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

Corona supercomputer overlaid with LLNL logo and IPDPS "2022 virtual" logo


Source: LLNL Computing

IPDPS 2022 event calendar

LLNL participates in the International Parallel and Distributed Processing Symposium (IPDPS) on May 30 through June 3.

AI/ML | Computational Math | Data Science | Events | HPC Architectures | HPC Systems and Software | Programming Languages and Models | Resource and Workflow Management | Storage, File Systems, and I/O

square cutaway of rainbow-colored data reconstruction


Source: LLNL Computing

CASC team wins best paper at visualization symposium

Winning the best paper award at PacificVis 2022, a research team has developed a resolution-precision-adaptive representation technique that reduces mesh sizes, thereby reducing the memory and storage footprints of large scientific datasets.

AI/ML | Awards | Computational Math | Data Movement and Memory | Data Science | Discrete Mathematics | HPC Systems and Software | Open-Source Software

Highlights

Featured Employee
Bianca climbing a rock wall

Bianca Toledo

UX designer Bianca Toledo helps make government applications more human-centric, user-friendly, and aesthetically pleasing. She joined the Lab in 2019 to find meaning in her work.

Featured Project
colorful lines of code filling a computer screen

Automated Testing System

LLNL’s Python 3–based ATS tool provides scientific code teams with automated regression testing across HPC architectures.

Featured Jobs
people helping others at their work stations

IT Opportunities

Operating a world-class computing center and ensuring the productivity of our scientists 24/7/365 require a deep bench of computer experts, network specialists, and desktop technicians. Our IT teams bring the latest technology and communication capabilities to thousands of staff.

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.