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首页> 外文期刊>Journal of supercomputing >A temperature-aware and energy-efficient fuzzy technique to schedule tasks in heterogeneous MPSoC systems
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A temperature-aware and energy-efficient fuzzy technique to schedule tasks in heterogeneous MPSoC systems

机译：一种温度感知和节能的模糊技术，用于调度异构MPSoC系统中的任务

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摘要

Energy consumption and elevating the chip temperature become a serious challenge in designing embedded systems mainly due to transistor scaling and integration of more components into a single chip. The temperature of the chip has significant effects on leakage current, energy consumption and reliability of the chip; hence, discovering a mechanism that reduces both energy consumption and temperature of the chip is of utmost significance. An effective task scheduling in a real-time multiprocessor system-on-chip system has a direct impact on energy consumption and temperature of the chip. Several task scheduling and task assignment techniques have been proposed to achieve this goal. Most of those works consider only utilization of processors to distribute tasks among processors in order to reduce energy consumption. Meanwhile, those works try to reduce temperature in the step of task scheduling, separately in each processor. This paper proposes a fuzzy-based technique to distribute real-time tasks among processors in order to reduce both temperature and energy consumption simultaneously. Simulation results show that our proposed technique is more efficient in terms of reducing the energy consumption compared to a well-known state-of-the-art method (up to 9%) while offering a more balanced and moderate temperatures for processors and hindering hot spot.
机译：在设计嵌入式系统时，能耗和升高芯片温度成为一个严峻的挑战，这主要是由于晶体管缩放以及将更多组件集成到单个芯片中。芯片温度对芯片的漏电流，能耗和可靠性有重要影响；因此，找到一种既降低能耗又降低芯片温度的机制至关重要。实时多处理器片上系统中的有效任务调度直接影响芯片的能耗和温度。已经提出了几种任务调度和任务分配技术来实现该目标。这些工作大多数都只考虑利用处理器在处理器之间分配任务，以减少能耗。同时，这些工作试图在任务调度步骤中分别在每个处理器中降低温度。本文提出了一种基于模糊的技术来在处理器之间分配实时任务，以同时降低温度和能耗。仿真结果表明，与众所周知的最新方法（高达9％）相比，我们提出的技术在降低能耗方面更为有效，同时为处理器提供了更加平衡和适中的温度，并防止了发热量点。

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