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
  • Deploying research and supercomputers to mitigate COVID-19
  • Preparing for one of the nation’s first exascale-class computers
  • Providing essential IT expertise across LLNL
  • Running one of the world’s largest control systems at NIF
  • Advancing cancer research and treatment
  • Designing AI and machine learning algorithms for science-based pattern discovery

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


Recent Tweet

blue and red lattice structure on the left where blue indicates the lattice component that needs to be removed; black lattice structure on the right showing the optimized red portion of the left image

Source: LLNL Computing

screen shot of Tzanio talking to the seminar group with his slides on a big screen

Source: YouTube

Video: Meso and macroscale modeling 1 (IPAM at UCLA)

UCLA's Institute for Pure & Applied Mathematics hosted LLNL's Tzanio Kolev for a talk about high-order finite element methods.

Computational Math | Discrete Mathematics | Events | Multimedia | Open-Source Software | Outreach

screen shot of Erik talking to the seminar group with his slides on a big screen

Source: YouTube

Video: Future exascale architectures (IPAM at UCLA)

UCLA's Institute for Pure & Applied Mathematics hosted LLNL's Erik Draeger for a talk about the challenges and possibilities of exascale computing.

Events | HPC Architectures | HPC Systems and Software | Hybrid/Heterogeneous | Multimedia | Outreach


Featured Employee
Carol Woodward

Carol Woodward

An LLNL Distinguished Member of Technical Staff, Carol Woodward consults on a diverse array of projects at the Lab and beyond. “It’s nice because it means I can work at the same place and not just…

Featured Project
wavy simulation of plasma colored in blue, green, yellow, and white on a black background


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

Featured Video
DeepRacer car positioned on the blue track with a dashed yellow center line and white lines marking the outside of the lane

DeepRacer Hackathon

Our fall 2022 hackathon featured an Amazon Web Services (AWS) DeepRacer machine learning competition, in which participants used a cloud-based racing simulator to train an autonomous race car with reinforcement learning algorithms.


Team stands in front of HPC

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.