Dynamic Assignment with Process Migration in Distributed Environments. - Pawel Czarnul; Henryk Krawczyk (PVM/MPI, 1999)

Parallel Program Execution with Process Migration. - Pawel Czarnul; Henryk Krawczyk (PARELEC, 2000)

Dynamic Partitioning of the Divide-and-Conquer Scheme with Migration in PVM Environment. - Pawel Czarnul; Karen A. Tomko; Henryk Krawczyk (PVM/MPI, 2001)

Dynamic Process Partitioning and Migration for Irregular Applications. - Pawel Czarnul (PARELEC, 2002)

Development and Tuning of Irregular Divide-and-Conquer Applications in DAMPVM/DAC. - Pawel Czarnul (PVM/MPI, 2002)

Architecture and Implementation of Distributed Data Storage Using Web Services, CORBA and PVM. - Pawel Czarnul (PPAM, 2003)

PVMWebCluster: Integration of PVM Clusters Using Web Services and CORBA. - Pawel Czarnul (PVM/MPI, 2003)

Programming, Tuning and Automatic Parallelization of Irregular Divide-and-Conquer Applications in DAMPVM/DAC. - Pawel Czarnul (Int. J. High Perform. Comput. Appl., 2003)

Towards Efficient Parallel Image Processing on Cluster Grids Using GIMP. - Pawel Czarnul; Andrzej Ciereszko; Marcin Fraczak (International Conference on Computational Science, 2004)

Towards Easy-to-Use Checkpointing of MPI Applications within CLUSTERIX. - Pawel Czarnul; Arkadiusz Urbaniak; Marcin Fraczak; Maciej Dyczkowski; Bartlomiej Balcerek (PARELEC, 2004)

Parallel Simulations of Electrophysiological Phenomena in Myocardium on Large 32 and 64-bit Linux Clusters. - Pawel Czarnul; Krzysztof Grzeda (PVM/MPI, 2004)

Remote Task Submission and Publishing in BeesyCluster: Security and Efficiency of Web Service Interface. - Pawel Czarnul; Michal Bajor; Marcin Fraczak; Anna Banaszczyk; Marcin Fiszer; Katarzyna Ramczykowska (PPAM, 2005)

New User-Guided and ckpt-Based Checkpointing Libraries for Parallel MPI Applications. - Pawel Czarnul; Marcin Fraczak (PVM/MPI, 2005)

Integration of Compute-Intensive Tasks into Scientific Workflows in BeesyCluster, . - Pawel Czarnul (International Conference on Computational Science (3), 2006)

Reaching and Maintaining High Quality of Distributed J2EE Applications - BeesyCluster Case Study. - Pawel Czarnul (SET, 2006)

BC-MPI: Running an MPI Application on Multiple Clusters with BeesyCluster Connectivity. - Pawel Czarnul (PPAM, 2007)

A JEE-Based Modelling and Execution Environment for Workflow Applications with Just-in-Time Service Selection. - Pawel Czarnul (GPC Workshops, 2009)

Modelling, Optimization and Execution of Workflow Applications with Data Distribution, Service Selection and Budget Constraints in BeesyCluster. - Pawel Czarnul (IMCSIT, 2010)

Multi-level Parallelization with Parallel Computational Services in BeesyCluster. - Pawel Czarnul (IMCSIT, 2010)

BeesyBees - Efficient and Reliable Execution of Service-based Workflow Applications for BeesyCluster using Distributed Agents. - Pawel Czarnul; Mariusz R. Matuszek; Michal Wójcik; Karol Zalewski (IMCSIT, 2010)

Dynamic Compatibility Matching of Services for Distributed Workflow Execution. - Pawel Czarnul; Michal Wójcik (PPAM (2), 2011)

BeesyBees: A mobile agent-based middleware for a reliable and secure execution of service-based workflow applications in BeesyCluster. - Pawel Czarnul; Mariusz R. Matuszek; Michal Wójcik; Karol Zalewski (Multiagent Grid Syst., 2011)

Parallelization of Compute Intensive Applications into Workflows based on Services in BeesyCluster. - Pawel Czarnul (Scalable Comput. Pract. Exp., 2011)

Integration of cloud-based services into distributed workflow systems: challenges and solutions. - Pawel Czarnul (Scalable Comput. Pract. Exp., 2012)

Design of a distributed system using mobile devices and workflow management for measurement and control of a smart home and health. - Pawel Czarnul (HSI, 2013)

Parallel Computations in the Volunteer-Based Comcute System. - Pawel Czarnul; Jaroslaw Kuchta; Mariusz R. Matuszek (PPAM (1), 2013)

