Enabling GENE for Exascale Computing via Modern Data Science

Tanzarella, L.; Dannert, T; Görler, T.; Jenko, F.

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Enabling GENE for Exascale Computing via Modern Data Science

Tanzarella, L., Dannert, T., Görler, T., & Jenko, F. (2023). Enabling GENE for Exascale Computing via Modern Data Science. Poster presented at 86. Jahrestagung der DPG und DPG-Frühjahrstagung der Sektion Materie und Kosmos (SMuK), Dresden.

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Item Permalink: https://hdl.handle.net/21.11116/0000-000C-F705-8 Version Permalink: https://hdl.handle.net/21.11116/0000-000C-F706-7

Genre: Poster

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Creators:
Tanzarella, L.¹, Author
Dannert, T², Author
Görler, T.¹, Author
Jenko, F.¹, Author

Affiliations:
1Tokamak Theory (TOK), Max Planck Institute for Plasma Physics, Max Planck Society, ou_1856309
2External Organizations, ou_persistent22

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Language(s): eng - English

Dates: Submitted: 2023

Publication Status: Submitted

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Title: 86. Jahrestagung der DPG und DPG-Frühjahrstagung der Sektion Materie und Kosmos (SMuK)

Place of Event: Dresden

Start-/End Date: 2023-03-20 - 2023-03-24

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Title: Verhandlungen der Deutschen Physikalischen Gesellschaft

Other : Verhandl. DPG

Source Genre: Journal

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Publ. Info: Bad Honnef : DPG

Pages: - Volume / Issue: (VI) 58 (2) Sequence Number: P 12.31 Start / End Page: - Identifier: CoNE: https://pure.mpg.de/cone/journals/resource/04200195
ISSN: 0420-0195