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

Rayleigh-Taylor instability simulation


Source: LLNL News

Lab-led effort one of nine DOE-funded data reduction projects

An LLNL-led effort in data compression was one of nine projects recently funded by the DOE for research aimed at shrinking the amount of data needed to advance scientific discovery. Under the project — ComPRESS: Compression and Progressive Retrieval for Exascale Simulations and Sensors — LLNL scientists will seek better understanding of data-compression errors.

Data Compression | Data Science | Open-Source Software

ML4I logo on black background


Source: Data Science Institute

Inaugural industry forum inspires ML community

LLNL held its first-ever Machine Learning for Industry Forum (ML4I) on August 10–12. Co-hosted by the Lab’s High-Performance Computing Innovation Center and Data Science Institute, the virtual event brought together more than 500 attendees from the Department of Energy (DOE) complex, commercial companies, professional societies, and academia.

AI/ML | Computational Math | Computational Science | Data Science | Materials Science | ML Theory | Outreach | Scientific ML | Scientific Visualization

diagram of heterogeneous computing with Ignacio's portrait and DOE logo


Source: LLNL News

DOE-funded project to advance portability of heterogenous HPC applications

A newly funded project involving co-principal investigator and LLNL computer scientist Ignacio Laguna will examine one of the major challenges as supercomputers become increasingly heterogenous—the numerical aspects of porting scientific applications to different HPC platforms.

HPC Architectures | HPC Systems and Software | Hybrid/Heterogeneous | Performance, Portability, and Productivity

Highlights

Featured Employee
Five researchers stand in a group in front of trees and tall grasses

Harsh Bhatia

CASC researcher Harsh Bhatia thrives in the Lab’s versatile research environment. “At the Lab, no two problems are the same. Therefore, as a team, researchers deliver hundreds of new data science…

Featured Project
blt logo

BLT

BLT software supports HPC software development with built-in CMake macros for external libraries, code health checks, and unit testing.

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.