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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...
Tasks running on embedded systems are often associated with deadlines. While it is important to complete tasks before their associated deadlines, performance and energy consumption also play important roles in many usages of embedded systems. To address these issues, we explore the use of Dynamic Voltage and Frequency Scaling (DVFS), a standard feature available on many modern processors for embedded...
In this paper, we propose a power-aware parallel job scheduler assuming DVFS enabled clusters. A CPU frequency assignment algorithm is integrated into the well established EASY backfilling job scheduling policy. Running a job at lower frequency results in a reduction in power dissipation and accordingly in energy consumption. However, lower frequencies introduce a penalty in performance. Our frequency...
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