Tan Nguyen is a research scientist at Lawrence Berkeley National Laboratory. Nguyen's research focuses on performance analysis and code optimizations for various processor architectures, including multi- and many-core CPUs, GPUs, and FPGAs. He is also interested in compiler analysis and code generation, programming models and runtime systems for large-scale applications.
Nguyen received his Ph.D. degree in Computer Science from University of California, San Diego in 2014. Nguyen is an alumnus of the Vietnam Education Foundation.
- ECP-Hardware Evaluation: Use Performance Analysis Tools to predict application performance on future DOE's systems
- NERSC10: Explore alternative processor architectures for the next generation of supercomputer at NERSC
- AMReX: Optimize Massively Parallel, Block-structured Adaptive Mesh Refinement (AMR) Applications
- Collaborative research activities: scalable AI algorithms, Graph Neural Networks
- ExaSAT: An Exascale Static Analysis Tool for Hardware/Software Design Space Evaluation