Browsing Department of Computational and Data Sciences (CDS) by Subject "Parallel computing with deal.II"
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A scalable asynchronous discontinuous Galerkin method for massively parallel flow simulations
Accurate simulations of turbulent flows are crucial for understanding numerous complex phenomena in engineered systems and natural processes. Notably, under realistic conditions with high Reynolds numbers and complex ...