![puzzle pieces](/sites/default/files/styles/front_page_card/public/build-llnl-project-card.png?itok=NtGAG3pH)
BUILD
BUILD tackles the complexities of HPC software integration with dependency compatibility models, binary analysis tools, efficient logic solvers, and configuration optimization techniques.
![two simulations in the shape of cubes showing meshes](/sites/default/files/styles/front_page_card/public/co-design-llnl-project-card_0.png?itok=z5j_VgCJ)
ASC Proxy Apps
Proxy apps serve as specific targets for testing and simulation without the time, effort, and expertise that porting or changing most production codes would require.
![Maestro logo](/sites/default/files/styles/front_page_card/public/maestro-llnl-project-card.png?itok=3JXPEDod)
Maestro Workflow Conductor
The Maestro Workflow Conductor is a lightweight, open-source Python tool that can launch multi-step software simulation workflows in a clear, concise, consistent, and repeatable manner.
![Kathryn Mohror is dwarfed by the now-retired Sequoia supercomputing system](/sites/default/files/styles/front_page_card/public/2021-02/kathryn-mohror-people-highlight-LLNL-D8.png?itok=46KGtN2v)
Kathryn Mohror
Kathryn Mohror develops tools that give researchers the information they need to tune their programs and maximize results. After all, she says, “It’s all about getting the answers more quickly.”…
![a person connects wires inside the supercomputer's racks](/sites/default/files/styles/front_page_card/public/2024-03/el-capitan-innards.png?itok=7UWkYdU7)
LLNL set to deploy world’s fastest supercomputer this year
The system will enable researchers from the National Nuclear Security Administration weapons design laboratories to create models and run simulations, previously considered challenging, time-intensive or impossible, for the maintenance and modernization of the United States’ nuclear weapons stockpile.
![Konstantinos Parasyris presents his team’s paper in front of the audience](/sites/default/files/styles/front_page_card/public/2023-12/SC23_1114_tut_wrk_1ND06533_875x500.jpg?itok=wZGZie6G)
Revolutionary tool speeds up GPU programs for scientific applications
An LLNL-led team has developed a method for optimizing application performance on large-scale GPU systems, providing a useful tool for developers running on GPU-based massively parallel and distributed machines.
![five people onstage at SC23](/sites/default/files/styles/front_page_card/public/2023-11/sc23-johannes-news.png?itok=5ixuKyw_)
LLNL’s Doerfert awarded IEEE Computer Society Early Career Researchers Award
Johannes Doerfert, a computer scientist in the Center for Applied Scientific Computing, was one of three researchers awarded the honor at SC23 in Denver.