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LANL Co-Design Summer School - Current Staff |
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CCS-7 Applied Computer Science.
Julien is a Computer Scientist with a background in High Performance Computing and simulation. He has experience in hybrid architectures and accelerated systems. His postdoctorate work focuses on FleCSPH, a tool for Smoothed Particles Hydrodynamics simulations based on the FleCSI framework from LANL. The intent is to provide an efficient and distributed tree data structure to FleCSI that allows the work to be offloaded to accelerators. The final goal of FleCSPH is to simulate large Astrophysics events.
Julien is an alumnus of the 2016 summer school class.
CCS-2 Computational Physics and Methods.
Hyun Lim is a staff scientist in CCS-2 with a background gravitational physics, astrophysics, and applied mathematics. He has experiences developing various multi-physics codes both Eulerian and Lagrangian frames to solve problems in astrophysics and magnetohydrodynamics. He also works on scalable numerical methods including adaptive mesh refinement and linear solvers.
Hyun Lim is an alumnus of the 2016 summer school class.
CCS-7 Applied Computer Science
Andrés is a staff scientist in CCS-7 with a background in numerical methods, solar physics and nuclear astrophysics. He has worked in magnetohydrodinamics, nucleosynthesis and galactic chemical evolution simulations, including stiff nuclear networks, developing novel numerical methods for the latter. He is interested in developing simulations that can take full advantage of HPC systems capabilities.
CCS-7 Applied Computer Science
Andrew is a computer scientist with a background in high performance
computing and numerical analysis. He has experience in improving the
performance and scalability of structured multilevel solvers. His
interests include parallel numerical algorithms on emerging
architectures and scalable linear solvers.
Andrew is an alumnus of the 2014 summer school class.
CCS-7 Applied Computer Science
Brendan is a computational scientist with experience in high performance computing and physical simulations. He has worked on many projects at LANL, including the Eulerian Applications Project, the Singe thermonuclear reactions library, the Portage remapping library, and the FleCSI framework. His experience includes implementing physics models, porting code to run on GPUs, and developing software infrastructure to support subject-matter experts in writing their own simulation tools.
CCS-7 Applied Computer Science
Maxim is a computational scientist in CCS-7 with a background in High-Performance Computing. He has experience in hybrid architectures and HPC runtime systems. His research interests include high-speed communication, dynamic task mapping, and machine learning models.
Maxim is an alumnus of the 2021 and 2022 summer school classes.
CCS-7 Applied Computer Science
CCS-7 Applied Computer Science
Philipp is a staff scientist in CCS-7 with a background in stellar astrophysics, numerical methods for hydrodynamics, and high-performance computing. He has experience with implicit solvers for low Mach number hydrodynamics, nuclear reaction networks, and spectral methods. Currently he is working on developing portable and scalable multiphysics applications as part of the Ristra project.
CCS-7 Applied Computer Science
Sumathi is a computational scientist with a background in Electrical and Computer Engineering. She has experience in porting and optimization of scientific applications like weather and power grid models on heterogeneous computing architectures. Her research interests include parallel-in-time algorithms on emerging hardware architectures and explainable machine learning models for scientific applications.
Allen McPherson R.I.P. (Retired in Paradise)
Al McPherson is a computer scientist and the former lead of the CCS-7 Co-Design team.