Dan Magee

MS graduate

Dan graduated with his MS in Mechanical Engineering in June 2018. His research focused on numerical methods to improve the efficiency of computational fluid dynamics simulations, specifically using graphics processing units and novel domain decomposition schemes.

MS thesis: Swept time-space domain decomposition on GPUs and heterogeneous computing systems

Current position: Scientist II in the Programming and Runtime Environments Team at Los Alamos National Laboratory


Applying the swept rule for solving explicit partial differential equations on heterogeneous computing systems

Accelerating solutions of one-dimensional unsteady PDEs with GPU-based swept time–space decomposition

Conference Papers

Magee DJ, Niemeyer KE. "hSweep: Applying the swept rule for explicit PDE solutions to heterogeneous clusters." 30th International Conference on Parallel Computational Fluid Dynamics (Parallel CFD 2018), Indianapolis, IN, USA. May 2018

Magee DJ, Niemeyer KE. "An initial investigation of the performance of GPU-based swept time-space decomposition." AIAA SciTech 2017, Grapevine, TX, USA. January 2017