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Smithsonian Institution

H-AMR: A New GPU-accelerated GRMHD Code for Exascale Computing with 3D Adaptive Mesh Refinement and Local Adaptive Time Stepping

Catalog Data

Author:
Liska, Matthew T. P.  Search this
Chatterjee, Koushik  Search this
Issa, D.  Search this
Yoon, D.  Search this
Kaaz, N.  Search this
Tchekhovskoy, A.  Search this
van Eijnatten, D.  Search this
Musoke, G.  Search this
Hesp, C.  Search this
Rohoza, V.  Search this
Markoff, S.  Search this
Ingram, A.  Search this
van der Klis, M.  Search this
Object Type:
Smithsonian staff publication
Year:
2022
Citation:
Liska, Matthew T. P., Chatterjee, Koushik, Issa, D., Yoon, D., Kaaz, N., Tchekhovskoy, A., van Eijnatten, D., Musoke, G., Hesp, C., Rohoza, V., Markoff, S., Ingram, A., and van der Klis, M. 2022. "H-AMR: A New GPU-accelerated GRMHD Code for Exascale Computing with 3D Adaptive Mesh Refinement and Local Adaptive Time Stepping." The Astrophysical Journal Supplement Series, 263 26. https://doi.org/10.3847/1538-4365/ac9966.
Identifier:
168298
DOI:
https://doi.org/10.3847/1538-4365/ac9966
ISSN:
0067-0049
Data source:
Smithsonian Libraries and Archives
EDAN-URL:
edanmdm:slasro_168298