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ORCIDPawel Czarnul
Person information
- affiliation: Gdansk University of Technology, Poland
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2020 – today
- 2024
[j28]Krzysztof M. Ocetkiewicz, Cezary Czaplewski, Henryk Krawczyk, Agnieszka G. Lipska, Adam Liwo, Jerzy Proficz, Adam K. Sieradzan
, Pawel Czarnul:
Multi-GPU UNRES for scalable coarse-grained simulations of very large protein systems. Comput. Phys. Commun. 298: 109112 (2024)- [c59]Oksana Diakun, Jan Dobrosolski, Pawel Czarnul:
Investigation of Performance and Energy Consumption of Tokenization Algorithms on Multi-core CPUs Under Power Capping. CISIM 2024: 332-346 - [c58]Piotr Januszewski, Dominik Grzegorzek, Pawel Czarnul:
Dataset Characteristics and Their Impact on Offline Policy Learning of Contextual Multi-Armed Bandits. ICAART (2) 2024: 87-98 - [c57]Pawel Czarnul, Mariusz R. Matuszek, Adam Krzywaniak:
Teaching High-performance Computing Systems - A Case Study with Parallel Programming APIs: MPI, OpenMP and CUDA. ICCS (7) 2024: 398-412 - 2023
- [j27]Pawel Czarnul:
A multithreaded CUDA and OpenMP based power-aware programming framework for multi-node GPU systems. Concurr. Comput. Pract. Exp. 35(25) (2023) - [j26]Adam Krzywaniak, Pawel Czarnul, Jerzy Proficz:
Dynamic GPU power capping with online performance tracing for energy efficient GPU computing using DEPO tool. Future Gener. Comput. Syst. 145: 396-414 (2023) - [j25]Adam K. Sieradzan, Jordi Sans-Duñó, Emilia A. Lubecka, Cezary Czaplewski, Agnieszka G. Lipska, Henryk Leszczynski, Krzysztof M. Ocetkiewicz, Jerzy Proficz, Pawel Czarnul, Henryk Krawczyk, Adam Liwo:
Optimization of parallel implementation of UNRES package for coarse-grained simulations to treat large proteins. J. Comput. Chem. 44(4): 602-625 (2023) - [j24]Agnieszka G. Lipska, Adam K. Sieradzan, Cezary Czaplewski, Andrea D. Lipinska, Krzysztof M. Ocetkiewicz, Jerzy Proficz, Pawel Czarnul, Henryk Krawczyk, Adam Liwo:
Long-time scale simulations of virus-like particles from three human-norovirus strains. J. Comput. Chem. 44(16): 1470-1483 (2023) - [j23]Jakub Skrzypczak, Pawel Czarnul:
Efficient parallel implementation of crowd simulation using a hybrid CPU+GPU high performance computing system. Simul. Model. Pract. Theory 123: 102691 (2023) - [c56]Grzegorz Koszczal, Jan Dobrosolski, Mariusz R. Matuszek, Pawel Czarnul:
Performance and Energy Aware Training of a Deep Neural Network in a Multi-GPU Environment with Power Capping. Euro-Par Workshops 2023: 5-16 - [c55]Bartlomiej Gawrych, Pawel Czarnul:
Performance assessment of OpenMP constructs and benchmarks using modern compilers and multi-core CPUs. FedCSIS 2023: 973-978 - [c54]Krzysztof Nowicki, Mariusz Kaczmarek, Pawel Czarnul:
The Idea of a Student Research Project as a Method of Preparing a Student for Professional and Scientific Work. ICCS (5) 2023: 691-706 - 2022
- [j22]Tomasz Boinski, Pawel Czarnul:
Optimization of Data Assignment for Parallel Processing in a Hybrid Heterogeneous Environment Using Integer Linear Programming. Comput. J. 65(6): 1412-1433 (2022) - [j21]Adam Krzywaniak, Pawel Czarnul, Jerzy Proficz:
DEPO: A dynamic energy-performance optimizer tool for automatic power capping for energy efficient high-performance computing. Softw. Pract. Exp. 52(12): 2598-2634 (2022) - [c53]Ewa Tusien, Aleksandra Wilke, Joanna Wozna, Pawel Czarnul:
