Mgr. et Mgr. Jaroslav Oľha
výzkumný a vývojový pracovník – Analýza a kooperace
Počet publikací: 11
2022
-
Property Map Collective Variable as a Useful Tool for a Force Field Correction
Journal of Chemical Information and Modeling, rok: 2022, ročník: 2022, vydání: 62, DOI
-
Using hardware performance counters to speed up autotuning convergence on GPUs
Journal of Parallel and Distributed Computing, rok: 2022, ročník: 160, vydání: February, DOI
2021
-
Complex simulation workflows in containerized high-performance environment
Proc. ESM 2021, rok: 2021
-
Data-driven Learned Metric Index: an Unsupervised Approach
14th International Conference on Similarity Search and Applications (SISAP 2021), rok: 2021
-
Learned metric index - proposition of learned indexing for unstructured data
Information Systems, rok: 2021, ročník: 100, vydání: 101774, DOI
-
Searching CUDA code autotuning spaces with hardware performance counters: data from benchmarks running on various GPU architectures
Data in Brief, rok: 2021, ročník: 39, vydání: December, DOI
2020
-
A benchmark set of highly-efficient CUDA and OpenCL kernels and its dynamic autotuning with Kernel Tuning Toolkit
Future Generation Computer Systems, rok: 2020, ročník: 108, vydání: July, DOI
-
Exploiting historical data: Pruning autotuning spaces and estimating the number of tuning steps
CONCURRENCY AND COMPUTATION-PRACTICE & EXPERIENCE, rok: 2020, ročník: 32, vydání: 21, DOI
-
Exploring Protein Folding Space with Neural Network Guided Simulations
MODELLING AND SIMULATION 2020, rok: 2020
2019
-
Exploiting historical data: pruning autotuning spaces and estimating the number of tuning steps
Lecture Notes in Computer Science, rok: 2019