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With the chip multi-processor (CMP) being more and more widespread used in the laptop, desktop and data center area, the power-performance scheduling issues are becoming challenges to the researchers. In this paper, we propose a multi-objective fuzzy genetic algorithm to optimize the energy saving scheduling tasks on heterogeneous CMP system. According to the characteristic of heterogeneous CMP system,...
There are two important factors in the power-performance issues of chip multi-processor(CMP) system: the execution time of tasks and the system energy consumption. Most of exist energy saving methods are not designed to reduce the system energy while cut the execution time down. This paper represents a multi-objective hybrid genetic algorithm (MHGA) which can make the execution time of tasks minimize...
This paper presents a two-stage energy-aware schedule strategy to solve the problem of effective scheduling task set with interdependence on chip multiprocessor (CMP) system while saving energy. We propose a tri-dimensional coding based hybrid genetic algorithm (TCH) to allocate the task set on processor cores to minimize the execution time. Compared with traditional genetic algorithm, TCH uses the...
This paper focuses the power-performance issues of running task set with interdependence on chip multiprocessor (CMP) systems. First, we propose a tri-dimensional coding based self-adaptive parallel (TCSP) genetic algorithm allocating the task set on processor cores to minimize the execution time. Next, we present a dynamic voltage scaling (DVS) procedure that alters the operating voltage by exploiting...
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