Jaroslav Olha

According to our database, Jaroslav Olha authored at least 16 papers between 2018 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

On the Costs and Benefits of Learned Indexing for Dynamic High-Dimensional Data: Extended Version.

Terézia Slanináková, Jaroslav Olha, David Procházka, Matej Antol, Vlastislav Dohnal

CoRR, July, 2025

Estimating resource budgets to ensure autotuning efficiency.

Jaroslav Olha, Jana Hozzová, Matej Antol, Jiri Filipovic

Parallel Comput., 2025

On the Costs and Benefits of Learned Indexing for Dynamic High-Dimensional Data.

Terézia Slanináková, Jaroslav Olha, David Procházka, Matej Antol, Vlastislav Dohnal

Proceedings of the Big Data Analytics and Knowledge Discovery, 2025

2024

Scaling Learned Metric Index to 100M Datasets.

David Procházka, Terézia Slanináková, Jozef Cernanský, Jaroslav Olha, Matej Antol, Vlastislav Dohnal

Proceedings of the Similarity Search and Applications - 17th International Conference, 2024

2023

Umpalumpa: a framework for efficient execution of complex image processing workloads on heterogeneous nodes.

David Strelák, David Myska, Filip Petrovic, Jan Polák, Jaroslav Olha, Jiri Filipovic

Computing, November, 2023

Reproducible experiments with Learned Metric Index Framework.

Terézia Slanináková, Matej Antol, Jaroslav Olha, Vlastislav Dohnal, Susana Ladra, Miguel A. Martínez-Prieto

Inf. Syst., September, 2023

SISAP 2023 Indexing Challenge - Learned Metric Index.

Terézia Slanináková, David Procházka, Matej Antol, Jaroslav Olha, Vlastislav Dohnal

Proceedings of the Similarity Search and Applications - 16th International Conference, 2023

2022

Using hardware performance counters to speed up autotuning convergence on GPUs.

Jiri Filipovic, Jana Hozzová, Amin Nezarat, Jaroslav Olha, Filip Petrovic

J. Parallel Distributed Comput., 2022

Property Map Collective Variable as a Useful Tool for a Force Field Correction.

Dalibor Trapl, Martin Krupicka, Vladimír Visnovský, Jana Hozzová, Jaroslav Olha, Ales Krenek, Vojtech Spiwok

J. Chem. Inf. Model., 2022

Learned Indexing in Proteins: Substituting Complex Distance Calculations with Embedding and Clustering Techniques.

Jaroslav Olha, Terézia Slanináková, Martin Gendiar, Matej Antol, Vlastislav Dohnal

Proceedings of the Similarity Search and Applications - 15th International Conference, 2022

2021

Learned Metric Index - Proposition of learned indexing for unstructured data.

Matej Antol, Jaroslav Olha, Terézia Slanináková, Vlastislav Dohnal

Inf. Syst., 2021

Searching CUDA code autotuning spaces with hardware performance counters: data from benchmarks running on various GPU architectures.

Jiri Filipovic, Jana Hozzová, Amin Nezarat, Jaroslav Olha, Filip Petrovic

CoRR, 2021

Data-Driven Learned Metric Index: An Unsupervised Approach.

Terézia Slanináková, Matej Antol, Jaroslav Olha, Vojtech Kana, Vlastislav Dohnal

Proceedings of the Similarity Search and Applications - 14th International Conference, 2021

2020

A benchmark set of highly-efficient CUDA and OpenCL kernels and its dynamic autotuning with Kernel Tuning Toolkit.

Filip Petrovic, David Strelák, Jana Hozzová, Jaroslav Olha, Richard Trembecký, Siegfried Benkner, Jiri Filipovic

Future Gener. Comput. Syst., 2020

2019

Exploiting Historical Data: Pruning Autotuning Spaces and Estimating the Number of Tuning Steps.

Jaroslav Olha, Jana Hozzová, Jan Fousek, Jiri Filipovic

Proceedings of the Euro-Par 2019: Parallel Processing Workshops, 2019

2018

Acceleration of Mean Square Distance Calculations with Floating Close Structure in Metadynamics Simulations.

Jana Pazúriková, Jaroslav Olha, Ales Krenek, Vojtech Spiwok

CoRR, 2018