Food Classification from Images Using a Neural Network Based Approach with NVIDIA Volta and Pascal GPUs. CISIM 2022: 269-283 - [c52]Adam Krzywaniak, Pawel Czarnul, Jerzy Proficz:
GPU Power Capping for Energy-Performance Trade-Offs in Training of Deep Convolutional Neural Networks for Image Recognition. ICCS (1) 2022: 667-681 - [c51]Dawid Wieczerzak, Pawel Czarnul:
Dataset Related Experimental Investigation of Chess Position Evaluation Using a Deep Neural Network. PPAM (1) 2022: 429-440 - 2021
- [c50]Pawel Czarnul, Mariusz R. Matuszek:
Identification of Selected Resource-aware Problems Across Scientific Disciplines and Applications. CERCIRAS 2021 - [c49]Roman P. Bazylevych, Pawel Czarnul, Andrii Franko:
Decomposition of the unit test generation task for parallel computations. CSIT (1) 2021: 1-4 - [c48]Aleksander Rydzewski, Pawel Czarnul:
Human awareness versus Autonomous Vehicles view: comparison of reaction times during emergencies. IV 2021: 732-739 - 2020
- [j20]Pawel Czarnul:
Investigation of Parallel Data Processing Using Hybrid High Performance CPU + GPU Systems and CUDA Streams. Comput. Informatics 39(3): 510-536 (2020) - [j19]Pawel Czarnul, Jerzy Proficz, Krzysztof Drypczewski:
Survey of Methodologies, Approaches, and Challenges in Parallel Programming Using High-Performance Computing Systems. Sci. Program. 2020: 4176794:1-4176794:19 (2020) - [c47]Klaudia Jablonska, Pawel Czarnul:
Benchmarking Deep Neural Network Training Using Multi- and Many-Core Processors. CISIM 2020: 230-242 - [c46]Roman P. Bazylevych, Pawel Czarnul, Andrii Franko:
Unit Test Generation in a Cluster Using Parallel Computations and Control Flow Graph Analysis. CSIT (1) 2020: 407-410 - [c45]Pawel Czarnul, Grzegorz Golaszewski, Grzegorz Jereczek, Maciej Maciejewski:
Development and benchmarking a parallel Data AcQuisition framework using MPI with hash and hash+tree structures in a cluster environment. ISPDC 2020: 164-171
2010 – 2019
- 2019
- [j18]Artur Malinowski, Pawel Czarnul:
Multi-agent large-scale parallel crowd simulation with NVRAM-based distributed cache. J. Comput. Sci. 33: 83-94 (2019) - [j17]Pawel Czarnul, Jerzy Proficz, Adam Krzywaniak:
Energy-Aware High-Performance Computing: Survey of State-of-the-Art Tools, Techniques, and Environments. Sci. Program. 2019: 8348791:1-8348791:19 (2019) - [j16]Marcin Knap, Pawel Czarnul:
Performance evaluation of Unified Memory with prefetching and oversubscription for selected parallel CUDA applications on NVIDIA Pascal and Volta GPUs. J. Supercomput. 75(11): 7625-7645 (2019) - [c44]Pawel Czarnul, Mariusz R. Matuszek:
Use of ICT infrastructure for teaching HPC. CSIT (1) 2019: xvii-xxi - [c43]Adam Krzywaniak, Pawel Czarnul, Jerzy Proficz:
Extended investigation of performance-energy trade-offs under power capping in HPC environments. HPCS 2019: 440-447 - [c42]Pawel Czarnul, Pawel Rosciszewski:
Auto-tuning methodology for configuration and application parameters of hybrid CPU + GPU parallel systems based on expert knowledge. HPCS 2019: 551-558 - [c41]Pawel Rosciszewski, Michal Iwanski, Pawel Czarnul:
The impact of the AC922 Architecture on Performance of Deep Neural Network Training. HPCS 2019: 666-673 - [c40]Adam Krzywaniak, Pawel Czarnul:
Performance/Energy Aware Optimization of Parallel Applications on GPUs Under Power Capping. PPAM (2) 2019: 123-133 - 2018
