Search Results - "Olha, Jaroslav"

Exploiting historical data: Pruning autotuning spaces and estimating the number of tuning steps by Oľha, Jaroslav, Hozzová, Jana, Fousek, Jan, Filipovič, Jiří

“…Summary Autotuning, the practice of automatic tuning of applications to provide performance portability, has received increased attention in the research…”
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Reproducible experiments with Learned Metric Index Framework by Slanináková, Terézia, Antol, Matej, Ol’ha, Jaroslav, Dohnal, Vlastislav, Ladra, Susana, Martínez-Prieto, Miguel A.

“…This work is a companion reproducible paper of a previous paper (Antol et al., 2021) in which we presented an alternative to the traditional paradigm of…”
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Learned Metric Index — Proposition of learned indexing for unstructured data by Antol, Matej, Ol’ha, Jaroslav, Slanináková, Terézia, Dohnal, Vlastislav

“…The main paradigm of similarity searching in metric spaces has remained mostly unchanged for decades — data objects are organized into a hierarchical structure…”
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A benchmark set of highly-efficient CUDA and OpenCL kernels and its dynamic autotuning with Kernel Tuning Toolkit by Petrovič, Filip, Střelák, David, Hozzová, Jana, Ol’ha, Jaroslav, Trembecký, Richard, Benkner, Siegfried, Filipovič, Jiří

“…In recent years, the heterogeneity of both commodity and supercomputers hardware has increased sharply. Accelerators, such as GPUs or Intel Xeon Phi…”
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Property Map Collective Variable as a Useful Tool for a Force Field Correction by Trapl, Dalibor, Krupička, Martin, Višňovský, Vladimír, Hozzová, Jana, Ol’ha, Jaroslav, Křenek, Aleš, Spiwok, Vojtěch

“…The accuracy of biomolecular simulations depends on the accuracy of an empirical molecular mechanics potential known as a force field: a set of parameters and…”
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Umpalumpa: a framework for efficient execution of complex image processing workloads on heterogeneous nodes by Střelák, David, Myška, David, Petrovič, Filip, Polák, Jan, Ol’ha, Jaroslav, Filipovič, Jiří

“…Modern computers are typically heterogeneous devices—besides the standard central processing unit (CPU), they commonly include an accelerator such as a…”
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Searching CUDA code autotuning spaces with hardware performance counters: data from benchmarks running on various GPU architectures by Hozzová, Jana, Filipovič, Jiří, Nezarat, Amin, Ol’ha, Jaroslav, Petrovič, Filip

“…We have developed several autotuning benchmarks in CUDA that take into account performance-relevant source-code parameters and reach near peak-performance on…”
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AlphaFind: discover structure similarity across the proteome in AlphaFold DB by Procházka, David, Slanináková, Terézia, Olha, Jaroslav, Rošinec, Adrián, Grešová, Katarína, Jánošová, Miriama, Čillík, Jakub, Porubská, Jana, Svobodová, Radka, Dohnal, Vlastislav, Antol, Matej

“…AlphaFind is a web-based search engine that provides fast structure-based retrieval in the entire set of AlphaFold DB structures. Unlike other protein…”
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Using hardware performance counters to speed up autotuning convergence on GPUs by Filipovič, Jiří, Hozzová, Jana, Nezarat, Amin, Ol'ha, Jaroslav, Petrovič, Filip

“…•Introduces a novel tuning space searcher that utilizes hardware performance counters.•Hardware performance counters can navigate the searching process towards…”
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Learned Indexing in Proteins: Extended Work on Substituting Complex Distance Calculations with Embedding and Clustering Techniques by Oľha, Jaroslav, Slanináková, Terézia, Gendiar, Martin, Antol, Matej, Dohnal, Vlastislav

“…Despite the constant evolution of similarity searching research, it continues to face the same challenges stemming from the complexity of the data, such as the…”
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Searching CUDA code autotuning spaces with hardware performance counters: data from benchmarks running on various GPU architectures by Filipovič, Jiří, Hozzová, Jana, Nezarat, Amin, Oľha, Jaroslav, Petrovič, Filip

“…We have developed several autotuning benchmarks in CUDA that take into account performance-relevant source-code parameters and reach near peak-performance on…”
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Using hardware performance counters to speed up autotuning convergence on GPUs by Filipovič, Jiří, Hozzová, Jana, Nezarat, Amin, Oľha, Jaroslav, Petrovič, Filip

“…Nowadays, GPU accelerators are commonly used to speed up general-purpose computing tasks on a variety of hardware. However, due to the diversity of GPU…”
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A Benchmark Set of Highly-efficient CUDA and OpenCL Kernels and its Dynamic Autotuning with Kernel Tuning Toolkit by Petrovič, Filip, Střelák, David, Hozzová, Jana, Oľha, Jaroslav, Trembecký, Richard, Benkner, Siegfried, Filipovič, Jiří

“…Petrovic et al., A benchmark set of highly-efficient CUDA and OpenCL kernels and its dynamic autotuning with Kernel Tuning Toolkit. In Future Generation…”
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Acceleration of Mean Square Distance Calculations with Floating Close Structure in Metadynamics Simulations by Pazúriková, Jana, Oľha, Jaroslav, Křenek, Aleš, Spiwok, Vojtěch

“…Molecular dynamics simulates the~movements of atoms. Due to its high cost, many methods have been developed to "push the~simulation forward". One of them,…”
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