Scalable, Shared and Distributed Memory Algorithms for Computational Solids, Fluids and Geometry
Numerical simulation of physical phenomena is of great importance to the military as it can be used for designing better weaponry, training new recruits or for testing equipments to be used in the field. The core research is to develop an open-source platform for physics simulations which can be used by researchers in academia, industry and the military for tackling real-world problems. The PI is working to develop:
New algorithms for taking large time steps for rigid and deformable solids, plasticity, fracture, fluids, solid-fluid coupling, etc
- Algorithms for reducing the computation per time step including faster projection methods, multigrid, preconditioners, Krylov solvers such as conjugate gradient, etc.
- Algorithms for domain decomposition techniques including Chimera grids
- Hybridized MPI/threaded framework
- Publish the new system as part of the PhysBAM open-source release, portability, Android and Windows