Todd Gamblin leads the PAVE project, which develops performance data visualization techniques that are more intuitive for application scientists.
Parallel Software Development Tools
We’re working on a new generation of tools to help our users with exascale machine bottlenecks. Our research emphasizes performance analysis and code correctness and aims to address these main challenges: seamless integration with programming models, scalability, automatic analysis, detection of inefficient resource usage, and tool modularity. View content related to Parallel Software Development Tools.
Software is everywhere at LLNL. As a Department of Energy (DOE) lab, we strengthen national and global security with a range of programs in fields like counterterrorism, biosecurity, and energy. Our work also contributes to the National Nuclear Security Administration’s stockpile stewardship mission. Researchers inside and outside the Lab rely on our high performance computing (HPC) center to advance science and technology.