- [b2]Pawel Czarnul:
Parallel Programming for Modern High Performance Computing Systems. Chapman and Hall/CRC Press/Taylor & Francis 2018, ISBN 9781138305953 - [j15]Artur Malinowski, Pawel Czarnul:
A Solution to Image Processing with Parallel MPI I/O and Distributed NVRAM Cache. Scalable Comput. Pract. Exp. 19(1): 1-14 (2018) - [j14]Tomasz Gajger, Pawel Czarnul:
Modelling and simulation of GPU processing in the MERPSYS environment. Scalable Comput. Pract. Exp. 19(4): 401-422 (2018) - [j13]Pawel Czarnul:
Parallelization of large vector similarity computations in a hybrid CPU+GPU environment. J. Supercomput. 74(2): 768-786 (2018) - [c39]Pawel Czarnul:
Benchmarking overlapping communication and computations with multiple streams for modern GPUs. FedCSIS (Communication Papers) 2018: 105-110 - [c38]Adam Krzywaniak, Jerzy Proficz, Pawel Czarnul:
Analyzing energy/performance trade-offs with power capping for parallel applications on modern multi and many core processors. FedCSIS 2018: 339-346 - [c37]Pawel Czarnul:
Benchmarking Parallel Chess Search in Stockfish on Intel Xeon and Intel Xeon Phi Processors. ICCS (3) 2018: 457-464 - 2017
- [j12]Pawel Czarnul:
Benchmarking Performance of a Hybrid Intel Xeon/Xeon Phi System for Parallel Computation of Similarity Measures Between Large Vectors. Int. J. Parallel Program. 45(5): 1091-1107 (2017) - [j11]Pawel Czarnul, Jaroslaw Kuchta, Mariusz R. Matuszek, Jerzy Proficz, Pawel Rosciszewski, Michal Wójcik, Julian Szymanski:
MERPSYS: An environment for simulation of parallel application execution on large scale HPC systems. Simul. Model. Pract. Theory 77: 124-140 (2017) - [j10]Lukasz Jarzabek, Pawel Czarnul:
Performance evaluation of unified memory and dynamic parallelism for selected parallel CUDA applications. J. Supercomput. 73(12): 5378-5401 (2017) - [c36]Artur Malinowski, Pawel Czarnul:
Distributed NVRAM Cache - Optimization and Evaluation with Power of Adjacency Matrix. CISIM 2017: 15-26 - [c35]Artur Malinowski, Pawel Czarnul, Krzysztof Czurylo, Maciej Maciejewski, Pawel Skowron:
Multi-agent large-scale parallel crowd simulation. ICCS 2017: 917-926 - [c34]Adam Krzywaniak, Pawel Czarnul:
Parallelization of Selected Algorithms on Multi-core CPUs, a Cluster and in a Hybrid CPU+Xeon Phi Environment. ISAT (1) 2017: 292-301 - 2016
- [j9]Pawel Rosciszewski, Pawel Czarnul, Rafal Lewandowski, Marcel Schally-Kacprzak:
KernelHive: a new workflow-based framework for multilevel high performance computing using clusters and workstations with CPUs and GPUs. Concurr. Comput. Pract. Exp. 28(9): 2586-2607 (2016) - [c33]Artur Malinowski, Pawel Czarnul, Piotr Dorozynski, Krzysztof Czurylo, Lukasz Dorau, Maciej Maciejewski, Pawel Skowron:
A Parallel MPI I/O Solution Supported by Byte-addressable Non-volatile RAM Distributed Cache. FedCSIS (Position Papers) 2016: 133-140 - [c32]Pawel Czarnul, Jaroslaw Kuchta, Pawel Rosciszewski, Jerzy Proficz:
Modeling energy consumption of parallel applications. FedCSIS 2016: 855-864 - [c31]Piotr Dorozynski, Pawel Czarnul, Artur Malinowski, Krzysztof Czurylo, Lukasz Dorau, Maciej Maciejewski, Pawel Skowron:
Checkpointing of Parallel MPI Applications using MPI One-sided API with Support for Byte-addressable Non-volatile RAM. ICCS 2016: 30-40 - [c30]Artur Malinowski, Pawel Czarnul, Maciej Maciejewski, Pawel Skowron:
