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

News

The Milky Way and night sky above Rubin Observatory's Auxiliary Telescope. The auxiliary telescope is at the lower left, and the night sky is sprinkled with stars. The denser area of the Milky Way extends upward on the right, bulging wider toward the top. Dark tendrils of dust clouds weave through the bulge.


Source: LLNL Computing

Cerebras components installed in one of the Lassen racks


Source: LLNL Computing

New research in time integration methods recognized at IEEE conference

Can novel mathematical algorithms help scientific simulations leverage hardware designed for machine learning? A team from LLNL’s Center for Applied Scientific Computing aimed to find out.

CogSim/AI/ML Hardware | Computational Math | Emerging Architectures | ODE Methods

WiDS Livermore logo of three women's silhouettes in profile


Source: Data Science Institute

WiDS Livermore returns for two events

The Lab is hosting two related WiDS events: First is a datathon on February 28, then the annual regional conference on March 13. These hybrid events are free and open to everyone.

Data Science | Diversity | Events | Outreach | Students

Highlights

Featured Employee
Mark Miller is leaning against a large rock and smiling on the summit plateau of Mount Whitney, wearing a white shirt, sunglasses, a blue backpack, and a hat. He is on the bottom right of the photograph, surrounded by large rocks. There is a small shelter behind him and mountains on the horizon.

Mark Miller

Computer scientist Mark Miller works on developing scientific visualization and analysis tools. In recent years, he has become a leader in inclusion, diversity, equity, and accountability within…

Featured Project
two rainbow colored stars

libROM

libROM is a library designed to facilitate Proper Orthogonal Decomposition (POD) based Reduced Order Modeling (ROM).

Featured Event
WiDS Livermore logo

Women in Data Science (WiDS) Livermore

WiDS Livermore is back for the seventh time on March 13. This one-day hybrid conference provides an opportunity to hear about the latest data science related research and connect with others in the field.

Careers

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.