Reference : Memory-aware Green Scheduling on Multi-core Processors |
Scientific congresses, symposiums and conference proceedings : Paper published in a journal | |||
Engineering, computing & technology : Computer science | |||
http://hdl.handle.net/10993/15409 | |||
Memory-aware Green Scheduling on Multi-core Processors | |
English | |
Pinel, Frédéric ![]() | |
Pecero, Johnatan ![]() | |
Bouvry, Pascal ![]() | |
Khan, Samee [> >] | |
16-Sep-2010 | |
Proceedings of the Second International Workshop on Green Computing | |
485 - 488 | |
Yes | |
International | |
1530-2016 | |
ICPP 2010 Second International Workshop on Green Computing | |
from 13-09-2010 to 16-09-2010 | |
San Diego | |
CA | |
[en] multi-core processors ; memory-aware ; green computing ; scheduling ; operating systems ; memory contention | |
[en] Contention on shared resources such as cache and
main memory slows down the execution of the applications affecting not only application performance but also induces inefficient use of energy. Therefore, in this paper we deal with the contention problem and energy optimization on shared resources multicore-based machines. Our main contribution is a memory-aware resource allocation algorithm that minimize energy consumption by reducing contention conflicts and maximizing performance. We design a heuristic that includes in its objective function the impact of the contention on the application performance. Experimental results emphasize the interest of the provided solution. | |
Researchers | |
http://hdl.handle.net/10993/15409 | |
10.1109/ICPPW.2010.71 |
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