![3D HYDRA simulation of NIF target](/sites/default/files/styles/front_page_card/public/hpc-code-performance-llnl-project-card.png?itok=MO0S8gXV)
HPC Code Performance
LLNL researchers are finding some factors are more important in determining HPC application performance than traditionally thought.
![A successful rendering of the Q-criterion (a measure of vorticity) from the memory parallel test of the Livermore-codeveloped framework](/sites/default/files/styles/front_page_card/public/derived-field-llnl-project-card.png?itok=LmGVOeOP)
Derived Field Generation
Livermore computer scientists have helped create a flexible framework that aids programmers in creating source code that can be used effectively on multiple hardware architectures.
Machine Learning
LLNL computer scientists use machine learning to model and characterize the performance and ultimately accelerate the development of adaptive applications.
![inset of Kathryn's photo overlaid on photo of three people standing in front of Frontier](/sites/default/files/styles/front_page_card/public/2023-07/unifyfs-award-ornl.png?itok=PuGgo7n0)
UnifyFS team wins IPDPS award for open-source software
A research team from Oak Ridge and Lawrence Livermore national labs won the first IPDPS Best Open-Source Contribution Award for the paper “UnifyFS: A User-level Shared File System for Unified Access to Distributed Local Storage.”
![El Capitan rendering](/sites/default/files/styles/front_page_card/public/2023-06/El%20Cap%20comp%20leaderboard.png?itok=Uk4ae6Mw)
Talking novel architectures and El Capitan with Lawrence Livermore
LLNL CTO Bronis de Supinski talks about how the Lab deploys novel architecture AI machines and provides an update on El Capitan.
![Jacob Wahlgren is on stage accepting the Research Poster Award certificate](/sites/default/files/styles/front_page_card/public/2023-06/isc23-poster-award-leaderboard.png?itok=FGyoEA-1)
Investigation of disaggregated memory systems wins poster award
Splitting memory resources in high performance computing between local nodes and a larger shared remote pool can help better support diverse applications.