Acceleration of Mean Square Distance Calculations with Floating Close Structure in Metadynamics Simulations. - Jana Pazúriková; Jaroslav Olha; Ales Krenek; Vojtech Spiwok (CoRR, 2018)

Exploiting historical data: Pruning autotuning spaces and estimating the number of tuning steps. - Jaroslav Olha; Jana Hozzová; Jan Fousek; Jiri Filipovic (Concurr. Comput. Pract. Exp., 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)

Data-Driven Learned Metric Index: An Unsupervised Approach. - Terézia Slanináková; Matej Antol; Jaroslav Olha; Vojtech Kana; Vlastislav Dohnal (SISAP, 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)

Learned Metric Index - Proposition of learned indexing for unstructured data. - Matej Antol; Jaroslav Olha; Terézia Slanináková; Vlastislav Dohnal (Inf. Syst., 2021)

Learned Indexing in Proteins: Substituting Complex Distance Calculations with Embedding and Clustering Techniques. - Jaroslav Olha; Terézia Slanináková; Martin Gendiar; Matej Antol; Vlastislav Dohnal (SISAP, 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)

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)

SISAP 2023 Indexing Challenge - Learned Metric Index. - Terézia Slanináková; David Procházka; Matej Antol; Jaroslav Olha; Vlastislav Dohnal (SISAP, 2023)

Reproducible experiments with Learned Metric Index Framework. - Terézia Slanináková; Matej Antol; Jaroslav Olha; Vlastislav Dohnal; Susana Ladra; Miguel A. Martínez-Prieto (Inf. Syst., 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, 2023)

Scaling Learned Metric Index to 100M Datasets. - David Procházka; Terézia Slanináková; Jozef Cernanský; Jaroslav Olha; Matej Antol; Vlastislav Dohnal (SISAP, 2024)

On the Costs and Benefits of Learned Indexing for Dynamic High-Dimensional Data. - Terézia Slanináková; Jaroslav Olha; David Procházka; Matej Antol; Vlastislav Dohnal (DaWaK, 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: Extended Version. - Terézia Slanináková; Jaroslav Olha; David Procházka; Matej Antol; Vlastislav Dohnal (CoRR, 2025)