Publications
2023
Michal Wlasnowolski, Pawel Grabowski, Damian Roszczyk, Krzysztof Kaczmarski, Dariusz PlewczynskicudaMMC: GPU-enhanced multiscale Monte Carlo chromatin 3D modellingBioinformatics, Volume 39, Issue 10
2022
Krzysztof Kaczmarski, Jakub Narebski, Stanislaw Piotrowski, Piotr PrzymusFast JSON parser using metaprogramming on GPU.2022 IEEE 9th International Conference on Data Science and Advanced Analytics (DSAA)
Andrzej Lamecki, Krzysztof Kaczmarski, Joanna Porter-SobierajHierarchical data structures in rendering scenes containing a massive number of light sources.2022 17th Conference on Computer Science and Intelligence Systems (FedCSIS)
2019
Krzysztof Kaczmarski, Albert Wolant.GPU R-Trie: Dictionary with ultra fast lookup.Concurrency and Computation: Practice and Experience 31(19). John Wiley & Sons, Inc. 2019.
2018
Krzysztof Kaczmarski, Albert Wolant.Radix Tree for Binary Sequences on GPU.In: Wyrzykowski R., Dongarra J., Deelman E., Karczewski K. (eds) Parallel Processing and Applied Mathematics. PPAM 2017. Lecture Notes in Computer Science, vol 10777. 2018. Springer, Cham
Albert Wolant, Krzysztof Kaczmarski.S8401 - Flavors: Library of AI Powered Trie Structures for Fast Parallel Lookup,GPU Technology Conference 2018, 27 March 2018. San Jose, USA. 50 min. talk.
2017
Albert Wolant.Flavors - Library for Fast Parallel Lookup Using Custom Radix Trees.GTC Europe 11 October 2017.
Krzysztof Kaczmarski, Albert Wolant. Experimental R-Trie for GPU.PPAM 2017 Conference. Lublin Poland. 10-13 September 2017
Krzysztof Kaczmarski, Piotr Przymus.Fixed length lightweight compression for GPU revised.Journal of Parallel and Distributed Computing. Elsevier. September 2017. DOI: doi.org/10.1016/j.jpdc.2017.03.011
Piotr Przymus.Lightweight Compression Methods Achieving 120GBps and More.GPU Technology Conference 2017, San Jose, USA. 25 min. talk.
Krzysztof Kaczmarski, Paweł Kobojek, Ziad AL Bkhetan.Tool for dynamic thread/warp/block analysis and visualisation.GPU Technology Conference 2017, San Jose, USA. Poster session.
2016
Krzysztof Kaczmarski, Paweł Rzążewski, Albert Wolant.Parallel algorithms constructing the cell graph.Concurrency and Computation: Practice and Experience 29(23). John Wiley & Sons, Inc. 2016.
Krzysztof Kaczmarski, Pawel Rzazewski, Albert Wolant.Fast Detection of Neighboring Vectors.GPU Technology Conference 2016, San Jose, USA.
Piotr Przymus.GPGPU and (M)OLAP.Entrepôts de Données et l’Analyse en ligne EDA 2016, Aix-en-Provence, France. 03 May 2016
2015
Krzysztof Kaczmarski, Paweł Rzążewski, Albert Wolant.Massively Parallel Construction of the Cell Graph.Parallel Processing and Applied Mathematics Volume 9573 of the series Lecture Notes in Computer Science pp 559-569
Krzysztof Kaczmarski, Paweł Rzążewski, Albert Wolant.Massively Parallel Construction of the Cell GraphCoRR abs/1503.06029 (2015)
2014
Piotr Przymus, Krzysztof Kaczmarski, Paweł Rzążewski.Lightweight compression algorithms for database systems supported by GPU devices.Poster at: Programming and Tuning Massively Parallel Systems summer school (PUMPS), Barcelona, 2014. Best Poster Award of PUMPS 2014
Piotr Przymus.Query Optimization in Heterogeneous CPU/GPU Environment for Time Series Databases.PhD dissertation. supervisor: dr hab. Krzysztof Stencel (Institute of Informatics, University of Warsaw). co-supervisor: dr inż. Krzysztof Kaczmarski (Faculty of Mathematics and Information Science, Warsaw University of Technology). Toruń 2014.
Krzysztof Kaczmarski, Piotr Przymus, Paweł Rzążewski.Improving High-Performance GPU Graph Traversal with Compression.ADBIS 2014:201-214
Piotr Przymus, Krzysztof Kaczmarski, Krzysztof Stencel.A Bi-objective Optimization Framework for Heterogeneous CPU/GPU Query Plans.Fundam. Inform. (FUIN) 135(4):483-501 (2014)
Piotr Przymus, Krzysztof Kaczmarski.Compression Planner for Time Series Database with GPU Support.T. Large-Scale Data- and Knowledge-Centered Systems (TLSDKCS) 15:36-63 (2014)
Joanna Porter-Sobieraj, Sebastian Cygert, Daniel Kikola, Jan Sikorski, Marcin Slodkowski.Optimizing the computation of a parallel 3D finite difference algorithm for graphics processing units.Concurrency and Computation: Practice and Experience (CONCURRENCY) 27(6):1591-1602 (2015)
2013
Piotr Przymus, Krzysztof Kaczmarski.Time series databases with GPU support: Queries Processing and Dynamic compression strategy.Seminar at UMK. Toruń 2013.
Piotr Przymus, Krzysztof Kaczmarski.Time Series Queries Processing with GPU Support.ADBIS 2013. Volume 241 of the series Advances in Intelligent Systems and Computing pp 53-60. Springer-Verlag. ISBN: 978-3-319-01862-1
Piotr Przymus, Krzysztof Kaczmarski.Dynamic Compression Strategy for Time Series Database Using GPU.ADBIS 2013. New Trends in Databases and Information Systems Volume 241 of the series Advances in Intelligent Systems and Computing pp 235-244. Springer-Verlag. ISBN: 978-3-319-01862-1
Piotr Przymus, Krzysztof Kaczmarski, Krzysztof Stencel.A Bi-objective Optimization Framework for Heterogeneous CPU/GPU Query Plans.CS&P 2013:342-354