A Fail-Safe NVRAM Based Mechanism for Efficient Creation and Recovery of Data Copies in Parallel MPI Applications. ISAT (2) 2016: 137-147 - 2015
- [b1]Pawel Czarnul:
Integration of Services into Workflow Applications. Chapman and Hall/CRC 2015, ISBN 978-1-49-870646-9 - [c29]Pawel Czarnul, Pawel Rosciszewski, Mariusz R. Matuszek, Julian Szymanski:
Simulation of parallel similarity measure computations for large data sets. CYBCONF 2015: 472-477 - [c28]Pawel Czarnul:
Parallelization of Divide-and-Conquer Applications on Intel Xeon Phi with an OpenMP Based Framework. ISAT (3) 2015: 99-111 - [c27]Pawel Czarnul, Mariusz R. Matuszek:
Considerations of Computational Efficiency in Volunteer and Cluster Computing. PPAM (2) 2015: 66-74 - [c26]Jerzy Proficz, Pawel Czarnul:
Performance and Power-Aware Modeling of MPI Applications for Cluster Computing. PPAM (2) 2015: 199-209 - 2014
- [j8]Pawel Czarnul:
Comparison of selected algorithms for scheduling workflow applications with dynamically changing service availability. J. Zhejiang Univ. Sci. C 15(6): 401-422 (2014) - [c25]Pawel Czarnul:
A Workflow Application for Parallel Processing of Big Data from an Internet Portal. ICCS 2014: 499-508 - [c24]Pawel Czarnul:
Teaching High Performance Computing Using BeesyCluster and Relevant Usage Statistics*. ICCS 2014: 1458-1467 - [c23]Pawel Czarnul, Pawel Rosciszewski:
Optimization of Execution Time under Power Consumption Constraints in a Heterogeneous Parallel System with GPUs and CPUs. ICDCN 2014: 66-80 - [p1]Pawel Czarnul:
Suitability of BeesyCluster and Mobile Development Platforms in Modern Distributed Workflow Applications for Distributed Data Acquisition and Processing. Issues and Challenges in Artificial Intelligence 2014: 115-126 - 2013
- [j7]Pawel Czarnul:
An Evaluation Engine for Dynamic Ranking of Cloud Providers. Informatica (Slovenia) 37(2): 123-130 (2013) - [j6]Pawel Czarnul:
Modeling, run-time optimization and execution of distributed workflow applications in the JEE-based BeesyCluster environment. J. Supercomput. 63(1): 46-71 (2013) - [j5]Pawel Czarnul:
A model, design, and implementation of an efficient multithreaded workflow execution engine with data streaming, caching, and storage constraints. J. Supercomput. 63(3): 919-945 (2013) - [c22]Pawel Czarnul:
Design of a distributed system using mobile devices and workflow management for measurement and control of a smart home and health. HSI 2013: 184-192 - [c21]Pawel Czarnul, Jaroslaw Kuchta, Mariusz R. Matuszek:
Parallel Computations in the Volunteer-Based Comcute System. PPAM (1) 2013: 261-271 - 2012
- [j4]Pawel Czarnul:
Integration of cloud-based services into distributed workflow systems: challenges and solutions. Scalable Comput. Pract. Exp. 13(4) (2012) - 2011
- [j3]Pawel Czarnul, Mariusz R. Matuszek, Michal Wójcik, Karol Zalewski:
BeesyBees: A mobile agent-based middleware for a reliable and secure execution of service-based workflow applications in BeesyCluster. Multiagent Grid Syst. 7(6): 219-241 (2011) - [j2]Pawel Czarnul:
Parallelization of Compute Intensive Applications into Workflows based on Services in BeesyCluster. Scalable Comput. Pract. Exp. 12(2) (2011) - [c20]Pawel Czarnul, Michal Wójcik:
Dynamic Compatibility Matching of Services for Distributed Workflow Execution. PPAM (2) 2011: 151-160 - 2010