An Evaluation Engine for Dynamic Ranking of Cloud Providers. - Pawel Czarnul (Informatica (Slovenia), 2013)

Modeling, run-time optimization and execution of distributed workflow applications in the JEE-based BeesyCluster environment. - Pawel Czarnul (J. Supercomput., 2013)

A model, design, and implementation of an efficient multithreaded workflow execution engine with data streaming, caching, and storage constraints. - Pawel Czarnul (J. Supercomput., 2013)

A Workflow Application for Parallel Processing of Big Data from an Internet Portal. - Pawel Czarnul (ICCS, 2014)

Teaching High Performance Computing Using BeesyCluster and Relevant Usage Statistics*. - Pawel Czarnul (ICCS, 2014)

Optimization of Execution Time under Power Consumption Constraints in a Heterogeneous Parallel System with GPUs and CPUs. - Pawel Czarnul; Pawel Rosciszewski (ICDCN, 2014)

Comparison of selected algorithms for scheduling workflow applications with dynamically changing service availability. - Pawel Czarnul (J. Zhejiang Univ. Sci. C, 2014)

Suitability of BeesyCluster and Mobile Development Platforms in Modern Distributed Workflow Applications for Distributed Data Acquisition and Processing. - Pawel Czarnul (Issues and Challenges in Artificial Intelligence, 2014)

Integration of Services into Workflow Applications. - Pawel Czarnul (Chapman and Hall/CRC, 2015)

Simulation of parallel similarity measure computations for large data sets. - Pawel Czarnul; Pawel Rosciszewski; Mariusz R. Matuszek; Julian Szymanski (CYBCONF, 2015)

Parallelization of Divide-and-Conquer Applications on Intel Xeon Phi with an OpenMP Based Framework. - Pawel Czarnul (ISAT (3), 2015)

Considerations of Computational Efficiency in Volunteer and Cluster Computing. - Pawel Czarnul; Mariusz R. Matuszek (PPAM (2), 2015)

Performance and Power-Aware Modeling of MPI Applications for Cluster Computing. - Jerzy Proficz; Pawel Czarnul (PPAM (2), 2015)

Modeling energy consumption of parallel applications. - Pawel Czarnul; Jaroslaw Kuchta; Pawel Rosciszewski; Jerzy Proficz (FedCSIS, 2016)

A Parallel MPI I/O Solution Supported by Byte-addressable Non-volatile RAM Distributed Cache. - Artur Malinowski; Pawel Czarnul; Piotr Dorozynski; Krzysztof Czurylo; Lukasz Dorau; Maciej Maciejewski; Pawel Skowron (FedCSIS (Position Papers), 2016)

Checkpointing of Parallel MPI Applications using MPI One-sided API with Support for Byte-addressable Non-volatile RAM. - Piotr Dorozynski; Pawel Czarnul; Artur Malinowski; Krzysztof Czurylo; Lukasz Dorau; Maciej Maciejewski; Pawel Skowron (ICCS, 2016)

A Fail-Safe NVRAM Based Mechanism for Efficient Creation and Recovery of Data Copies in Parallel MPI Applications. - Artur Malinowski; Pawel Czarnul; Maciej Maciejewski; Pawel Skowron (ISAT (2), 2016)

KernelHive: a new workflow-based framework for multilevel high performance computing using clusters and workstations with CPUs and GPUs. - Pawel Rosciszewski; Pawel Czarnul; Rafal Lewandowski; Marcel Schally-Kacprzak (Concurr. Comput. Pract. Exp., 2016)

Distributed NVRAM Cache - Optimization and Evaluation with Power of Adjacency Matrix. - Artur Malinowski; Pawel Czarnul (CISIM, 2017)

Multi-agent large-scale parallel crowd simulation. - Artur Malinowski; Pawel Czarnul; Krzysztof Czurylo; Maciej Maciejewski; Pawel Skowron (ICCS, 2017)

Parallelization of Selected Algorithms on Multi-core CPUs, a Cluster and in a Hybrid CPU+Xeon Phi Environment. - Adam Krzywaniak; Pawel Czarnul (ISAT (1), 2017)

Benchmarking Performance of a Hybrid Intel Xeon/Xeon Phi System for Parallel Computation of Similarity Measures Between Large Vectors. - Pawel Czarnul (Int. J. Parallel Program., 2017)

MERPSYS: An environment for simulation of parallel application execution on large scale HPC systems. - Pawel Czarnul; Jaroslaw Kuchta; Mariusz R. Matuszek; Jerzy Proficz; Pawel Rosciszewski; Michal Wójcik; Julian Szymanski (Simul. Model. Pract. Theory, 2017)

