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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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