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Livermore
Computing Center

Home to a first-class computational infrastructure that supports the computing requirements of the Laboratory’s mission and research areas.

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Delivering game-changing solutions to the nation’s biggest challenges

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Unique facilities that redefine state of the art and enable discovery science

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News

Ramesh Pankajakshan: From Research Professor to Professional Researcher

Computational Scientist Ramesh Pankajakshan came to LLNL in 2016 directly from the University of Tennessee at Chattanooga.

Video: Managing HPC Software Complexity with Spack

Spack is an open-source package manager for HPC.

Energy Department, Weill Foundation Sign MOU to Advance AI for Biomedicine, Health Research

Energy Secretary Rick Perry (center) emphasized the importance of advancing high performance computing and artificial intelligence to take on a number of transformative science opportunities

Join Our Team

LC Team

Looking for a challenge?  Livermore Computing offers one of the most stable, stimulating work environments anywhere. Career opportunities in system administration, visualization, and data analysis emphasize creative technology, advanced research, and multidisciplinary collaboration.

Top-Ranked Supercomputers at Livermore Computing Center

  • Sierra
  • Sequoia
  • Lassen
Sierra

Sierra

Our newest supercomputer, Sierra, is nearing completion and projected to provide four to six times the sustained performance and five to seven times the workload performance of Sequoia, with ~125 petaFLOP/s peak. The Collaboration of Oak Ridge, Argonne and Lawrence Livermore, also known as CORAL, represents an innovative procurement strategy to accelerate the development of high performance computing. Sierra is the Livermore system acquired as a result of the CORAL procurements, which will influence the modernization of future generations of computing throughout the NNSA complex.

More about Sierra

Sequoia supercomputer

Sequoia

Ranked among the world’s most powerful supercomputers, Sequoia supports two missions: quantify the uncertainties in numerical simulations of nuclear weapons performance and perform the advanced weapons science calculations needed to develop the accurate physics-based models for weapons codes. Sequoia is primarily water-cooled and significantly more energy efficient than comparable systems, which is essential to control operating costs.

Sequoia has been ranked in the top ten on the Graph500 list since November 2012, indicating that it is one of the most efficient systems in the world for processing extremely vast (petabyte and exabyte-size) data sets. The Graph500 benchmark measures how quickly a system can search through a large data set—an important indicator of a system's usefulness as computer scientists increasingly use supercomputers to analyze massive data-intensive workloads in addition to executing traditional modeling and simulation tasks.

More about Sequoia
Lassen supercomputer

Lassen

Lassen, an unclassified, heterogeneous IBM/NVIDIA system with the same architecture as Sierra but smaller, placed No. 10 on the June 2019 Top500 list with a High Performance Linpack (HPL) benchmark score of 18.2 petaFLOPS (18.2 quadrillion point operations per second) boosting its original 15.4 petaFLOP performance from the previous November.

More about Lassen

Advanced Simulation and Computing

A flagship facility in the Advanced Simulation and Computing Program, Livermore Computing houses some of the world's fastest supercomputers accessible to ~3000 researchers.

Computing Directorate

Computing advances the frontiers of computational science and delivers game-changing solutions to society’s biggest challenges in energy, environment, and national and global security. Our research and development activities are applications driven and are focused on LLNL programmatic objectives.
LLNL

Lawrence Livermore National Laboratory
7000 East Avenue • Livermore, CA 94550

Operated by Lawrence Livermore National Security, LLC, for the
Department of Energy's National Nuclear Security Administration.

NNSA U.S. DOE LLNS
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