This paper describes a novel approach to neighbour-finding in Smoothed Particle Hydrodynamics (SPH) simulations with large dynamic range in smoothing length. This approach is based on hierarchical cell decompositions, sorted interactions, and a task-based formulation. It is shown to be faster than traditional tree-based codes, and to scale better than domain decomposition-based approaches on shared-memory parallel architectures such as multi-cores.
- Pub Date:
- September 2013
- Astrophysics - Instrumentation and Methods for Astrophysics;
- Astrophysics - Cosmology and Extragalactic Astrophysics;
- Computer Science - Distributed;
- and Cluster Computing
- 8th International SPHERIC Workshop, Trondheim, Norway, June 3--6, 2013