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

Big Ideas Lab podcast logo with text "celebrating one million downloads"


Source: LLNL News

Big ideas, big milestone: Lab podcast surpasses one million downloads

Launched in Sept. 2024, the podcast set out to offer a fresh perspective on science communication, bringing researchers, innovators, and thought leaders together for conversations about the ideas shaping the future. 

Multimedia

AI for Nuclear Deterrence logo with visualization pattern


Source: LLNL News

LLNL pushes frontier of fusion target design with AI

Part of an AI framework called the Multi-Agent Design Assistant (MADA), LLNL scientists and collaborators are merging LLMs with simulation tools to interpret natural language prompts and using the platform to generate full physics simulation decks for LLNL’s MARBL multiphysics code.

AI/ML | Computational Science | Data Science | Lasers and Optics

5x5 grid of squares made up of green, yellow, teal, and black shapes representing Poisson’s and Burgers’ equations


Source: LLNL Computing

Shifting foundations: an AI paradigm emerges in computational science

A new CASC paper proposes unity and clarity around foundation models in computational science, offering an implementation framework inspired by finite element methods.

AI/ML | Collaborations | Computational Math | Computational Science | Data Science | Discrete Mathematics | ML Theory | Scientific ML

Highlights

Featured Employee
Indoor photo of white man in black collared shirt

Daniel Nichols

As Computing’s ninth Fernbach Fellow, postdoctoral researcher Daniel Nichols will explore how AI can accelerate HPC and computational science under the mentorship of Harshitha Menon.

Featured Project
zfp velocity field that looks like blue and orange bubbles in varying degrees of granularity

zfp

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

Featured Event
rainbow-colored advection simulation

MFEM Community Workshop

Join us for the fifth annual MFEM Community Workshop on September 10–11, 2025. Registration closes on August 27.

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.