P. Czarnul

发表

Multiresolution time domain modeling for large scale wireless communication problems

Shih-Hao Hung, L.P.B. Katehi, K. Tomko, 2001, IEEE Antennas and Propagation Society International Symposium. 2001 Digest. Held in conjunction with: USNC/URSI National Radio Science Meeting (Cat. No.01CH37229).

Portable Parallel Simulator using MPI for 2 D and 3 D Domains : Design and Performance Testing

P. Czarnul, K. Grzeda, 2007 .

Time Domain Modeling for Large Scale Cosite Interference Problems Utilizing Parallel Computing and Wavelets

E. Davidson, K. Tomko, L. Katehi, 2022 .

Identification of Selected Resource-aware Problems Across Scientific Disciplines and Applications

Mariusz R. Matuszek, P. Czarnul, 2022 .

Assessment of OpenMP Master–Slave Implementations for Selected Irregular Parallel Applications

P. Czarnul, 2021, Electronics.

Unit Test Generation in a Cluster Using Parallel Computations and Control Flow Graph Analysis

P. Czarnul, R. Bazylevych, Andrii Franko, 2020, 2020 IEEE 15th International Conference on Computer Sciences and Information Technologies (CSIT).

Optimization of parallel implementation of UNRES package for coarse‐grained simulations to treat large proteins

Adam K. Sieradzan, A. Liwo, C. Czaplewski, 2022, J. Comput. Chem..

MERPSYS: An environment for simulation of parallel application execution on large scale HPC systems

Julian Szymanski, Jaroslaw Kuchta, Jerzy Proficz, 2017, Simul. Model. Pract. Theory.

Simulation of parallel similarity measure computations for large data sets

Julian Szymanski, Pawel Czarnul, Mariusz R. Matuszek, 2015, 2015 IEEE 2nd International Conference on Cybernetics (CYBCONF).

Performance Assessment of Using Docker for Selected MPI Applications in a Parallel Environment Based on Commodity Hardware

P. Czarnul, Tomasz Kononowicz, 2022, Applied Sciences.

Long‐time scale simulations of virus‐like particles from three human‐norovirus strains

Adam K. Sieradzan, A. Liwo, C. Czaplewski, 2023, J. Comput. Chem..

Energy-Aware Scheduling for High-Performance Computing Systems: A Survey

P. Czarnul, J. Proficz, Bartłomiej Kocot, 2023, Energies.

Dynamic process partitioning and migration for irregular applications

Pawel Czarnul, P. Czarnul, 2002, Proceedings. International Conference on Parallel Computing in Electrical Engineering.

Dynamic Partitioning of the Divide-and-Conquer Scheme with Migration in PVM Environment

Henryk Krawczyk, Pawel Czarnul, Karen A. Tomko, 2001, PVM/MPI.

Towards Efficient Parallel Image Processing on Cluster Grids Using GIMP

Pawel Czarnul, Andrzej Ciereszko, Marcin Fraczak, 2004, International Conference on Computational Science.

PVMWebCluster: Integration of PVM Clusters Using Web Services and CORBA

Pawel Czarnul, P. Czarnul, 2003, PVM/MPI.

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

Jerzy Proficz, Pawel Czarnul, Adam Krzywaniak, 2019, Sci. Program..

Development and Tuning of Irregular Divide-and-Conquer Applications in DAMPVM/DAC

Pawel Czarnul, P. Czarnul, 2002, PVM/MPI.

Dynamic GPU power capping with online performance tracing for energy efficient GPU computing using DEPO tool

P. Czarnul, J. Proficz, Adam Krzywaniak, 2023, Future Gener. Comput. Syst..

Parallelization of large vector similarity computations in a hybrid CPU+GPU environment

Pawel Czarnul, P. Czarnul, 2018, The Journal of Supercomputing.

UNRES-GPU for physics-based coarse-grained simulations of protein systems at biological time- and size-scales

Adam K. Sieradzan, A. Liwo, C. Czaplewski, 2023, Bioinformatics.

Investigation of Parallel Data Processing Using Hybrid High Performance CPU + GPU Systems and CUDA Streams

Paweł Czarnul, P. Czarnul, 2020, Comput. Informatics.

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

Jerzy Proficz, Pawel Czarnul, Krzysztof Drypczewski, 2020, Sci. Program..

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, 2016, Concurr. Comput. Pract. Exp..

Optimization of Execution Time under Power Consumption Constraints in a Heterogeneous Parallel System with GPUs and CPUs

Pawel Czarnul, Pawel Rosciszewski, P. Rosciszewski, 2014, ICDCN.

Parallel Computations in the Volunteer-Based Comcute System

Jaroslaw Kuchta, Pawel Czarnul, Mariusz R. Matuszek, 2013, PPAM.

Multi-level parallelization with parallel computational services in BeesyCluster

Pawel Czarnul, P. Czarnul, 2010, Proceedings of the International Multiconference on Computer Science and Information Technology.

BC-MPI: Running an MPI Application on Multiple Clusters with BeesyCluster Connectivity

Pawel Czarnul, P. Czarnul, 2007, PPAM.

A Concept of Modeling and Optimization of Applications in Large Scale Systems

Pawel Czarnul, P. Czarnul, 2016 .

Performance and Power-Aware Modeling of MPI Applications for Cluster Computing

Jerzy Proficz, Pawel Czarnul, P. Czarnul, 2015, PPAM.

DEPO: A dynamic energy‐performance optimizer tool for automatic power capping for energy efficient high‐performance computing

P. Czarnul, J. Proficz, Adam Krzywaniak, 2022, Softw. Pract. Exp..

Extended investigation of performance-energy trade-offs under power capping in HPC environments

Jerzy Proficz, Adam Krzywaniak, Pawel Czarnul, 2019, 2019 International Conference on High Performance Computing & Simulation (HPCS).

Modelling, optimization and execution of workflow applications with data distribution, service selection and budget constraints in BeesyCluster

Pawel Czarnul, P. Czarnul, 2010, Proceedings of the International Multiconference on Computer Science and Information Technology.

Programming, Tuning and Automatic Parallelization of Irregular Divide-and-Conquer Applications in DAMPVM/DAC

Pawel Czarnul, P. Czarnul, 2003, Int. J. High Perform. Comput. Appl..

GPU Power Capping for Energy-Performance Trade-Offs in Training of Deep Convolutional Neural Networks for Image Recognition

P. Czarnul, J. Proficz, Adam Krzywaniak, 2022, ICCS.

Parallel Programming for Modern High Performance Computing Systems

Pawel Czarnul, P. Czarnul, 2018 .

Multi-agent large-scale parallel crowd simulation with NVRAM-based distributed cache

Artur Malinowski, Pawel Czarnul, P. Czarnul, 2019, J. Comput. Sci..

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

P. Czarnul, 2010, The Journal of Supercomputing.

Integration of cloud-based services into distributed workflow systems: challenges and solutions

Pawel Czarnul, P. Czarnul, 2012, Scalable Comput. Pract. Exp..

Comparison of selected algorithms for scheduling workflow applications with dynamically changing service availability

Pawel Czarnul, P. Czarnul, 2014, Journal of Zhejiang University SCIENCE C.

Multi-GPU UNRES for scalable coarse-grained simulations of very large protein systems

C. Czaplewski, A. Lipska, P. Czarnul, 2024, Computer Physics Communications.