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Vysocky, Ondrej
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1

Energy-Efficient Implementation of the Lattice Boltzmann Me..:

Vysocky, Ondrej ; Holzer, Markus ; Staffelbach, Gabriel..
Energies.  17 (2024)  2 - p. 502 , 2024
Link: https://doi.org/10.3390/..
 
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2

Scalable Flow Simulations with the Lattice Boltzmann Method:

, In: Proceedings of the 20th ACM International Conference on Computing Frontiers,
Holzer, Markus ; Staffelbach, Gabriel ; Rocchi, Ilan... - p. 297-303 , 2023
Link: https://dl.acm.org/doi/1..
 
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3

DGX-A100 Face to Face DGX-2—Performance, Power and Thermal ..:

Špeťko, Matej ; Vysocký, Ondřej ; Jansík, Branislav.
Energies.  14 (2021)  2 - p. 376 , 2021
Link: https://doi.org/10.3390/..
 
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4

Analysis and Visualization of the Dynamic Behavior of HPC A..:

, In: Lecture Notes in Computer Science; High Performance Computing in Science and Engineering,
Vysocky, Ondrej ; Peterek, Ivo ; Beseda, Martin... - p. 135-149 , 2021
Link: https://doi.org/10.1007/..
 
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5

Saving Energy Using the READEX Methodology:

, In: Tools for High Performance Computing 2018 / 2019,
Kumaraswamy, Madhura ; Chowdhury, Anamika ; Gocht, Andreas... - p. 27-53 , 2021
Link: https://doi.org/10.1007/..
 
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6

Application instrumentation for performance analysis and tu..:

Vysocký, Ondřej ; Říha, Lubomír ; Bartolini, Andrea
Concurrency and Computation: Practice and Experience.  33 (2020)  11 - p. , 2020
Link: https://doi.org/10.1002/..
 
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7

Overview of Application Instrumentation for Performance Ana..:

, In: Parallel Processing and Applied Mathematics; Lecture Notes in Computer Science,
Vysocky, Ondrej ; Riha, Lubomir ; Bartolini, Andrea - p. 159-168 , 2020
Link: https://doi.org/10.1007/..
 
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8

Run-Time Exploitation of Application Dynamism for Energy-Ef..:

, In: System-Scenario-based Design Principles and Applications,
Kjeldsberg, Per Gunnar ; Schöne, Robert ; Gerndt, Michael... - p. 113-126 , 2020
Link: https://doi.org/10.1007/..
 
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9

Toward an End-to-End Auto-tuning Framework in HPC PowerStac:

, In: 2020 IEEE International Conference on Cluster Computing (CLUSTER),
Wu, Xingfu ; Marathe, Aniruddha ; Jana, Siddhartha... - p. 473-483 , 2020
Link: https://doi.org/10.1109/..
 
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10

Domain knowledge specification for energy tuning:

Kumaraswamy, Madhura ; Chowdhury, Anamika ; Gerndt, Michael...
Concurrency and Computation: Practice and Experience.  31 (2018)  6 - p. , 2018
Link: https://doi.org/10.1002/..
 
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11

A massively parallel and memory-efficient FEM toolbox with ..:

Riha, Lubomir ; Merta, Michal ; Vavrik, Radim...
The International Journal of High Performance Computing Applications.  33 (2018)  4 - p. 660-677 , 2018
Link: https://doi.org/10.1177/..
 
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12

TREX Workshop: Code Tuning for the Exascale:

Jalby, William ; Valensi, Cédric ; Blaas-Schenner, Claudia...
info:eu-repo/grantAgreement/EC/H2020/952165/.  , 2023
Link: https://zenodo.org/recor..
 
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13

D5.1 Software Specification:

Pickartz, Simon ; Moschny, Thomas ; Couvée, Philippe...
info:eu-repo/grantAgreement/EC/H2020/101033975/.  , 2023
Link: https://zenodo.org/recor..
 
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14

Scalable Flow Simulations with the Lattice Boltzmann Method:

Holzer, Markus ; Staffelbach, Gabriel ; Rocchi, Ilan...
info:eu-repo/semantics/altIdentifier/doi/10.1145/3587135.3592176.  , 2023
Link: https://juser.fz-juelich..
 
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15

Scalable Flow Simulations with the Lattice Boltzmann Method:

Holzer, Markus ; Badwaik, Jayesh ; Vavrik, Radim...
http://arxiv.org/abs/2305.09910.  , 2023
Link: http://arxiv.org/abs/230..
 
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