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

screen shot of video showing multiple computer simulations on a teal background

Source: YouTube

Video: Developing scientific code on the world’s fastest computers at LLNL

Our use of supercomputers is enabled by the codes developed to model and simulate complex physical phenomena on massively parallel architectures.

Computational Science | HPC Architectures | HPC Systems and Software | Hybrid/Heterogeneous | Multimedia | Scientific Visualization | Software Engineering

nuclear weapon blast simulation in multiple colors

Source: LLNL News

Lawrence Livermore team looks at nuclear weapon effects for near-surface detonations

Using the Miranda code and the Ruby supercomputer, an LLNL team has taken a closer look at how nuclear weapon blasts close to the Earth’s surface create complications in their effects and apparent yields.

Computational Science | Hydrodynamics

Screen shot of Nisha speaking to the camera with a virtual background behind her

Source: YouTube

Video: COVID-19 detection and analysis with Nisha Mulakken

On a recent video episode of The Data Standard Podcast, biostatistician Nisha Mulakken discusses the Lawrence Livermore Microbial Detection Array (LLMDA) system, which has detection capability for all variants of SARS-CoV-2.

Bioinformatics | Data Science | Multimedia


Featured Employee
Vanessa running through snow with her back to the camera

Vanessa Sochat

Computer scientist Vanessa Sochat isn’t afraid to meet new experiences head on. With a Stanford PhD and a jump-right-in attitude, she joined LLNL to work on the BUILD project, Spack package…

Featured Project
flux logo on a blue background


Livermore researchers have developed a toolset for solving data center bottlenecks. Flux offers a framework that enables new resource types, schedulers, and framework services to be deployed as…

Featured Innovation

Fighting the Pandemic

LLNL is fully committed to helping protect the U.S. from COVID-19 and to speed the recovery of those affected. Our multi-disciplinary efforts include leveraging the world’s most powerful HPC resources—such as our upgraded Corona supercomputing cluster—to accelerate the pace of scientific discovery related to the virus...


Glassdoor Offical Logo 2020

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.