Jiri Filipovic

According to our database, Jiri Filipovic authored at least 24 papers between 2008 and 2023.

Collaborative distances:

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

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, November, 2023

pyCaverDock: Python implementation of the popular tool for analysis of ligand transport with advanced caching and batch calculation support.

Ondrej Vavra, Jakub Beránek, Jan Stourac, Martin Surkovský, Jiri Filipovic, Jirí Damborský, Jan Martinovic, David Bednar

Bioinform., August, 2023

Kernel Tuning Toolkit.

Filip Petrovic, Jiri Filipovic

SoftwareX, May, 2023

Towards a Benchmarking Suite for Kernel Tuners.

Jacob O. Tørring, Ben van Werkhoven, Filip Petrovic, Floris-Jan Willemsen, Jiri Filipovic, Anne C. Elster

Proceedings of the IEEE International Parallel and Distributed Processing Symposium, 2023

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

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

CaverDock: A Novel Method for the Fast Analysis of Ligand Transport.

Jiri Filipovic, Ondrej Vávra, Jan Plhak, David Bednar, Sérgio M. Marques, Jan Brezovsky, Ludek Matyska, Jirí Damborský

IEEE ACM Trans. Comput. Biol. Bioinform., 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

2019

Caver Web 1.0: identification of tunnels and channels in proteins and analysis of ligand transport.

Jan Stourac, Ondrej Vavra, Piia Kokkonen, Jiri Filipovic, Gaspar R. P. Pinto, Jan Brezovsky, Jirí Damborský, David Bednar

Nucleic Acids Res., 2019

A GPU acceleration of 3-D Fourier reconstruction in cryo-EM.

David Strelák, Carlos Oscar Sánchez Sorzano, José María Carazo, Jiri Filipovic

Int. J. High Perform. Comput. Appl., 2019

CaverDock: a molecular docking-based tool to analyse ligand transport through protein tunnels and channels.

Ondrej Vavra, Jiri Filipovic, Jan Plhak, David Bednar, Sérgio M. Marques, Jan Brezovsky, Jan Stourac, Ludek Matyska, Jirí Damborský

Bioinform., 2019

2018

Performance analysis and autotuning setup of the cuFFT library.

David Strelák, Jiri Filipovic

Proceedings of the 2nd Workshop on AutotuniNg and aDaptivity AppRoaches for Energy efficient HPC Systems, 2018

2017

Autotuning of OpenCL Kernels with Global Optimizations.

Jiri Filipovic, Filip Petrovic, Siegfried Benkner

Proceedings of the 1st Workshop on AutotuniNg and aDaptivity AppRoaches for Energy efficient HPC Systems, 2017

2015

Optimizing CUDA code by kernel fusion: application on BLAS.

Jiri Filipovic, Matus Madzin, Jan Fousek, Ludek Matyska

J. Supercomput., 2015

OpenCL Kernel Fusion for GPU, Xeon Phi and CPU.

Jiri Filipovic, Siegfried Benkner

Proceedings of the 27th International Symposium on Computer Architecture and High Performance Computing, 2015

Acceleration of dRMSD calculation and efficient usage of GPU caches.

Jiri Filipovic, Jan Plhak, David Strelák

Proceedings of the 2015 International Conference on High Performance Computing & Simulation, 2015

2011

Distributed Construction of Configuration Spaces for Real-Time Haptic Deformation Modeling.

Igor Peterlík, Jiri Filipovic

IEEE Trans. Ind. Electron., 2011

Automatic fusions of CUDA-GPU kernels for parallel map.

Jan Fousek, Jiri Filipovic, Matus Madzin

SIGARCH Comput. Archit. News, 2011

2010

Haptic Rendering Based on RBF Approximation from Dynamically Updated Data.

Jan Fousek, Tomas Golembiovsky, Jiri Filipovic, Igor Peterlík

Proceedings of the Sixth Doctoral Workshop on Mathematical and Engineering Methods in Computer Science, 2010

2009

On-line precomputation algorithm for real-time haptic interaction with non-linear deformable bodies.

Jiri Filipovic, Igor Peterlík, Ludek Matyska

Proceedings of the World Haptics 2009, 2009

2008

Multiple Ligand Trajectory Docking Study - Semiautomatic Analysis of Molecular Dynamics Simulations using EGEE gLite Services.

Ales Krenek, Martin Petrek, Jan Kmunícek, Jiri Filipovic, Zdenek Sustr, Frantisek Dvorák, Jirí Sitera, Jiri Wiesner, Ludek Matyska

Proceedings of the 16th Euromicro International Conference on Parallel, 2008

Job Provenance - Insight into Very Large Provenance Datasets.

Ales Krenek, Ludek Matyska, Jirí Sitera, Miroslav Ruda, Frantisek Dvorák, Jiri Filipovic, Zdenek Sustr, Zdenek Salvet

Proceedings of the Provenance and Annotation of Data and Processes, 2008