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DTSTAMP:20210916T132449Z
LOCATION:Mère Royaume
DTSTART;TZID=Europe/Stockholm:20210706T120000
DTEND;TZID=Europe/Stockholm:20210706T123000
UID:submissions.pasc-conference.org_PASC21_sess147_msa192@linklings.com
SUMMARY:SPH-EXA: A Mini-App for Smoothed Particles Hydrodynamics Simulatio
 ns on Heterogenous HPC Architectures
DESCRIPTION:Minisymposium\n\nSPH-EXA: A Mini-App for Smoothed Particles Hy
 drodynamics Simulations on Heterogenous HPC Architectures\n\nCavelan, Cior
 ba\n\nThe Smoothed Particles Hydrodynamics (SPH) is a particle-based, mesh
 free, Lagrangian method used to simulate multidimensional fluids with arbi
 trary geometries, most commonly employed in astrophysics, cosmology, and c
 omputational fluid-dynamics (CFD).<br />It is expected that these computat
 ionally-demanding numerical simulations will significantly benefit from th
 e up-and-coming Exascale computing infrastructures, that will perform 1018
  FLOP/s. In this work, we review the status of a novel SPH mini-app, which
  is the result of an interdisciplinary co-design project between the field
 s of astrophysics, fluid dynamics and computer science, whose goal is to e
 nable SPH simulations to run on Exascale systems. The SPH mini-app merges 
 the main characteristics of three state-of-the-art parent SPH codes with s
 tate-of-the-art parallel programming, optimization, and parallelization me
 thods.<br />The proposed SPH mini-app is a C++14 lightweight and flexible 
 header-only code with no external software dependencies. Parallelism is ex
 pressed via multiple programming models, which can be chosen at compilatio
 n time with or without accelerator support, for a hybrid process+thread+ac
 celerator configuration. Without loss of performance, nor readability, and
  with Strong and weak-scaling experiments on the Piz Daint supercompu
 ter show that the SPH mini-app can be efficiently executed with up to 65 b
 illion particles in total on 2,048 hybrid CPU-GPU nodes.\n\nDomain: CS and
  Math, Chemistry and Materials, Physics, Engineering
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