
dr hab. inż. Paweł Czarnul
Employment
- Vice-Dean for Cooperation and Development at Faculty of Electronics, Telecommunications and Informatics
- Professor at Department of Computer Architecture
- Head of Department at Department of Computer Architecture
Social media
Contact
- pawel.czarnul@pg.edu.pl
Professor
- Workplace
-
Budynek A Elektroniki
pokój EA 526 open in new tab - Phone
- (58) 347 12 88
- pczarnul@eti.pg.edu.pl
Vice-Dean for Cooperation and Development
- Workplace
- Budynek B WETI pokój 151
- Phone
- (58) 348 62 84
Head of Department
- Workplace
-
Budynek A Elektroniki
pokój EA 526 open in new tab - Phone
- (58) 347 12 88
Publication showcase
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MERPSYS: An environment for simulation of parallel application execution on large scale HPC systems
In this paper we present a new environment called MERPSYS that allows simulation of parallel application execution time on cluster-based systems. The environment offers a modeling application using the Java language extended with methods representing message passing type communication routines. It also offers a graphical interface for building a system model that incorporates various hardware components such as CPUs, GPUs, interconnects...
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Multi-agent large-scale parallel crowd simulation
This paper presents design, implementation and performance results of a new modular, parallel, agent-based and large scale crowd simulation environment. A parallel application, implemented with C and MPI, was implemented and run in this parallel environment for simulation and visualization of an evacuation scenario at Gdansk University of Technology, Poland and further in the area of districts of Gdansk. The application uses a...
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Benchmarking Performance of a Hybrid Intel Xeon/Xeon Phi System for Parallel Computation of Similarity Measures Between Large Vectors
The paper deals with parallelization of computing similarity measures between large vectors. Such computations are important components within many applications and consequently are of high importance. Rather than focusing on optimization of the algorithm itself, assuming specific measures, the paper assumes a general scheme for finding similarity measures for all pairs of vectors and investigates optimizations for scalability...
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