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

Lori speaking from a podium


Source: YouTube

Video: The U.S. Exascale Computing Project

In a talk recorded for the 2020 LLNL Computing Virtual Expo, Computing principal deputy associate director and ECP deputy director Lori Diachin describes the ECP’s goals and the Laboratory's role.

Co-Design | HPC Architectures | HPC Systems and Software | Hybrid/Heterogeneous | Outreach

drawing of a brain made up of network lines and a computer chip


Source: LLNL Computing

A winning strategy for deep neural networks

New research debuting at ICLR 2021 demonstrates a learning-by-compressing approach to deep learning that outperforms traditional methods without sacrificing accuracy.

AI/ML | Computational Math | Data Science | Deep Learning | ML Theory | Scientific ML

Flux logo and photos of Dan, Stephen, and Dong


Source: LLNL News

LLNL, IBM and Red Hat joining forces to explore standardized HPC resource management interface

LLNL, IBM and Red Hat are combining forces to develop best practices for interfacing (HPC schedulers and cloud orchestrators, an effort designed to prepare for emerging supercomputers that take advantage of cloud technologies.

HPC Systems and Software | Open-Source Software | Resource and Workflow Management

Highlights

Featured Employee
Stephanie in front of a leafy tree

Stephanie Brink

Computing relies on engineers like Stephanie Brink to keep the legacy codes running smoothly. “You’re only as fast as your slowest processor or your slowest function,” says Brink, who works in…

Featured Project
puzzle pieces

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…

Featured Innovation
COVID 19

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.