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


five people onstage at SC23

Source: LLNL News

LLNL’s Doerfert awarded IEEE Computer Society Early Career Researchers Award

Johannes Doerfert, a computer scientist in the Center for Applied Scientific Computing, was one of three researchers awarded the honor at SC23 in Denver.

Awards | HPC Systems and Software

LLNL software developer Kristi Belcher discusses a poster with attendees at the SC23 Poster Session

Source: LLNL News

Record-setting SC23 builds mile-high momentum for exascale computing, AI, and the future of HPC

A record number of attendees—more than 14,000—experts, researchers, vendors and enthusiasts in the field of HPC descended on the Mile High City for the 2023 International Conference for High Performance Computing, Networking, Storage and Analysis, colloquially known as SC23.

AI/ML | Data Science | Emerging Architectures | Events | Exascale | HPC Systems and Software

x-ray image showing the interior of a piece of luggage

Source: Data Science Institute

For better CT images, new deep learning tool helps fill in the blanks

LLNL researchers collaborated with Washington University in St. Louis to devise a state-of-the-art, machine learning ML–based reconstruction tool for when high-quality computed tomography data is in low supply.

AI/ML | Data Science | Deep Learning | Scientific ML


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.