Abstract :
[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.
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