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GENE-3D: A global gyrokinetic turbulence code for stellarators.

, , , , , , , , , и . J. Comput. Phys., (2020)

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Marco Merlo

Valeria Merlo

Claudia Merlo

Ana Maria Merlos-Lange

Patrizio Merloni

 

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GENE-3D: A global gyrokinetic turbulence code for stellarators., , , , , , , , , и . J. Comput. Phys., (2020)A general framework for quantifying uncertainty at scale and its application to fusion research., , и . CoRR, (2022)FanStore: Enabling Efficient and Scalable I/O for Distributed Deep Learning., , , , , , , и . CoRR, (2018)Coupling Exascale Multiphysics Applications: Methods and Lessons Learned., , , , , , , , , и 27 other автор(ы). eScience, стр. 442-452. IEEE Computer Society, (2018)Scalable Performance Awareness for In Situ Scientific Applications., , , , , , , , , и 1 other автор(ы). eScience, стр. 266-276. IEEE, (2019)The Exascale Framework for High Fidelity coupled Simulations (EFFIS): Enabling whole device modeling in fusion science., , , , , , , , , и 19 other автор(ы). Int. J. High Perform. Comput. Appl., 36 (1): 106-128 (2022)Multi-species collisions for delta-f gyrokinetic simulations: Implementation and verification with GENE., , , , , , , , , и . Comput. Phys. Commun., (2020)