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TweTriS: Twenty trillion-atom simulation

, , , , , , , , , , , , , , , и . International Journal of High Performance Computing Applications, 33 (5): 838-854 (2019)
DOI: 10.1177/1094342018819741

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Philipp Neumann

Philipp Neumann

Philipp Neumann

Philipp Neumann

Philipp Neumann

 

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HiPC 2016 Workshop 3: Workshop on High Performance Computing and Big Data in Molecular Engineering (HBME)., , , и . HiPC Workshops, стр. 128-129. IEEE Computer Society, (2016)Teamwork Across Disciplines: High-Performance Computing Meets Engineering., , , и . Euro-Par Workshops, том 9523 из Lecture Notes in Computer Science, стр. 125-134. Springer, (2015)MaMiCo: Parallel Noise Reduction for Multi-instance Molecular-Continuum Flow Simulation., и . ICCS (4), том 11539 из Lecture Notes in Computer Science, стр. 451-464. Springer, (2019)AutoPas in ls1 mardyn: Massively parallel particle simulations with node-level auto-tuning., , , , , и . J. Comput. Sci., (2021)Robust classification using average correlations as features (ACF)., , и . BMC Bioinform., 24 (1): 101 (декабря 2023)Semantic interoperability and characterization of data provenance in computational molecular engineering, , , , , , , , , и 4 other автор(ы). Journal of Chemical & Engineering Data, 65 (3): 1313-1329 (2020)Characterization of data provenance in computational engineering by an ontological representation of simulation workflows, , , , , , , , и . Data Analytics and Management in Data Intensive Domains: Proceedings of the XXI.\ International Conference (DAMDID/RCDL 2019), стр. 493-494. Kazan Federal University, (2019)Fault Tolerance for Ensemble-based Molecular-Continuum Flow Simulations., и . HPC Asia, стр. 35-45. ACM, (2023)Convolutional Recurrent Autoencoder for Molecular-Continuum Coupling., , и . ICCS (4), том 14076 из Lecture Notes in Computer Science, стр. 535-549. Springer, (2023)Towards data-driven inference of stencils for discrete differential operators., и . PASC, стр. 4:1-4:11. ACM, (2022)