English

A Smoothed Particle Hydrodynamics Mini-App for Exascale

Computational Engineering, Finance, and Science 2022-12-21 v1

Abstract

The Smoothed Particles Hydrodynamics (SPH) is a particle-based, meshfree, Lagrangian method used to simulate multidimensional fluids with arbitrary geometries, most commonly employed in astrophysics, cosmology, and computational fluid-dynamics (CFD). It is expected that these computationally-demanding numerical simulations will significantly benefit from the up-and-coming Exascale computing infrastructures, that will perform 10 18 FLOP/s. In this work, we review the status of a novel SPH-EXA mini-app, which is the result of an interdisciplinary co-design project between the fields of astrophysics, fluid dynamics and computer science, whose goal is to enable SPH simulations to run on Exascale systems. The SPH-EXA mini-app merges the main characteristics of three state-of-the-art parent SPH codes (namely ChaNGa, SPH-flow, SPHYNX) with state-of-the-art (parallel) programming, optimization, and parallelization methods. The proposed SPH-EXA mini-app is a C++14 lightweight and flexible header-only code with no external software dependencies. Parallelism is expressed via multiple programming models, which can be chosen at compilation time with or without accelerator support, for a hybrid process+thread+accelerator configuration. Strong and weak-scaling experiments on a production supercomputer show that the SPH-EXA mini-app can be efficiently executed with up 267 million particles and up to 65 billion particles in total on 2,048 hybrid CPU-GPU nodes.

Keywords

Cite

@article{arxiv.2005.02656,
  title  = {A Smoothed Particle Hydrodynamics Mini-App for Exascale},
  author = {Aurélien Cavelan and Rubén M. Cabezón and Michal Grabarczyk and Florina M. Ciorba},
  journal= {arXiv preprint arXiv:2005.02656},
  year   = {2022}
}

Comments

For PASC 2020 conference

R2 v1 2026-06-23T15:20:40.755Z