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DTSTAMP:20210916T132446Z
LOCATION:Lise Girardin
DTSTART;TZID=Europe/Stockholm:20210705T140000
DTEND;TZID=Europe/Stockholm:20210705T143000
UID:submissions.pasc-conference.org_PASC21_sess105_pap_dec117@linklings.co
 m
SUMMARY:A Mini-App for Smoothed Particle Hydrodynamics at Exascale
DESCRIPTION:Paper\n\nA Mini-App for Smoothed Particle Hydrodynamics at Exa
 scale\n\nCavelan, Cabezón, Grabarczyk, Ciorba\n\nThe Smoothed Particles Hy
 drodynamics (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 (CF
 D). <br />It is expected that these computationally-demanding numerical si
 mulations will significantly benefit from the up-and-coming Exascale compu
 ting infrastructures, that will perform 1018 FLOP/s. <br />In this work, w
 e review the status of a novel SPH mini-app, which is the result of an int
 erdisciplinary 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 mini-app merges the main characteristics
  of three state-of-the-art parent SPH codes (namely code-X, code-Y, code-Z
 ) with state-of-the-art (parallel) programming, optimization, and parallel
 ization methods. The proposed SPH mini-app is a C++14 lightweight and flex
 ible header-only code with no external software dependencies. Parallelism 
 is expressed via multiple programming models, which can be chosen at compi
 lation time with or without accelerator support, for a hybrid process+thre
 ad+accelerator configuration. Strong- and weak-scaling experiments on a pr
 oduction supercomputer show that the SPH mini-app can be efficiently execu
 ted with up 267 million particles and up to 65 billion particles in total 
 on 2,048 hybrid CPU-GPU nodes.\n\nDomain: CS and Math, Engineering
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