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

Kyle in video chat giving thumbs-up next to a slide showing the Dev Day morning agenda

Source: LLNL Computing

Dev Day makes the most of virtual format

Held virtually on July 15, our fifth annual Developer Day featured lightning talks, a technical deep dive, “quick takes” on remote-development resources, presentations about career paths, and a career development panel discussion.

Careers | Events | Open-Source Software | Software Applications | Software Engineering | Software Libraries | Web Technologies

drawing of purple and white discs in a floating stack

Source: Science & Technology Review

Exascale software lays foundation for discovery of new materials

The Center for Non-Perturbative Studies of Functional Materials under Non-Equilibrium Conditions advances high performance computing software to support novel materials discovery.

Computational Science | HPC Architectures | HPC Systems and Software | Materials Science

Portrait of Jeff next to the Krell Institute logo

Source: Science in Parallel

Podcast: Jeff Hittinger: leading by example

In this episode (32:00), LLNL's Jeff Hittinger talks about scientific success, leadership, and the tricks he’s cultivated for communicating science to broader audiences through the Livermore Ambassador Lecture series.

Awards | Careers | Multimedia | Outreach


Featured Employee
webex screen shot of 5x5 video chats

Brian Gallagher

Brian Gallagher works on applications of machine learning for a variety of science and national security questions. He’s also a group leader, student mentor, and the new director of LLNL’s Data…

Featured Project
Axom logo where the O is represented as a gear


Supported by the Advanced Simulation and Computing program, the open-source Axom project focuses on developing software infrastructure components that can be shared by HPC applications running on…

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.