Speaker
Niclas Jansson
Description
The massive computational cost for resolving all turbulent
scales makes a direct numerical simulation of the
underlying Navier-Stokes equations impossible in most
engineering applications. This work concerns the
development of an adaptive finite element method that
enables efficient computation of time resolved
approximations for complex geometries with error control.
We present efficient data structures and data decomposition
methods for distributed unstructured tetrahedral meshes.
Our work also concerns an efficient parallelization of local
mesh refinement methods such as recursive longest edge
bisection, and the development of an a priori predictive
dynamic load balancing method, based on a weighted dual
graph.We also address the challenges of emerging
supercomputer architectures with the development of new
hybrid parallel programming models, combining traditional
message passing with lightweight one-sided
communication. Our implementation has proven to be both
general and efficient, scaling up to more than 12k cores.
