Pawel Czarnul

Orcid: 0000-0002-4918-9196

Affiliations:
  • Gdansk University of Technology, Poland


According to our database1, Pawel Czarnul authored at least 86 papers between 1999 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
Dataset Characteristics and Their Impact on Offline Policy Learning of Contextual Multi-Armed Bandits.
Proceedings of the 16th International Conference on Agents and Artificial Intelligence, 2024

2023
Dynamic GPU power capping with online performance tracing for energy efficient GPU computing using DEPO tool.
Future Gener. Comput. Syst., August, 2023

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

Efficient parallel implementation of crowd simulation using a hybrid CPU+GPU high performance computing system.
Simul. Model. Pract. Theory, 2023

Long-time scale simulations of virus-like particles from three human-norovirus strains.
J. Comput. Chem., 2023

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

The Idea of a Student Research Project as a Method of Preparing a Student for Professional and Scientific Work.
Proceedings of the Computational Science - ICCS 2023, 2023

Performance assessment of OpenMP constructs and benchmarks using modern compilers and multi-core CPUs.
Proceedings of the 18th Conference on Computer Science and Intelligence Systems, 2023

Performance and Energy Aware Training of a Deep Neural Network in a Multi-GPU Environment with Power Capping.
Proceedings of the Euro-Par 2023: Parallel Processing Workshops - Euro-Par 2023 International Workshops, Limassol, Cyprus, August 28, 2023

2022
DEPO: A dynamic energy-performance optimizer tool for automatic power capping for energy efficient high-performance computing.
Softw. Pract. Exp., 2022

Optimization of Data Assignment for Parallel Processing in a Hybrid Heterogeneous Environment Using Integer Linear Programming.
Comput. J., 2022

Dataset Related Experimental Investigation of Chess Position Evaluation Using a Deep Neural Network.
Proceedings of the Parallel Processing and Applied Mathematics, 2022

GPU Power Capping for Energy-Performance Trade-Offs in Training of Deep Convolutional Neural Networks for Image Recognition.
Proceedings of the Computational Science - ICCS 2022, 2022

Food Classification from Images Using a Neural Network Based Approach with NVIDIA Volta and Pascal GPUs.
Proceedings of the Computer Information Systems and Industrial Management, 2022

2021
Human awareness versus Autonomous Vehicles view: comparison of reaction times during emergencies.
Proceedings of the IEEE Intelligent Vehicles Symposium, 2021

Decomposition of the unit test generation task for parallel computations.
Proceedings of the IEEE 16th International Conference on Computer Sciences and Information Technologies, 2021

2020
Survey of Methodologies, Approaches, and Challenges in Parallel Programming Using High-Performance Computing Systems.
Sci. Program., 2020

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

Development and benchmarking a parallel Data AcQuisition framework using MPI with hash and hash+tree structures in a cluster environment.
Proceedings of the 19th International Symposium on Parallel and Distributed Computing, 2020

Unit Test Generation in a Cluster Using Parallel Computations and Control Flow Graph Analysis.
Proceedings of the IEEE 15th International Conference on Computer Sciences and Information Technologies, 2020

Benchmarking Deep Neural Network Training Using Multi- and Many-Core Processors.
Proceedings of the Computer Information Systems and Industrial Management, 2020

2019
Performance evaluation of Unified Memory with prefetching and oversubscription for selected parallel CUDA applications on NVIDIA Pascal and Volta GPUs.
J. Supercomput., 2019

Energy-Aware High-Performance Computing: Survey of State-of-the-Art Tools, Techniques, and Environments.
Sci. Program., 2019

Multi-agent large-scale parallel crowd simulation with NVRAM-based distributed cache.
J. Comput. Sci., 2019

Performance/Energy Aware Optimization of Parallel Applications on GPUs Under Power Capping.
Proceedings of the Parallel Processing and Applied Mathematics, 2019

The impact of the AC922 Architecture on Performance of Deep Neural Network Training.
Proceedings of the 17th International Conference on High Performance Computing & Simulation, 2019

Extended investigation of performance-energy trade-offs under power capping in HPC environments.
Proceedings of the 17th International Conference on High Performance Computing & Simulation, 2019

Auto-tuning methodology for configuration and application parameters of hybrid CPU + GPU parallel systems based on expert knowledge.
Proceedings of the 17th International Conference on High Performance Computing & Simulation, 2019

