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DTSTAMP:20211207T054800Z
LOCATION:220-221
DTSTART;TZID=America/Chicago:20211116T143000
DTEND;TZID=America/Chicago:20211116T150000
UID:submissions.supercomputing.org_SC21_sess157_pap264@linklings.com
SUMMARY:A Next-Generation Discontinuous Galerkin Fluid Dynamics Solver wit
 h Application to High-Resolution Lung Airflow Simulations
DESCRIPTION:Paper\n\nA Next-Generation Discontinuous Galerkin Fluid Dynami
 cs Solver with Application to High-Resolution Lung Airflow Simulations\n\n
 Kronbichler, Fehn, Munch, Bergbauer, Wichmann...\n\nWe present a novel, hi
 ghly scalable, and optimized solver for turbulent flows based on high-orde
 r discontinuous Galerkin discretizations of the incompressible Navier-Stok
 es equations aimed to minimize time-to-solution. The solver uses explicit-
 implicit time integration with variable step size. The central algorithmic
  component is the matrix-free evaluation of discretized finite element ope
 rators. The node-level performance is optimized by sum-factorization kerne
 ls for tensor-product elements with unique algorithmic choices that reduce
  the number of arithmetic operations, improve cache usage, and vectorize t
 he arithmetic work across elements and faces. These ingredients are integr
 ated into a framework scalable to the massive parallelism of supercomputer
 s by the use of optimal-complexity linear solvers, such as mixed-precision
 , hybrid geometric-polynomial-algebraic multigrid solvers for the pressure
  Poisson problem. The application problem under consideration are fluid dy
 namical simulations of the human respiratory system under mechanical venti
 lation conditions, using unstructured/structured adaptively refined meshes
  for geometrically complex domains typical of biomedical engineering.\n\nT
 ag: Reproducibility Badge, Applications, Computational Science\n\nRegistra
 tion Category: Tech Program Reg Pass\n\nReproducibility Badges: Artifact A
 vailable
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