Performance evaluation of unified memory and dynamic parallelism for selected parallel CUDA applications. - Lukasz Jarzabek; Pawel Czarnul (J. Supercomput., 2017)

Parallel Programming for Modern High Performance Computing Systems - Pawel Czarnul (Chapman and Hall/CRC Press/Taylor & Francis, 2018)

Benchmarking overlapping communication and computations with multiple streams for modern GPUs. - Pawel Czarnul (FedCSIS (Communication Papers), 2018)

Analyzing energy/performance trade-offs with power capping for parallel applications on modern multi and many core processors. - Adam Krzywaniak; Jerzy Proficz; Pawel Czarnul (FedCSIS, 2018)

Benchmarking Parallel Chess Search in Stockfish on Intel Xeon and Intel Xeon Phi Processors. - Pawel Czarnul (ICCS (3), 2018)

Modelling and simulation of GPU processing in the MERPSYS environment. - Tomasz Gajger; Pawel Czarnul (Scalable Comput. Pract. Exp., 2018)

A Solution to Image Processing with Parallel MPI I/O and Distributed NVRAM Cache. - Artur Malinowski; Pawel Czarnul (Scalable Comput. Pract. Exp., 2018)

Parallelization of large vector similarity computations in a hybrid CPU+GPU environment. - Pawel Czarnul (J. Supercomput., 2018)

Use of ICT infrastructure for teaching HPC. - Pawel Czarnul; Mariusz R. Matuszek (CSIT (1), 2019)

Auto-tuning methodology for configuration and application parameters of hybrid CPU + GPU parallel systems based on expert knowledge. - Pawel Czarnul; Pawel Rosciszewski (HPCS, 2019)

Extended investigation of performance-energy trade-offs under power capping in HPC environments. - Adam Krzywaniak; Pawel Czarnul; Jerzy Proficz (HPCS, 2019)

The impact of the AC922 Architecture on Performance of Deep Neural Network Training. - Pawel Rosciszewski; Michal Iwanski; Pawel Czarnul (HPCS, 2019)

Performance/Energy Aware Optimization of Parallel Applications on GPUs Under Power Capping. - Adam Krzywaniak; Pawel Czarnul (PPAM (2), 2019)

Multi-agent large-scale parallel crowd simulation with NVRAM-based distributed cache. - Artur Malinowski; Pawel Czarnul (J. Comput. Sci., 2019)

Energy-Aware High-Performance Computing: Survey of State-of-the-Art Tools, Techniques, and Environments. - Pawel Czarnul; Jerzy Proficz; Adam Krzywaniak (Sci. Program., 2019)

Performance evaluation of Unified Memory with prefetching and oversubscription for selected parallel CUDA applications on NVIDIA Pascal and Volta GPUs. - Marcin Knap; Pawel Czarnul (J. Supercomput., 2019)

Benchmarking Deep Neural Network Training Using Multi- and Many-Core Processors. - Klaudia Jablonska; Pawel Czarnul (CISIM, 2020)

Unit Test Generation in a Cluster Using Parallel Computations and Control Flow Graph Analysis. - Roman P. Bazylevych; Pawel Czarnul; Andrii Franko (CSIT (1), 2020)

Development and benchmarking a parallel Data AcQuisition framework using MPI with hash and hash+tree structures in a cluster environment. - Pawel Czarnul; Grzegorz Golaszewski; Grzegorz Jereczek; Maciej Maciejewski (ISPDC, 2020)

Investigation of Parallel Data Processing Using Hybrid High Performance CPU + GPU Systems and CUDA Streams. - Pawel Czarnul (Comput. Informatics, 2020)

Survey of Methodologies, Approaches, and Challenges in Parallel Programming Using High-Performance Computing Systems. - Pawel Czarnul; Jerzy Proficz; Krzysztof Drypczewski (Sci. Program., 2020)

Identification of Selected Resource-aware Problems Across Scientific Disciplines and Applications. - Pawel Czarnul; Mariusz R. Matuszek (CERCIRAS, 2021)

Decomposition of the unit test generation task for parallel computations. - Roman P. Bazylevych; Pawel Czarnul; Andrii Franko (CSIT (1), 2021)

Human awareness versus Autonomous Vehicles view: comparison of reaction times during emergencies. - Aleksander Rydzewski; Pawel Czarnul (IV, 2021)

Food Classification from Images Using a Neural Network Based Approach with NVIDIA Volta and Pascal GPUs. - Ewa Tusien; Aleksandra Wilke; Joanna Wozna; Pawel Czarnul (CISIM, 2022)

GPU Power Capping for Energy-Performance Trade-Offs in Training of Deep Convolutional Neural Networks for Image Recognition. - Adam Krzywaniak; Pawel Czarnul; Jerzy Proficz (ICCS (1), 2022)

