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arXiv · 1309.3783

SWIFT: Fast algorithms for multi-resolution SPH on multi-core architectures

Pedro Gonnet·Matthieu Schaller·Tom Theuns·Aidan B. G. Chalk
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Abstract

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.

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Pedro Gonnet, Matthieu Schaller, Tom Theuns, Aidan B. G. Chalk. 2013-09-15. SWIFT: Fast algorithms for multi-resolution SPH on multi-core architectures. https://arxiv.org/abs/1309.3783

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