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

ASJC Scopus subject areas

Physics and Astronomy (miscellaneous)
Computer Science Applications

Access to Document

10.1016/j.jcp.2022.111333

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

Cite this

@article{1dbdf61b2a1d4fa39fcc7683defe1a36,

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.",

year = "2022",

month = may,

day = "31",

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

language = "English (US)",

volume = "464",

pages = "111333",

journal = "Journal of Computational Physics",

issn = "1090-2716",

publisher = "Elsevier",

}

TY - JOUR

T1 - On the performance of relaxation and adaptive explicit Runge-Kutta schemes for high-order compressible flow simulations

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

Y1 - 2022/5/31

UR - http://hdl.handle.net/10754/679757

UR - https://linkinghub.elsevier.com/retrieve/pii/S0021999122003953

UR - http://www.scopus.com/inward/record.url?scp=85130316454&partnerID=8YFLogxK

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

ASJC Scopus subject areas

Access to Document

Other files and links

Cite this