Dataset Related Experimental Investigation of Chess Position Evaluation Using a Deep Neural Network. - Dawid Wieczerzak; Pawel Czarnul (PPAM (1), 2022)

Optimization of Data Assignment for Parallel Processing in a Hybrid Heterogeneous Environment Using Integer Linear Programming. - Tomasz Boinski; Pawel Czarnul (Comput. J., 2022)

DEPO: A dynamic energy-performance optimizer tool for automatic power capping for energy efficient high-performance computing. - Adam Krzywaniak; Pawel Czarnul; Jerzy Proficz (Softw. Pract. Exp., 2022)

Performance and Energy Aware Training of a Deep Neural Network in a Multi-GPU Environment with Power Capping. - Grzegorz Koszczal; Jan Dobrosolski; Mariusz R. Matuszek; Pawel Czarnul (Euro-Par Workshops, 2023)

Performance assessment of OpenMP constructs and benchmarks using modern compilers and multi-core CPUs. - Bartlomiej Gawrych; Pawel Czarnul (FedCSIS, 2023)

The Idea of a Student Research Project as a Method of Preparing a Student for Professional and Scientific Work. - Krzysztof Nowicki 001; Mariusz Kaczmarek; Pawel Czarnul (ICCS (5), 2023)

A multithreaded CUDA and OpenMP based power-aware programming framework for multi-node GPU systems. - Pawel Czarnul (Concurr. Comput. Pract. Exp., 2023)

Long-time scale simulations of virus-like particles from three human-norovirus strains. - Agnieszka G. Lipska; Adam K. Sieradzan; Cezary Czaplewski; Andrea D. Lipinska; Krzysztof M. Ocetkiewicz; Jerzy Proficz; Pawel Czarnul; Henryk Krawczyk; Adam Liwo (J. Comput. Chem., 2023)

Efficient parallel implementation of crowd simulation using a hybrid CPU+GPU high performance computing system. - Jakub Skrzypczak; Pawel Czarnul (Simul. Model. Pract. Theory, 2023)

Optimization of parallel implementation of UNRES package for coarse-grained simulations to treat large proteins. - 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 (J. Comput. Chem., 2023)

Dynamic GPU power capping with online performance tracing for energy efficient GPU computing using DEPO tool. - Adam Krzywaniak; Pawel Czarnul; Jerzy Proficz (Future Gener. Comput. Syst., 2023)

Investigation of Performance and Energy Consumption of Tokenization Algorithms on Multi-core CPUs Under Power Capping. - Oksana Diakun; Jan Dobrosolski; Pawel Czarnul (CISIM, 2024)

Dataset Characteristics and Their Impact on Offline Policy Learning of Contextual Multi-Armed Bandits. - Piotr Januszewski; Dominik Grzegorzek; Pawel Czarnul (ICAART (2), 2024)

Teaching High-performance Computing Systems - A Case Study with Parallel Programming APIs: MPI, OpenMP and CUDA. - Pawel Czarnul; Mariusz R. Matuszek; Adam Krzywaniak (ICCS (7), 2024)

Multi-GPU UNRES for scalable coarse-grained simulations of very large protein systems. - Krzysztof M. Ocetkiewicz; Cezary Czaplewski; Henryk Krawczyk; Agnieszka G. Lipska; Adam Liwo; Jerzy Proficz; Adam K. Sieradzan; Pawel Czarnul (Comput. Phys. Commun., 2024)

Investigation of CUDA Graphs Performance for Selected Parallel Applications. - Oksana Diakun; Pawel Czarnul (ICCS (4), 2025)

Performance-Energy Investigation of Selected Applications Using a Parallel Multi-GPU Genetic Algorithm Under Power Capping. - Filip Magdziak; Pawel Czarnul (ICCS (Workshops 1), 2025)

Research on problem formulations in resource-aware problems across scientific domains and applications. - Pawel Czarnul; Mariusz R. Matuszek (Comput. Sci. Inf. Syst., 2025)

Comparison and analysis of software and hardware energy measurement methods for a CPU+GPU system and selected parallel applications. - Grzegorz Koszczal; Mariusz R. Matuszek; Pawel Czarnul (Comput. Sci. Inf. Syst., 2025)

Optimization of resource-aware parallel and distributed computing: a review. - Pawel Czarnul; Marcel Antal; Hamza Baniata; Dalvan Griebler; Attila Kertész; Christoph W. Kessler; Andreas Kouloumpris; Salko Kovacic; András Márkus; Maria K. Michael; Panagiota Nikolaou; Isil Öz; et al. (J. Supercomput., 2025)