Prohlížení dle autora "Říha, Lubomír"
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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.) -
Application instrumentation for performance analysis and tuning with focus on energy efficiency
Vysocký, Ondřej; Říha, Lubomír; Bartolini, Andrea (Concurrency and Computation: Practice & Experience. 2020.) -
Batched transpose-free ADI-type preconditioners for a Poisson solver on GPGPUs
Arbenz, Peter; Říha, Lubomír (Journal of Parallel and Distributed Computing. 2020, vol. 137, p. 148-159.) -
Communication efficient work distributions in stencil operation based applications
Schneible, Joseph; Říha, Lubomír; Malik, Maria; El-Ghazawi, Tarek; Alexandru, Andrei (Concurrency and Computation: Practice and Experience. 2015, vol. 27, issue 13, p. 3262-3280.) -
Controlling Blender Software by Using Devices for Virtual Reality
Sovják, Martin (Bakalářská práce, 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) -
The energy consumption optimization of the BLAS routines
Sojka, Radim; Říha, Lubomír; Horák, David; Kružík, Jakub; Beseda, Martin; Čermák, Martin (In: Simos, Theodore and Charalambos Tsitouras, eds. Proceedings of International Conference of Numerical Analysis and Applied Mathematics (ICNAAM 2016), 19-25 September 2016, Rhodes, Greece. AIP conference proceedings, no. 1863. Meville, N.Y.: AIP Publishing, 2017, art. no. 340015.) -
Energy consumption optimization of the Total-FETI solver and BLAS routines by changing the CPU frequency
Horák, David; Říha, Lubomír; Sojka, Radim; Kružík, Jakub; Beseda, Martin (International Conference on High Performance Computing & Simulation (HPCS), Innsbruck, Austria, 2016. 2016, p. 1031-1032) -
Energy consumption optimization of the Total-FETI solver by changing the CPU frequency
Horák, David; Říha, Lubomír; Sojka, Radim; Kružík, Jakub; Beseda, Martin; Čermák, Martin; Schuchart, Joseph (Simos, Theodore and Charalambos Tsitouras, eds. Proceedings of International Conference of Numerical Analysis and Applied Mathematics (ICNAAM 2016), 19-25 September 2016, Rhodes, Greece. AIP conference proceedings, no. 1863. Meville, N.Y.: AIP Publishing, 2017, art. no. 340004.) -
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.) -
Evaluation of the Intel Xeon Phi offload runtimes for domain decomposition solvers
Malý, Lukáš; Zapletal, Jan; Merta, Michal; Říha, Lubomír; Vondrák, Vít (Advances in Engineering Software. 2018, vol. 125, p. 146-154.) -
GPU accelerated path tracing of massive scenes
Jaroš, Milan; Říha, Lubomír; Strakoš, Petr; Špeťko, Matěj (ACM Transactions on Graphics. 2021, vol. 40, issue 2, art. no. 16.) -
Hybrid multi-model ensemble learning for reconstructing gridded runoff of Europe for 500 years
Singh, Ujjwal; Máca, Petr; Hanel, Martin; Markonis, Yannis; Nidamanuri, Rama Rao; Nasreen, Sadaf; Blöcher, Johanna Ruth; Strnad, Filip; Vorel, Jiří; Říha, Lubomír; Raghubanshi, Akhilesh Singh (Information Fusion. 2023, vol. 97, art. no. 101807.) -
Hybrid parallelization of the total FETI solver
Říha, Lubomír; Brzobohatý, Tomáš; Markopoulos, Alexandros (Advances in Engineering Software. 2017, vol. 103, p. 29-37.) -
Implementation of K-means segmentation algorithm on Intel Xeon Phi and GPU: Application in medical imaging
Jaroš, Milan; Strakoš, Petr; Karásek, Tomáš; Říha, Lubomír; Vašatová, Alena; Jarošová, Marta; Kozubek, Tomáš (Advances in Engineering Software. 2017, vol. 103, p. 21-28.) -
Implementation of the efficient communication layer for the highly parallel total FETI and hybrid total FETI solvers
Říha, Lubomír; Brzobohatý, Tomáš; Markopoulos, Alexandros; Jarošová, Marta; Kozubek, Tomáš; Horák, David; Hapla, Václav (Parallel Computing. 2016, vol. 57, p. 154-166.)