New Paper ‘On the robustness and performance of entropy stable discontinuous collocation methods’ on arXiv

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Diego Rojas, Radouan Boukharfane, Lisandro Dalcin, David C Del Rey Fernández, David E Keyes, Matteo Parsani, and I have published our new paper On the robustness and performance of entropy stable discontinuous collocation methods on arXiv.

In computational fluid dynamics, the demand for increasingly multidisciplinary reliable simulations, for both analysis and design optimization purposes, requires transformational advances in individual components of future solvers. At the algorithmic level, hardware compatibility and efficiency are of paramount importance in determining viability at exascale and beyond. However, equally important (if not more so) is algorithmic robustness with minimal user intervention, which becomes progressively more challenging to achieve as problem size and physics complexity increase. We numerically show that low and high order entropy stable discontinuous spatial discretizations based on summation-by-part operators and simultaneous-approximation-terms technique provide an essential step toward a truly enabling technology in terms of reliability and robustness for both under-resolved turbulent flow simulations and flows with discontinuities.