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Computing at LLNLBrowse Projects
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
- Designing AI and machine learning algorithms for science-based pattern discovery
- Driving advances in simulation, scalable visualization, and data management
- Providing essential IT expertise across LLNL
- New simulation technologies and algorithms, such as in design optimization and decision support
- Computing beyond exascale: heterogeneous, neural, cloud/converged, and quantum
- Running one of the world’s largest control systems at NIF
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
Source: LLNL Computing
Computing advances highlighted at DOE’s SC25 exhibit booth
During the weeklong conference, attendees visiting the Department of Energy’s booth were treated to two technical demonstrations and a talk by LLNL staff.
AI/ML | Algorithms at Scale | Biology/Biomedicine | Computational Science | Containerization | Data Science | Events | Exascale | HPC Systems and Software | Lasers and Optics | Natural Language Processing | Resource and Workflow Management | Scientific ML
Source: YouTube
Video: How supercomputers are transforming research in cancer, dark matter, and seismology
Researchers are using LLNL’s unclassified supercomputers to delve into complex scientific questions such as uncovering how protein interactions are linked to cancer, shedding light on mysterious dark matter, and understanding the shifting dynamics of seismic waves.
Biology/Biomedicine | Collaborations | Computational Science | HPC Systems and Software | Multimedia | Seismology | Space Science
Source: YouTube
Video: 2025 LLNL highlights
In 2025, LLNL built on our legacy of groundbreaking scientific and technological innovation with the help of partners from throughout the federal government, nuclear security enterprise, the national laboratory system, industry, and academia.
Highlights
Yohann Dudouit
Morphing an interest in simulation into a career in sophisticated software development, Yohann Dudouit helps the Laboratory visualize complex scientific phenomena in the national interest.
SLOPE-Grid
A sophisticated, cost-effective framework combines HPC, ML models, and mathematical algorithms to optimize power grid stability and security.
Calling All Students!
Computing internships give you the chance to work on real problems that matter. We're accepting applications until January 30, 2026.
Careers

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.
- Focus Areas
- Projects
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Centers & Institutes
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Center for Applied Scientific Computing
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CASC Groups
- Computational Physics Group
- Data Science & Analytics Group
- High Performance Computing Group
- Informatics Group
- Machine Intelligence Group
- Mathematical Algorithms & Computing Group
- Numerical Analysis & Simulations Group
- Parallel Systems Group
- Research Software Engineering Group
- Scientific Computing Group
- UQ & Optimization Group
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CASC Newsletter
- Volume 16, December 2025
- Volume 15, March 2025
- Volume 14, June 2024
- Volume 13, July 2023
- Volume 12, November 2022
- Volume 11, December 2021
- Volume 10, April 2021
- Volume 9, June 2020
- Volume 8, August 2019
- Volume 7, December 2018
- Volume 6, August 2018
- Volume 5, April 2018
- Volume 4, January 2018
- Volume 3, October 2017
- Volume 2, July 2017
- Volume 1, April 2017
- CASC Publications
- Academic Engagement Program
- Machine Learning at CASC
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CASC Groups
- Livermore Computing (HPC + Machines)
- Data Science Institute
- High Performance Computing Innovation Center
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Center for Applied Scientific Computing
- Collaborations
- About
- Careers
