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DTSTAMP:20190719T085754Z
LOCATION:HG D 3.2
DTSTART;TZID=Europe/Stockholm:20190614T133000
DTEND;TZID=Europe/Stockholm:20190614T153000
UID:submissions.pasc-conference.org_PASC19_sess157@linklings.com
SUMMARY:MS50 - Extreme CFD for Engineering Applications
DESCRIPTION:Minisymposium\nComputer Science and Applied Mathematics, Emerg
 ing Application Domains, Physics, Engineering\n\nOpenACC and Adaptive Mesh
  Refinement for Nek5000\n\nSchlatter, Gong, Otero, Peplinski, Offermans...
 \n\nNek5000 is an open-source code for the simulation of incompressible fl
 ows. Nek5000 is widely used in a broad range of applications, including th
 e study of wall turbulence, thermo-hydraulics and flow stability problems.
  In this talk, two aspects towards exascale for Nek5000 are discussed: 1) 
 OpenACC ...\n\n---------------------\nParallel Data Visualization for Nek5
 000 in ParaView\n\nFavre\n\nA parallel data interface to the native NEK500
 0 data format has been integrated into ParaView, the world leading open-so
 urce Visualization Application. ParaView itself can rely on two forms of p
 arallel libraries. providing on-the-node parallelism (e.g. TBB-based) and 
 inter-node parallelism with MPI....\n\n---------------------\nPrediction o
 f Turbulent Flows and Acoustic Fields on HPC Systems\n\nMeinke, Schneiders
 , Niemoeller, Schlottke-Lakemper, Schröder\n\nThis paper presents an advan
 ced methodology for the simulation of turbulent flows and aero-acoustic no
 ise. The computational method is based on Cartesian meshes with an immerse
 d boundary formulation, which allows to capture sharp interfaces of arbitr
 arily moving objects. Adaptive meshes combined wit...\n\n-----------------
 ----\nTowards Extreme-Scale Engineering Simulations on the K Computer\n\nJ
 ansson, Onishi, Bale, Tsubokura\n\nExtreme-scale engineering simulations p
 oses several challenges from mesh generation, scalable numerical methods t
 o analysis of large amount of data. We present our work on developing a ge
 neral simulation framework CUBE, for large scale engineering problems. Our
  method is based on a coupled finite-vo...\n
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