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A Smoothed Particle Hydrodynamics Mini-App for Exascale

Cavelan, Aurélien and Cabezón, Rubén M. and Grabarczyk, Michal and Ciorba, Florina M.. (2020) A Smoothed Particle Hydrodynamics Mini-App for Exascale. In: PASC '20: Proceedings of the Platform for Advanced Scientific Computing Conference. New York, p. 11.

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Official URL: https://edoc.unibas.ch/81961/

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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 1018 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.
Faculties and Departments:05 Faculty of Science > Departement Mathematik und Informatik > Informatik > High Performance Computing (Ciorba)
10 Zentrale universitäre Einrichtungen > SciCore
UniBasel Contributors:Ciorba, Florina M. and Cavelan, Aurélien and Cabezon, Ruben M.
Item Type:Conference or Workshop Item, refereed
Conference or workshop item Subtype:Conference Paper
Publisher:Association for Computing Machinery
ISBN:978-1-4503-7993-9
Note:Publication type according to Uni Basel Research Database: Conference paper
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Last Modified:16 Feb 2021 11:13
Deposited On:16 Feb 2021 11:13

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