Computing at LLNL
Browse Projects

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

A graphic depicting six heat maps at left and four other charts at right


Source: LLNL News

LLNL scientists take new approach to understanding protein-membrane interactions

A study led by LLNL scientists is providing new insights into the complex interactions between proteins and cell membranes, combining detailed molecular simulations and large-scale models.

Biology/Biomedicine | Computational Science | Data Science

Adobe Stock illustration of a brain shape made up of teal and pink filaments on an abstract background


Source: LLNL Computing

ICLR25 acceptances

LLNL researchers have posters and workshop papers accepted to the 13th International Conference on Learning Representations on April 24–28.

AI/ML | Data Science | Deep Learning | Events | ML Theory | Natural Language Processing | Scientific ML

image from a telescope of distant galaxies and stars


Source: LLNL News

Mapping cosmic shear to illuminate dark energy

In a recent study published in the Astrophysical Journal, LLNL researchers developed an innovative approach to map cosmic shear using linear algebra, statistics, and HPC.

Computational Math | Computational Science | Data Science | HPC Systems and Software | Space Science | UQ and Statistics

Highlights

Featured Employee
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Keith Downs

IT manager Keith Downs has always been tinkering with computers, and much of his adult life has been shaped by his childhood interests.

Featured Project
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Axom

Supported by the Advanced Simulation and Computing program, Axom focuses on developing software infrastructure components that can be shared by HPC apps running on different platforms.

Featured Job
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Boost Your Career

Here in Computing, creative technology, advanced research, multidisciplinary collaboration, and big projects converge, creating one of the most stable, stimulating work environments anywhere.

Careers

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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.