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UID:submissions.pasc-conference.org_PASC19_sess122_msa266@linklings.com
SUMMARY:SPH-EXA: A Smoothed Particle Hydrodynamics Miniapp for Exascale Co
 mputing
DESCRIPTION:Minisymposium\nComputer Science and Applied Mathematics, Physi
 cs\n\nSPH-EXA: A Smoothed Particle Hydrodynamics Miniapp for Exascale Comp
 uting\n\nCiorba, Cavelan, Guerrera, Cabezon\n\nWe present the roadmap
  and developments of SPH-EXA, a miniapp designed to perform parallel Smoot
 hed Particles Hydrodynamics (SPH) simulations that scale and exploit the c
 omputational power of existing and up and coming supercomputers. The SPH-E
 XA miniapp is a self-contained C++ software package that approximates a fu
 lly Lagrangian SPH application in less than 5,000 lines of code. Its devel
 opment is the result of the interdisciplinary collaboration with
  users and developers of three well-known SPH implementations: SPHYNX[1], 
 ChaNGa[2], and SPH-flow[3]) within the SPH-EXA PASC project[4]. The SPH-EX
 A miniapp software package is simple and lightweight, with MPI+OpenMP supp
 ort for execution on today’s supercomputers comprising multiple mult
 icore [accelerated] nodes. The miniapp combines distributed algorithms wit
 h tasking-based implementations for delivering scalable and resilient perf
 ormance on up and coming hardware architectures. In this talk we will pres
 ent the status of the miniapp, summarizing its designing phase and the res
 ults achieved on two test scenarios: the gravitational collapse of a gaseo
 us cloud (Evrard collapse[5]) and a rotating square patch of fluid[6]. We 
 will also discuss the inclusion of the SPH-EXA miniapp in the Standard Per
 formance Evaluation Corporation’s novel HPC2020 benchmark suite.<br 
 />[1] http://astro.physik.unibas.ch/sphynx<br />[2] http://faculty.washing
 ton.edu/trq/hpcc/tools/changa.html<br />[3] http://www.nextflow-software.c
 om/<br />[4] https://www.pasc-ch.org/projects/2017-2020/sph-exa/<br />[5] 
 http://padis.uniroma1.it/handle/10805/688 (2D version)<br />[6] https
 ://dl.acm.org/citation.cfm?id=2982891
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