![Zdjęcie profilowe: dr hab. inż. Jerzy Proficz](/assets/jerzy-proficz,15767-1/photo.png)
dr hab. inż. Jerzy Proficz
Zatrudnienie
- Dyrektor Centrum Informatycznego TASK w Centrum Informat. Trójmiejskiej Akadem.Sieci Komputerowej
- Profesor uczelni w Katedra Architektury Systemów Komputerowych
Obszary badawcze
Kontakt dla biznesu
- Lokalizacja
- Al. Zwycięstwa 27, 80-219 Gdańsk
- Telefon
- +48 58 348 62 62
- biznes@pg.edu.pl
Media społecznościowe
Kontakt
- jerprofi@pg.edu.pl
Dyrektor Centrum Informatycznego TASK
- Miejsce pracy
- Gmach Elektroniki Telekomunikacji i Informatyki pokój 344 NE
- Telefon
- (58) 348 63 43
Profesor uczelni
- Miejsce pracy
- Gmach Elektroniki Telekomunikacji i Informatyki pokój 344 NE
- Telefon
- (58) 348 63 43
Wybrane publikacje
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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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DEPO: A dynamic energy‐performance optimizer tool for automatic power capping for energy efficient high‐performance computing
In the article we propose an automatic power capping software tool DEPO that allows one to perform runtime optimization of performance and energy related metrics. For an assumed application model with an initialization phase followed by a running phase with uniform compute and memory intensity, the tool performs automatic tuning engaging one of the two exploration algorithms—linear search (LS) and golden section search (GSS), finds...
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Dynamic GPU power capping with online performance tracing for energy efficient GPU computing using DEPO tool
GPU accelerators have become essential to the recent advance in computational power of high- performance computing (HPC) systems. Current HPC systems’ reaching an approximately 20–30 mega-watt power demand has resulted in increasing CO2 emissions, energy costs and necessitate increasingly complex cooling systems. This is a very real challenge. To address this, new mechanisms of software power control could be employed. In this...
wyświetlono 5176 razy