Prohlížení dle autora "Vysocký, Ondřej"
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A massively parallel and memory-efficient FEM toolbox with a hybrid total FETI solver with accelerator support
Říha, Lubomír; Merta, Michal; Vavřík, Radim; Brzobohatý, Tomáš; Markopoulos, Alexandros; Meca, Ondřej; Vysocký, Ondřej; Kozubek, Tomáš; Vondrák, Vít (International Journal of High Performance Computing Applications. 2019, vol. 33, issue 4, p. 660-677.) -
A massively parallel and memory-efficient FEM toolbox with a hybrid total FETI solver with accelerator support
Říha, Lubomír; Merta, Michal; Vavřík, Radim; Brzobohatý, Tomáš; Markopoulos, Alexandros; Meca, Ondřej; Vysocký, Ondřej; Kozubek, Tomáš; Vondrák, Vít (International Journal of High Performance Computing Applications. 2018.) -
Analýza a optimalizace GPGPU akcelerovaných aplikací z pohledu spotřeby energie
Velička, Daniel (Bakalářská práce, 2022) -
Application instrumentation for performance analysis and tuning with focus on energy efficiency
Vysocký, Ondřej; Říha, Lubomír; Bartolini, Andrea (Concurrency and Computation: Practice & Experience. 2020.) -
DGX-A100 face to face DGX-2-performance, power and thermal behavior evaluation
Špeťko, Matej; Vysocký, Ondřej; Jansík, Branislav; Říha, Lubomír (Energies. 2021, vol. 14, issue 2, art. no. 376.) -
Domain knowledge specification for energy tuning
Kumaraswamy, Madhura; Chowdhury, Anamika; Gerndt, Michael; Bendifallah, Zakaria; Bouizi, Othman; Locans, Uldis; Říha, Lubomír; Vysocký, Ondřej; Beseda, Martin; Zapletal, Jan (Concurrency and Computation: Practice & Experience. 2019, vol. 31, issue 6, special issue, art. no. E4650.) -
Dynamic energy-efficiency optimization of GPGPU accelerated applications
Velička, Daniel (Diplomová práce, 2025) -
Dynamic parameters tuning for HPC clusters exploitation
Vysocký, Ondřej (Disertační práce, 2024) -
Energy-efficient implementation of the lattice Boltzmann method
Vysocký, Ondřej; Holzer, Markus; Staffelbach, Gabriel; Vavřík, Radim; Říha, Lubomír (Energies. 2024, vol. 17, issue 2, art. no. 502.) -
Evaluation of the HPC applications dynamic behavior in terms of energy consumption
Vysocký, Ondřej; Beseda, Martin; Říha, Lubomír; Zapletal, Jan; Lysaght, Michael; Kannan, Venkatesh (Iványi, P., B.H.V. Topping and G. Várady (Editors). Proceedings of the Fifth International Conference on Parallel, Distributed, Grid and Cloud Computing for Engineering. Stirlingshire: Civil-Comp Press, 2017, Paper 3, 2017.) -
MERIC and RADAR generator: tools for energy evaluation and runtime tuning of HPC applications
Vysocký, Ondřej; Beseda, Martin; Říha, Lubomír; Lysaght, Michael; Kannan, Venkatesh (Kozubek T. et al., eds. High performance computing in science and engineering : third international conference, HPCSE 2017, Karolinka, Czech Republic, May 22–25, 2017: revised selected papers. Cham : Springer, 2018. p. 144-159. Lecture Notes in Computer Science, vol. 11087.) -
Predikce budoucího chování výpočetního clusteru na základě historických dat
Král, Roman (Diplomová práce, 2023)