- [c19]Pawel Czarnul, Mariusz R. Matuszek, Michal Wójcik, Karol Zalewski:
BeesyBees - Efficient and Reliable Execution of Service-based Workflow Applications for BeesyCluster using Distributed Agents. IMCSIT 2010: 173-180 - [c18]Pawel Czarnul:
Modelling, Optimization and Execution of Workflow Applications with Data Distribution, Service Selection and Budget Constraints in BeesyCluster. IMCSIT 2010: 629-636 - [c17]Pawel Czarnul:
Multi-level Parallelization with Parallel Computational Services in BeesyCluster. IMCSIT 2010: 637-645
2000 – 2009
- 2009
- [c16]Pawel Czarnul:
A JEE-Based Modelling and Execution Environment for Workflow Applications with Just-in-Time Service Selection. GPC Workshops 2009: 50-57 - 2007
- [c15]Pawel Czarnul:
BC-MPI: Running an MPI Application on Multiple Clusters with BeesyCluster Connectivity. PPAM 2007: 271-280 - 2006
- [c14]Pawel Czarnul:
Integration of Compute-Intensive Tasks into Scientific Workflows in BeesyCluster, . International Conference on Computational Science (3) 2006: 944-947 - [c13]Pawel Czarnul:
Reaching and Maintaining High Quality of Distributed J2EE Applications - BeesyCluster Case Study. SET 2006: 179-190 - 2005
- [c12]Pawel Czarnul, Michal Bajor, Marcin Fraczak, Anna Banaszczyk, Marcin Fiszer, Katarzyna Ramczykowska:
Remote Task Submission and Publishing in BeesyCluster: Security and Efficiency of Web Service Interface. PPAM 2005: 220-227 - [c11]Pawel Czarnul, Marcin Fraczak:
New User-Guided and ckpt-Based Checkpointing Libraries for Parallel MPI Applications. PVM/MPI 2005: 351-358 - 2004
- [c10]Pawel Czarnul, Andrzej Ciereszko, Marcin Fraczak:
Towards Efficient Parallel Image Processing on Cluster Grids Using GIMP. International Conference on Computational Science 2004: 451-458 - [c9]Pawel Czarnul, Arkadiusz Urbaniak, Marcin Fraczak, Maciej Dyczkowski, Bartlomiej Balcerek:
Towards Easy-to-Use Checkpointing of MPI Applications within CLUSTERIX. PARELEC 2004: 390-393 - [c8]Pawel Czarnul, Krzysztof Grzeda:
Parallel Simulations of Electrophysiological Phenomena in Myocardium on Large 32 and 64-bit Linux Clusters. PVM/MPI 2004: 234-241 - 2003
- [j1]Pawel Czarnul:
Programming, Tuning and Automatic Parallelization of Irregular Divide-and-Conquer Applications in DAMPVM/DAC. Int. J. High Perform. Comput. Appl. 17(1): 77-93 (2003) - [c7]Pawel Czarnul:
Architecture and Implementation of Distributed Data Storage Using Web Services, CORBA and PVM. PPAM 2003: 360-367 - [c6]Pawel Czarnul:
PVMWebCluster: Integration of PVM Clusters Using Web Services and CORBA. PVM/MPI 2003: 268-275 - 2002
- [c5]Pawel Czarnul:
Dynamic Process Partitioning and Migration for Irregular Applications. PARELEC 2002: 123- - [c4]Pawel Czarnul:
Development and Tuning of Irregular Divide-and-Conquer Applications in DAMPVM/DAC. PVM/MPI 2002: 208-216 - 2001
- [c3]Pawel Czarnul, Karen A. Tomko, Henryk Krawczyk:
Dynamic Partitioning of the Divide-and-Conquer Scheme with Migration in PVM Environment. PVM/MPI 2001: 174-182 - 2000
- [c2]Pawel Czarnul, Henryk Krawczyk:
Parallel Program Execution with Process Migration. PARELEC 2000: 50-54
1990 – 1999
- 1999
- [c1]Pawel Czarnul, Henryk Krawczyk:
Dynamic Assignment with Process Migration in Distributed Environments. PVM/MPI 1999: 509-516
Coauthor Index
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