On the performance of relaxation and adaptive explicit Runge-Kutta schemes for high-order compressible flow simulations

Rasha Al Jahdali; Lisandro Dalcin; Matteo Parsani

doi:10.1016/j.jcp.2022.111333

On the performance of relaxation and adaptive explicit Runge-Kutta schemes for high-order compressible flow simulations

Rasha Al Jahdali, Lisandro Dalcin, Matteo Parsani

Research output: Contribution to journal › Article › peer-review

Original language	English (US)
Pages (from-to)	111333
Journal	Journal of Computational Physics
Volume	464
DOIs	https://doi.org/10.1016/j.jcp.2022.111333
State	Published - May 31 2022

Bibliographical note

KAUST Repository Item: Exported on 2022-09-14
Acknowledged KAUST grant number(s): OSR-2019-CCF-3666
Acknowledgements: The work described in this paper was supported by King Abdullah University of Science and Technology through the award OSR-2019-CCF-3666. We are thankful to the Supercomputing Laboratory and the Extreme Computing Research Center at King Abdullah University of Science and Technology for their computing resources.

ASJC Scopus subject areas

Physics and Astronomy (miscellaneous)
Computer Science Applications

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10.1016/j.jcp.2022.111333

https://repository.kaust.edu.sa/bitstream/10754/679757/1/1-s2.0-S0021999122003953-main.pdf

Cite this

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title = "On the performance of relaxation and adaptive explicit Runge-Kutta schemes for high-order compressible flow simulations",

author = "{Al Jahdali}, Rasha and Lisandro Dalcin and Matteo Parsani",

note = "KAUST Repository Item: Exported on 2022-09-14 Acknowledged KAUST grant number(s): OSR-2019-CCF-3666 Acknowledgements: The work described in this paper was supported by King Abdullah University of Science and Technology through the award OSR-2019-CCF-3666. We are thankful to the Supercomputing Laboratory and the Extreme Computing Research Center at King Abdullah University of Science and Technology for their computing resources.",

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doi = "10.1016/j.jcp.2022.111333",

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AU - Al Jahdali, Rasha

AU - Dalcin, Lisandro

AU - Parsani, Matteo

N1 - KAUST Repository Item: Exported on 2022-09-14 Acknowledged KAUST grant number(s): OSR-2019-CCF-3666 Acknowledgements: The work described in this paper was supported by King Abdullah University of Science and Technology through the award OSR-2019-CCF-3666. We are thankful to the Supercomputing Laboratory and the Extreme Computing Research Center at King Abdullah University of Science and Technology for their computing resources.

PY - 2022/5/31

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U2 - 10.1016/j.jcp.2022.111333

DO - 10.1016/j.jcp.2022.111333

M3 - Article

SN - 1090-2716

VL - 464

SP - 111333

JO - Journal of Computational Physics

JF - Journal of Computational Physics

ER -

On the performance of relaxation and adaptive explicit Runge-Kutta schemes for high-order compressible flow simulations

Bibliographical note

ASJC Scopus subject areas

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