at Livermore is Team Science. Thus, Computing is at the heart of many of LLNL’s most compelling national security and scientific efforts:

  • Operating one of the world’s largest HPC data centers
  • Designing AI and machine learning algorithms for science-based pattern discovery
  • Driving advances in simulation, scalable visualization, and data management
  • Providing essential IT expertise across LLNL
  • New simulation technologies and algorithms, such as in design optimization and decision support
  • Computing beyond exascale: heterogeneous, neural, cloud/converged, and quantum
  • Running one of the world’s largest control systems at NIF

Focus Areas

Computational Math

Powering scientific codes with advanced algebraic methods, algorithms, solvers, and discretizations

Computational Science

Supporting the Lab’s mission-driven programs with scientific modeling and simulation

Cyber Security

Meeting the nation’s top priorities to enhance security in a highly interconnected world

Data Science

Advancing AI, data analytics, machine learning, predictive modeling, statistics, UQ, and more

Emerging Architectures

Innovating in new directions for next-generation hardware designs and platform integrations

HPC Systems & Software

Providing environments, tools, and expertise for vital national security research and development

Information Technology

Meeting the Lab’s computer technology needs every day with enterprise applications and services

Software Engineering

Applying best practices to maximize the efficiency of software development and deployment

News

five 4x4 grids connected by dark lines; four of the grids are varyingly distorted; inset shows a single square with a dot in the middle


Source: LLNL Computing

Better solvers, better precision with HYPRE v3

The latest chapter in the nearly 30-year history of hypre includes a new semi-structured algebraic multigrid solver and support for mixed numerical precision at runtime.

Computational Math | Open-Source Software | PDE Methods | Solvers

Looking down the row between cabinets at cables and other interior parts of El Capitan


Source: The Innovation Platform

Livermore Computing: accelerating excellence in high performance computing

To learn more about the work taking place at Livermore Computing and the potential this has for a wide range of real-world applications, The Innovation Platform spoke to LLNL’s Deputy for High Performance Computing, Judy Hill.

AI/ML | Data Science | Emerging Architectures | HPC Architectures | HPC Systems and Software | Hybrid/Heterogeneous | Open-Source Software

LLNL and Meta logos on a washed-out background of molecules


Source: LLNL News

LLNL, Meta co-develop groundbreaking polymer-chemistry dataset for training AI models

In a pioneering partnership to accelerate materials discovery with AI, researchers from LLNL and Meta have created the world’s largest open dataset of atomistic polymer chemistry.

AI/ML | Computational Science | Data Management | Data Science | Materials and Manufacturing

Highlights

Featured Employee
six researchers’ portraits in a collage on blue background with LLNL logo and text overlay “2026 Distinguished Members of Technical Staff Computing Principal Directorate”

DMTS class of 2026

Six LLNL Computing researchers have been named Distinguished Members of Technical Staff in recognition of their extraordinary scientific and technical contributions.

Featured Project
XBraid logo

XBraid

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.

Featured Job
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Boost Your Career

Computing internships give you the chance to work on real problems that matter. We're accepting applications until January 30, 2026.

Careers

People standing in front of LLNL block letters

We offer a promising future of discovery science and technical innovation

From software developers and applied math researchers to hardware architects and networking experts, computing at LLNL requires a top-flight workforce with a broad skill set. Check out our internship pages or visit LLNL's careers site to see how you can be a part of the future.