PROJECTS
Legacy
Ascending to Exascale
El Capitan will have a peak performance of more than 2 exaflops—roughly 16 times faster on average than the Sierra system—and is projected to be several times more energy efficient than Sierra.
RAJA Portability Suite
A Livermore-developed programming approach helps software to run on different platforms without major disruption to the source code.
Axom
Supported by the Advanced Simulation and Computing program, Axom focuses on developing software infrastructure components that can be shared by HPC apps running on diverse platforms.
PEOPLE
Greg Lee
Greg Lee helps develop tools designed to boost performance and productivity of Livermore scientists.
Olga Pearce
Olga Pearce studies how to detect and correct load imbalance in high performance computing applications.
Chris Morrone
Working extensively with open-source software such as Lustre and engaging with the broader open-source community is what computer scientist Chris Morrone enjoys most about his job, and it is one…
NEWS
Lab scientists win R&D 100 awards
An optics element team and two open-source software teams (UMap and UnifyFS) are LLNL's winners of this year's awards.
LLNL, DOD, NNSA dedicate Rapid Response Laboratory and supercomputing system to accelerate biodefense
The collaboration has enabled expanding systems of the same architecture as LLNL’s upcoming exascale supercomputer, El Capitan, featuring AMD’s cutting-edge MI300A processors.
ISCP projects make machine learning advantages tangible
To keep employees abreast of the latest tools, two data science–focused projects are under way as part of Lawrence Livermore’s Institutional Scientific Capability Portfolio.