On the robustness and performance of entropy stable collocated discontinuous Galerkin methods
Type
ArticleAuthors
Rojas, Diego B.
Boukharfane, Radouan

Dalcin, Lisandro

Del Rey Fernández, David C.
Ranocha, Hendrik

Keyes, David E.

Parsani, Matteo

KAUST Department
Applied Mathematics and Computational Science ProgramComputer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division
Extreme Computing Research Center
Office of the President
Date
2020-10-22Online Publication Date
2020-10-22Print Publication Date
2020-10Embargo End Date
2022-10-22Submitted Date
2019-11-21Permanent link to this record
http://hdl.handle.net/10754/665707
Metadata
Show full item recordAbstract
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 collocated discontinuous Galerkin discretizations based on summation-by-part operators and simultaneous-approximationterms 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.Citation
Rojas, D., Boukharfane, R., Dalcin, L., Del Rey Fernández, D. C., Ranocha, H., Keyes, D. E., & Parsani, M. (2020). On the robustness and performance of entropy stable collocated discontinuous Galerkin methods. Journal of Computational Physics, 109891. doi:10.1016/j.jcp.2020.109891Sponsors
The research reported in this paper was funded by King Abdullah University of Science and Technology. We are thankful for the computing resources of the Supercomputing Laboratory and the Extreme Computing Research Center at King Abdullah University of Science and Technology.Publisher
Elsevier BVJournal
Journal of Computational PhysicsAdditional Links
https://linkinghub.elsevier.com/retrieve/pii/S0021999120306653ae974a485f413a2113503eed53cd6c53
10.1016/j.jcp.2020.109891