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


Top row: two photos of a large building with a spire corrupted by glass blur and shot noise; bottom row: two multicolored rectangles (spectral heatmaps) corresponding to the photos

Source: LLNL Computing

Conference paper illuminates neural image compression

New research reveals subtleties in the performance of neural image compression methods, offering insights toward improving these models for real-world applications.

AI/ML | Computer Vision | Data Compression | Data Science

Konstantinos Parasyris presents his team’s paper in front of the audience

Source: LLNL News

Revolutionary tool speeds up GPU programs for scientific applications

An LLNL-led team has developed a method for optimizing application performance on large-scale GPU systems, providing a useful tool for developers running on GPU-based massively parallel and distributed machines.

HPC Systems and Software

Carol and Judy with SIAM log overlay on green background

Source: LLNL News

LLNL’s Woodward, Hill elected to key SIAM leadership positions

The Society for Industrial and Applied Mathematics (SIAM) announced the election of LLNL computational mathematician Carol Woodward as its president-elect and computational scientist Judy Hill as a council member for the organization.

Careers | Computational Math


Featured Employee
Carolyn Albiston working at a computer (Credit: Department of Energy)

Carolyn Albiston

Carolyn Albiston is a research software engineer in NIF Shot Data Systems. Her career is a culmination of her wide range of varied interests and skills.

Featured Project
Merlin's logo


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

Featured Job
Computing Scholar logo

Apply Now for Internships

The application window is now open for Fall 2023 and Spring/Summer 2024 internships. We invite undergraduate and graduate students to apply today for Computing Scholars, the HPC Cluster Engineer Academy, the DevOps Internship Team, and the Data Science Summer Institute.


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.