Project Description
Fluid and solid mechanics are modeled and simulated using partial differential equations, which accounts for a large fraction of compute time in research and industry engineering. Evolving hardware has shifted the relative costs and so-called higher order methods are becoming increasingly attractive from a computational standpoint, but are still rarely adopted in production engineering. Our research group has developed new algorithms and software for such simulations. This project would assess these algorithms on emerging high-performance computing architectures. You'll learn to construct parallel scalability studies and to assess accuracy in convergence studies, ultimately describing the Pareto-optimal configurations for representative engineering problems. This work will use performance-portable software libraries including libCEED and PETSc.
Special Requirements
Experience with a Linux/unix shell will be helpful. Familiarity or interest in learning about mesh generation will also be useful.
Contact
- Jed Kallen-Brown (faculty)
- Adeleke Bankole (graduate student)