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UID:submissions.pasc-conference.org_PASC23_sess184@linklings.com
SUMMARY:AP2E - ACM Papers Session 2E
DESCRIPTION:Paper\n\nExploiting Symmetries for Preconditioning Poisson's E
 quation in CFD Simulations\n\nDivergence constraints are present in the go
 verning equations of many physical phenomena, and they usually lead to a P
 oisson equation whose solution is one of the most challenging parts of sci
 entific simulation codes. Indeed, it is the main bottleneck of incompressi
 ble Computational Fluid Dynamics (...\n\n\nŔdel Alsalti-Baldellou (Polytec
 hnic University of Catalonia, Termo Fluids SL); Carlo Janna (University of
  Padova, M3E srl); Xavier Álvarez-Farré (SURF); and F. Xavier Trias (Polyt
 echnic University of Catalonia)\n---------------------\nAI Super-Resolutio
 n Subfilter Modeling for Multi-Physics Flows\n\nMany complex simulations a
 re extremely expensive and hardly if at all doable, even on current superc
 omputers. A typical reason for this are coupled length and time scales in 
 the application which need to be resolved simultaneously. As a result, man
 y simulation approaches rely on scale-splitting, whe...\n\n\nMathis Bode (
 Forschungszentrum Jülich)\n---------------------\nA Massively Parallel Mul
 ti-Scale FE2 Framework for Multi-Trillion Degrees of Freedom Simulations\n
 \nThe advent of hybrid CPU and accelerator supercomputers opens the door t
 o extremely large multi-scale simulations. An example of such a multi-scal
 e technique, the FE2 approach, has been designed to simulate material defo
 rmations, by getting a better estimation of the material properties, which
 , in e...\n\n\nCharles Moulinec (Science and Technology Facilities Council
 ); Guillaume Houzeaux, Ricard Borrell, Adria Quintanas, and Guillermo Oyar
 zun (Barcelona Supercomputing Center); Judicael Grasset (CNRS); and Guido 
 Giuntoli and Mariano Vazquez (Barcelona Supercomputing Center)\n\nDomain: 
 Engineering, Computer Science, Machine Learning, and Applied Mathematics &#8232;
 \n\nSession Chair: Nur Aiman Fadel (ETH Zurich / CSCS)
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