
dr hab. inż. Paweł Czarnul
Employment
- Chief Specialist at Dział Usług Chmurowych
- Vice-Dean for Cooperation and Development at Faculty of Electronics, Telecommunications and Informatics
- Head of Department at Department of Computer Architecture
Business contact
- Location
- Al. Zwycięstwa 27, 80-219 Gdańsk
- Phone
- +48 58 348 62 62
- biznes@pg.edu.pl
Social media
Contact
- pawel.czarnul@pg.edu.pl
Chief Specialist
- Workplace
- Gmach Elektroniki Telekomunikacji i Informatyki pokój 526
- Phone
- (58) 347 12 88
Associate professor
- Workplace
-
Budynek A Elektroniki
room 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
- Gmach Elektroniki Telekomunikacji i Informatyki pokój 526
- Phone
- (58) 347 12 88
Publication showcase
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Performance evaluation of Unified Memory with prefetching and oversubscription for selected parallel CUDA applications on NVIDIA Pascal and Volta GPUs
The paper presents assessment of Unified Memory performance with data prefetching and memory oversubscription. Several versions of code are used with: standard memory management, standard Unified Memory and optimized Unified Memory with programmer-assisted data prefetching. Evaluation of execution times is provided for four applications: Sobel and image rotation filters, stream image processing and computational fluid dynamic simulation,...
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Energy-Aware High-Performance Computing: Survey of State-of-the-Art Tools, Techniques, and Environments
The paper presents state of the art of energy-aware high-performance computing (HPC), in particular identification and classification of approaches by system and device types, optimization metrics, and energy/power control methods. System types include single device, clusters, grids, and clouds while considered device types include CPUs, GPUs, multiprocessor, and hybrid systems. Optimization goals include various combinations of...
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Energy-Aware Scheduling for High-Performance Computing Systems: A Survey
High-performance computing (HPC), according to its name, is traditionally oriented toward performance, especially the execution time and scalability of the computations. However, due to the high cost and environmental issues, energy consumption has already become a very important factor that needs to be considered. The paper presents a survey of energy-aware scheduling methods used in a modern HPC environment, starting with the...
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