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

Recent Tweet

Bronis in front of the Sierra supercomputer


Source: LLNL News

De Supinski named one of HPCwire’s People to Watch

The HPC industry publication HPCwire named Bronis R. de Supinski, LLNL’s chief technology officer for Livermore Computing, as one of its People to Watch for 2021.

Awards | Careers | HPC Architectures | HPC Systems and Software

Rob Falgout 2021 SIAM Fellow


Source: LLNL News

LLNL’s Falgout named to 2021 Class of SIAM Fellows

SIAM announced its 2021 Class of Fellows, including LLNL computational mathematician Rob Falgout. Falgout is best known for his development of multigrid methods and for hypre, one of the world’s most popular parallel multigrid codes.

Awards | Careers | Computational Math

Screen shot of Youngsoo’s talk showing his video feed on one side and a slide depicting reduced order methods equations on the other.


Source: Data Science Institute

Virtual seminar series explores data-driven physical simulations

Led by computational scientist Youngsoo Choi, the Data-Driven Physical Simulation reading group has been meeting biweekly since October 2019. The pandemic almost disbanded the group... until it turned into a virtual seminar series.

AI/ML | Computational Science | Data Science | Data-Driven Decisions | Multimedia

Highlights

Featured Project
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BUILD

This project aims to tackle the complexities of HPC software integration with dependency compatibility models, binary analysis tools, efficient logic solvers, and configuration optimization techniques.

Featured Employee
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Dianne Calloway

After 35 years at LLNL, Dianne Calloway is never bored. Her team builds and maintains data-tracking applications that support a huge variety of work at the Lab. For instance, their software tracks every chemical purchase—from the time it’s bought all the way through its disposal.

Computing for COVID-19
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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...

Careers

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.