Jaroslav Olha

20 papers B 5Journal 14Unranked 1
YearRankTypeTitle / Venue / Authors
2025 J jnl
Estimating resource budgets to ensure autotuning efficiency.
Parallel Comput.
Jaroslav Olha, Jana Hozzová, Matej Antol, Jiri Filipovic
2025 B conf
On the Costs and Benefits of Learned Indexing for Dynamic High-Dimensional Data.
DaWaK
Terézia Slanináková, Jaroslav Olha, David Procházka, Matej Antol, Vlastislav Dohnal
2025 J jnl
On the Costs and Benefits of Learned Indexing for Dynamic High-Dimensional Data: Extended Version.
CoRR
Terézia Slanináková, Jaroslav Olha, David Procházka, Matej Antol, Vlastislav Dohnal
2024 B conf
Scaling Learned Metric Index to 100M Datasets.
SISAP
David Procházka, Terézia Slanináková, Jozef Cernanský, Jaroslav Olha, Matej Antol, Vlastislav Dohnal
2023 J jnl
Reproducible experiments with Learned Metric Index Framework.
Inf. Syst.
Terézia Slanináková, Matej Antol, Jaroslav Olha, Vlastislav Dohnal, Susana Ladra, Miguel A. Martínez-Prieto
2023 B conf
SISAP 2023 Indexing Challenge - Learned Metric Index.
SISAP
Terézia Slanináková, David Procházka, Matej Antol, Jaroslav Olha, Vlastislav Dohnal
2023 J jnl
Umpalumpa: a framework for efficient execution of complex image processing workloads on heterogeneous nodes.
Computing
David Strelák, David Myska, Filip Petrovic, Jan Polák, Jaroslav Olha, Jiri Filipovic
2022 B conf
Learned Indexing in Proteins: Substituting Complex Distance Calculations with Embedding and Clustering Techniques.
SISAP
Jaroslav Olha, Terézia Slanináková, Martin Gendiar, Matej Antol, Vlastislav Dohnal
2022 J jnl
Learned Indexing in Proteins: Substituting Complex Distance Calculations with Embedding and Clustering Techniques.
CoRR
Jaroslav Olha, Terézia Slanináková, Martin Gendiar, Matej Antol, Vlastislav Dohnal
2022 J jnl
Property Map Collective Variable as a Useful Tool for a Force Field Correction.
J. Chem. Inf. Model.
Dalibor Trapl, Martin Krupicka, Vladimír Visnovský, Jana Hozzová, Jaroslav Olha, Ales Krenek, Vojtech Spiwok
2022 J jnl
Using hardware performance counters to speed up autotuning convergence on GPUs.
J. Parallel Distributed Comput.
Jiri Filipovic, Jana Hozzová, Amin Nezarat, Jaroslav Olha, Filip Petrovic
2021 B conf
Data-Driven Learned Metric Index: An Unsupervised Approach.
SISAP
Terézia Slanináková, Matej Antol, Jaroslav Olha, Vojtech Kana, Vlastislav Dohnal
2021 J jnl
Learned Metric Index - Proposition of learned indexing for unstructured data.
Inf. Syst.
Matej Antol, Jaroslav Olha, Terézia Slanináková, Vlastislav Dohnal
2021 J jnl
Searching CUDA code autotuning spaces with hardware performance counters: data from benchmarks running on various GPU architectures.
CoRR
Jiri Filipovic, Jana Hozzová, Amin Nezarat, Jaroslav Olha, Filip Petrovic
2021 J jnl
Using hardware performance counters to speed up autotuning convergence on GPUs.
CoRR
Jiri Filipovic, Jana Hozzová, Amin Nezarat, Jaroslav Olha, Filip Petrovic
2020 J jnl
A benchmark set of highly-efficient CUDA and OpenCL kernels and its dynamic autotuning with Kernel Tuning Toolkit.
Future Gener. Comput. Syst.
Filip Petrovic, David Strelák, Jana Hozzová, Jaroslav Olha, Richard Trembecký, Siegfried Benkner, Jiri Filipovic
2020 J jnl
Exploiting historical data: Pruning autotuning spaces and estimating the number of tuning steps.
Concurr. Comput. Pract. Exp.
Jaroslav Olha, Jana Hozzová, Jan Fousek, Jiri Filipovic
2019 J jnl
A Benchmark Set of Highly-efficient CUDA and OpenCL Kernels and its Dynamic Autotuning with Kernel Tuning Toolkit.
CoRR
Filip Petrovic, David Strelák, Jana Hozzová, Jaroslav Olha, Richard Trembecký, Siegfried Benkner, Jiri Filipovic
2019 — conf
Exploiting Historical Data: Pruning Autotuning Spaces and Estimating the Number of Tuning Steps.
Euro-Par Workshops
Jaroslav Olha, Jana Hozzová, Jan Fousek, Jiri Filipovic
2018 J jnl
Acceleration of Mean Square Distance Calculations with Floating Close Structure in Metadynamics Simulations.
CoRR
Jana Pazúriková, Jaroslav Olha, Ales Krenek, Vojtech Spiwok