"Profiling and optimization of Python-based social sciences applications on ..."

Lukasz Szustak et al. (2023)

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DOI: 10.1016/J.FUTURE.2023.07.005

access: open

type: Journal Article

metadata version: 2023-11-12

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Lukasz Szustak, Marcin Lawenda, Sebastian Arming, Gregor Bankhamer, Christoph Schweimer, Robert Elsässer:
Profiling and optimization of Python-based social sciences applications on HPC systems by means of task and data parallelism. Future Gener. Comput. Syst. 148: 623-635 (2023)

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