Towards a Mini-App for Smoothed Particle Hydrodynamics at Exascale
September 21, 2018 Β· Declared Dead Β· π IEEE International Conference on Cluster Computing
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Authors
Danilo Guerrera, RubΓ©n M. CabezΓ³n, Jean-Guillaume Piccinali, AurΓ©lien Cavelan, Florina M. Ciorba, David Imbert, Lucio Mayer, Darren Reed
arXiv ID
1809.08013
Category
physics.comp-ph
Cross-listed
cs.CE,
cs.DC
Citations
1
Venue
IEEE International Conference on Cluster Computing
Last Checked
1 month ago
Abstract
The smoothed particle hydrodynamics (SPH) technique is a purely Lagrangian method, used in numerical simulations of fluids in astrophysics and computational fluid dynamics, among many other fields. SPH simulations with detailed physics represent computationally-demanding calculations. The parallelization of SPH codes is not trivial due to the absence of a structured grid. Additionally, the performance of the SPH codes can be, in general, adversely impacted by several factors, such as multiple time-stepping, long-range interactions, and/or boundary conditions. This work presents insights into the current performance and functionalities of three SPH codes: SPHYNX, ChaNGa, and SPH-flow. These codes are the starting point of an interdisciplinary co-design project, SPH-EXA, for the development of an Exascale-ready SPH mini-app. To gain such insights, a rotating square patch test was implemented as a common test simulation for the three SPH codes and analyzed on two modern HPC systems. Furthermore, to stress the differences with the codes stemming from the astrophysics community (SPHYNX and ChaNGa), an additional test case, the Evrard collapse, has also been carried out. This work extrapolates the common basic SPH features in the three codes for the purpose of consolidating them into a pure-SPH, Exascale-ready, optimized, mini-app. Moreover, the outcome of this serves as direct feedback to the parent codes, to improve their performance and overall scalability.
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