Jana Hozzová

According to our database, Jana Hozzová authored at least 8 papers between 2020 and 2025.

Collaborative distances:

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

2025

Estimating resource budgets to ensure autotuning efficiency.

Jaroslav Olha, Jana Hozzová, Matej Antol, Jiri Filipovic

Parallel Comput., 2025

2024

FAIR Sharing of Data in Autotuning Research (Vision Paper).

Jana Hozzová, Jacob O. Tørring, Ben van Werkhoven, David Strelák, Richard W. Vuduc

Proceedings of the Companion of the 15th ACM/SPEC International Conference on Performance Engineering, 2024

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

Improving ligand transport trajectory within flexible receptor in CaverDock.

Petra Nemcová, Jana Hozzová, Jiri Filipovic

Proceedings of the SAC '22: The 37th ACM/SIGAPP Symposium on Applied Computing, Virtual Event, April 25, 2022

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

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

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