Use of ICT infrastructure for teaching HPC.
Proceedings of the IEEE 14th International Conference on Computer Sciences and Information Technologies, 2019

2018
Parallelization of large vector similarity computations in a hybrid CPU+GPU environment.
J. Supercomput., 2018

A Solution to Image Processing with Parallel MPI I/O and Distributed NVRAM Cache.
Scalable Comput. Pract. Exp., 2018

Modelling and simulation of GPU processing in the MERPSYS environment.
Scalable Comput. Pract. Exp., 2018

Benchmarking Parallel Chess Search in Stockfish on Intel Xeon and Intel Xeon Phi Processors.
Proceedings of the Computational Science - ICCS 2018, 2018

Analyzing energy/performance trade-offs with power capping for parallel applications on modern multi and many core processors.
Proceedings of the 2018 Federated Conference on Computer Science and Information Systems, 2018

Benchmarking overlapping communication and computations with multiple streams for modern GPUs.
Proceedings of the Communication Papers of the 2018 Federated Conference on Computer Science and Information Systems, 2018

Parallel Programming for Modern High Performance Computing Systems
Chapman and Hall/CRC Press/Taylor & Francis, ISBN: 9781138305953, 2018

2017
Performance evaluation of unified memory and dynamic parallelism for selected parallel CUDA applications.
J. Supercomput., 2017

MERPSYS: An environment for simulation of parallel application execution on large scale HPC systems.
Simul. Model. Pract. Theory, 2017

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

Parallelization of Selected Algorithms on Multi-core CPUs, a Cluster and in a Hybrid CPU+Xeon Phi Environment.
Proceedings of the Information Systems Architecture and Technology: Proceedings of 38th International Conference on Information Systems Architecture and Technology - ISAT 2017, 2017

Multi-agent large-scale parallel crowd simulation.
Proceedings of the International Conference on Computational Science, 2017

Distributed NVRAM Cache - Optimization and Evaluation with Power of Adjacency Matrix.
Proceedings of the Computer Information Systems and Industrial Management, 2017

2016
KernelHive: a new workflow-based framework for multilevel high performance computing using clusters and workstations with CPUs and GPUs.
Concurr. Comput. Pract. Exp., 2016

A Fail-Safe NVRAM Based Mechanism for Efficient Creation and Recovery of Data Copies in Parallel MPI Applications.
Proceedings of the Information Systems Architecture and Technology: Proceedings of 37th International Conference on Information Systems Architecture and Technology - ISAT 2016, 2016

Checkpointing of Parallel MPI Applications using MPI One-sided API with Support for Byte-addressable Non-volatile RAM.
Proceedings of the International Conference on Computational Science 2016, 2016

A Parallel MPI I/O Solution Supported by Byte-addressable Non-volatile RAM Distributed Cache.
Proceedings of the Position Papers of the 2016 Federated Conference on Computer Science and Information Systems, 2016

Modeling energy consumption of parallel applications.
Proceedings of the 2016 Federated Conference on Computer Science and Information Systems, 2016

2015
Performance and Power-Aware Modeling of MPI Applications for Cluster Computing.
Proceedings of the Parallel Processing and Applied Mathematics, 2015

Considerations of Computational Efficiency in Volunteer and Cluster Computing.
Proceedings of the Parallel Processing and Applied Mathematics, 2015

Parallelization of Divide-and-Conquer Applications on Intel Xeon Phi with an OpenMP Based Framework.
Proceedings of the Information Systems Architecture and Technology: Proceedings of 36th International Conference on Information Systems Architecture and Technology - ISAT 2015, 2015

Simulation of parallel similarity measure computations for large data sets.
Proceedings of the 2nd IEEE International Conference on Cybernetics, 2015

Integration of Services into Workflow Applications.
Chapman and Hall/CRC, ISBN: 978-1-49-870646-9, 2015

2014
Suitability of BeesyCluster and Mobile Development Platforms in Modern Distributed Workflow Applications for Distributed Data Acquisition and Processing.
Proceedings of the Issues and Challenges in Artificial Intelligence, 2014

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

Optimization of Execution Time under Power Consumption Constraints in a Heterogeneous Parallel System with GPUs and CPUs.
Proceedings of the Distributed Computing and Networking - 15th International Conference, 2014

Teaching High Performance Computing Using BeesyCluster and Relevant Usage Statistics<sup>*</sup>.
Proceedings of the International Conference on Computational Science, 2014

