Characterizing the Performance of the GENE-X Code for Gyrokinetic Turbulence 
Simulations

Trilaksono, J.; Williams, Jeremy J.; Ulbl, P.; Dannert, T.; Laure, E.; Markidis, S.; Jenko, F.

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Characterizing the Performance of the GENE-X Code for Gyrokinetic Turbulence Simulations

Trilaksono, J., Williams, J. J., Ulbl, P., Dannert, T., Laure, E., Markidis, S., et al. (2024). Characterizing the Performance of the GENE-X Code for Gyrokinetic Turbulence Simulations. Poster presented at The International Conference for High Performance Computing, Networking, Storage, and Analysis (SC24), Atlanta, GA.

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Item Permalink: https://hdl.handle.net/21.11116/0000-0010-317B-D Version Permalink: https://hdl.handle.net/21.11116/0000-0010-317C-C

Genre: Poster

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Creators:
Trilaksono, J.¹, Author
Williams, Jeremy J.², Author
Ulbl, P.¹, Author
Dannert, T.³, Author
Laure, E.², Author
Markidis, S.², Author
Jenko, F.¹, Author

Affiliations:
1Tokamak Theory (TOK), Max Planck Institute for Plasma Physics, Max Planck Society, ou_1856309
2External Organizations, ou_persistent22
3Max Planck Computing and Data Facility, Max Planck Society, ou_2364734

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Language(s): eng - English

Dates: Submitted: 2024

Publication Status: Submitted

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Title: The International Conference for High Performance Computing, Networking, Storage, and Analysis (SC24)

Place of Event: Atlanta, GA

Start-/End Date: 2024-11-17 - 2024-11-22

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