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Jaroslav Oľha
Jaroslav Oľha
Afiliação desconhecida
Email confirmado em ics.muni.cz
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A benchmark set of highly-efficient CUDA and OpenCL kernels and its dynamic autotuning with Kernel Tuning Toolkit
F Petrovič, D Střelák, J Hozzová, J Ol’ha, R Trembecký, S Benkner, ...
Future Generation Computer Systems 108, 161-177, 2020
572020
Learned metric index—proposition of learned indexing for unstructured data
M Antol, J Ol’ha, T Slanináková, V Dohnal
Information Systems 100, 101774, 2021
352021
Using hardware performance counters to speed up autotuning convergence on GPUs
J Filipovič, J Hozzová, A Nezarat, J Ol'ha, F Petrovič
Journal of Parallel and Distributed Computing 160, 16-35, 2022
202022
Data-driven learned metric index: an unsupervised approach
T Slanináková, M Antol, J OǏha, V Kaňa, V Dohnal
Similarity Search and Applications: 14th International Conference, SISAP …, 2021
202021
Exploiting historical data: Pruning autotuning spaces and estimating the number of tuning steps
J Oľha, J Hozzová, J Fousek, J Filipovič
Concurrency and Computation: Practice and Experience 32 (21), e5962, 2020
82020
Learned indexing in proteins: substituting complex distance calculations with embedding and clustering techniques
J Olha, T Slanináková, M Gendiar, M Antol, V Dohnal
International Conference on Similarity Search and Applications, 274-282, 2022
72022
AlphaFind: discover structure similarity across the proteome in AlphaFold DB
D Procházka, T Slanináková, J Olha, A Rošinec, K Grešová, M Jánošová, ...
Nucleic Acids Research 52 (W1), W182-W186, 2024
62024
SISAP 2023 Indexing Challenge–Learned Metric Index
T Slanináková, D Procházka, M Antol, J Olha, V Dohnal
International Conference on Similarity Search and Applications, 282-290, 2023
52023
Reproducible experiments with learned metric index framework
T Slanináková, M Antol, J Ol’ha, V Dohnal, S Ladra, MA Martínez-Prieto
Information Systems 118, 102255, 2023
52023
Umpalumpa: a framework for efficient execution of complex image processing workloads on heterogeneous nodes
D Střelák, D Myška, F Petrovič, J Polák, J Ol’ha, J Filipovič
Computing 105 (11), 2389-2417, 2023
42023
Property Map Collective Variable as a Useful Tool for a Force Field Correction
D Trapl, M Krupicka, V Visnovsky, J Hozzová, J Ol’ha, A Krenek, V Spiwok
Journal of Chemical Information and Modeling 62 (3), 567-576, 2022
32022
Searching CUDA code autotuning spaces with hardware performance counters: data from benchmarks running on various GPU architectures
J Hozzová, J Filipovič, A Nezarat, J Ol’ha, F Petrovič
Data in Brief 39, 107631, 2021
32021
Estimating resource budgets to ensure autotuning efficiency
J Olha, J Hozzová, M Antol, J Filipovič
Parallel Computing, 103126, 2025
22025
Scaling learned metric index to 100m datasets
D Procházka, T Slanináková, J Čerňanský, J Olha, M Antol, V Dohnal
International Conference on Similarity Search and Applications, 266-273, 2024
22024
AlphaFind: Discover structure similarity across the entire known proteome
D Procházka, T Slanináková, J Olha, A Rošinec, K Grešová, M Jánošová, ...
bioRxiv, 2024.02. 15.580465, 2024
22024
Learned Indexing in Proteins: Extended Work on Substituting Complex Distance Calculations with Embedding and Clustering Techniques
J Oľha, T Slanináková, M Gendiar, M Antol, V Dohnal
arXiv preprint arXiv:2208.08910, 2022
12022
Searching CUDA code autotuning spaces with hardware performance counters: data from benchmarks running on various GPU architectures
J Filipovič, J Hozzová, A Nezarat, J Oľha, F Petrovič
arXiv preprint arXiv:2102.05299, 2021
12021
Acceleration of Mean Square Distance Calculations with Floating Close Structure in Metadynamics Simulations
J Pazúriková, J Oľha, A Křenek, V Spiwok
arXiv preprint arXiv:1801.02362, 2018
12018
Calculation of dissociation constants using triangulation methods
J Oľha
Masaryk University, Faculty of Informatics, 2012
12012
AlphaFind—discover structure similarity across the proteome in AlphaFold DB
T Slanináková, D Procházka, J Oľha, A Rošinec, K Grešová, J Čillík, ...
2024
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