A Workflow Application for Parallel Processing of Big Data from an Internet Portal.
Proceedings of the International Conference on Computational Science, 2014

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

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

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

Parallel Computations in the Volunteer-Based Comcute System.
Proceedings of the Parallel Processing and Applied Mathematics, 2013

Design of a distributed system using mobile devices and workflow management for measurement and control of a smart home and health.
Proceedings of the 6th International Conference on Human System Interactions, 2013

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

2011
Parallelization of Compute Intensive Applications into Workflows based on Services in BeesyCluster.
Scalable Comput. Pract. Exp., 2011

BeesyBees: A mobile agent-based middleware for a reliable and secure execution of service-based workflow applications in BeesyCluster.
Multiagent Grid Syst., 2011

Dynamic Compatibility Matching of Services for Distributed Workflow Execution.
Proceedings of the Parallel Processing and Applied Mathematics, 2011

2010
BeesyBees - Efficient and Reliable Execution of Service-based Workflow Applications for BeesyCluster using Distributed Agents.
Proceedings of the International Multiconference on Computer Science and Information Technology, 2010

Multi-level Parallelization with Parallel Computational Services in BeesyCluster.
Proceedings of the International Multiconference on Computer Science and Information Technology, 2010

Modelling, Optimization and Execution of Workflow Applications with Data Distribution, Service Selection and Budget Constraints in BeesyCluster.
Proceedings of the International Multiconference on Computer Science and Information Technology, 2010

2009
A JEE-Based Modelling and Execution Environment for Workflow Applications with Just-in-Time Service Selection.
Proceedings of the Workshops at the Grid and Pervasive Computing Conference, 2009

2007
BC-MPI: Running an MPI Application on Multiple Clusters with BeesyCluster Connectivity.
Proceedings of the Parallel Processing and Applied Mathematics, 2007

2006
Reaching and Maintaining High Quality of Distributed J2EE Applications - BeesyCluster Case Study.
Proceedings of the Software Engineering Techniques: Design for Quality, 2006

Integration of Compute-Intensive Tasks into Scientific Workflows in BeesyCluster, .
Proceedings of the Computational Science, 2006

2005
New User-Guided and ckpt-Based Checkpointing Libraries for Parallel MPI Applications.
Proceedings of the Recent Advances in Parallel Virtual Machine and Message Passing Interface, 2005

Remote Task Submission and Publishing in BeesyCluster: Security and Efficiency of Web Service Interface.
Proceedings of the Parallel Processing and Applied Mathematics, 2005

2004
Parallel Simulations of Electrophysiological Phenomena in Myocardium on Large 32 and 64-bit Linux Clusters.
Proceedings of the Recent Advances in Parallel Virtual Machine and Message Passing Interface, 2004

Towards Easy-to-Use Checkpointing of MPI Applications within CLUSTERIX.
Proceedings of the 2004 International Conference on Parallel Computing in Electrical Engineering (PARELEC 2004), 2004

Towards Efficient Parallel Image Processing on Cluster Grids Using GIMP.
Proceedings of the Computational Science, 2004

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

PVMWebCluster: Integration of PVM Clusters Using Web Services and CORBA.
Proceedings of the Recent Advances in Parallel Virtual Machine and Message Passing Interface,10th European PVM/MPI Users' Group Meeting, Venice, Italy, September 29, 2003

Architecture and Implementation of Distributed Data Storage Using Web Services, CORBA and PVM.
Proceedings of the Parallel Processing and Applied Mathematics, 2003

2002
Development and Tuning of Irregular Divide-and-Conquer Applications in DAMPVM/DAC.
Proceedings of the Recent Advances in Parallel Virtual Machine and Message Passing Interface, 9th European PVM/MPI Users' Group Meeting, Linz, Austria, September 29, 2002

Dynamic Process Partitioning and Migration for Irregular Applications.
Proceedings of the 2002 International Conference on Parallel Computing in Electrical Engineering (PARELEC 2002), 2002

2001
Dynamic Partitioning of the Divide-and-Conquer Scheme with Migration in PVM Environment.
Proceedings of the Recent Advances in Parallel Virtual Machine and Message Passing Interface, 2001

2000
Parallel Program Execution with Process Migration.
Proceedings of the 2000 International Conference on Parallel Computing in Electrical Engineering (PARELEC 2000), 2000

1999
Dynamic Assignment with Process Migration in Distributed Environments.
Proceedings of the Recent Advances in Parallel Virtual Machine and Message Passing Interface, 1999


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