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An Optimized Software Radio Application Using a Dynamic Slack Reclamation Technique on a Real Platform OMAP 3530

机译:使用Real Platform OMAP 3530上使用动态松弛填海工艺的优化软件无线电应用

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The development of multiprocessor Systems on chips (MPSOC) led to increasing difficulties in system design. The optimization of energy consumption has become a primary concern. The solution is to use various techniques for optimizing energy and power. The purpose of this paper is to integrate a Dynamic Slack Reclamation technique in the application software radio which is an algorithm based on the strategy of slowing down the frequency/voltage couple on the processor. The advantage of this algorithm is that it ensures the detection of task completion and determines the quantity of delay time by comparing the worst execution time with the real time. Experimental results show that the use of a DSR algorithm increases the performance by respecting real-time constraints in terms of power consumption and energy on a real platform, OMAP 3530. In addition, the power and energy consumption is reduced up to 27% and 8% respectively for scenario 1 and scenario 2. The result also show that scenario 1 consumes 80% more energy than scenario 2.
机译:多处理器系统芯片上导致了系统设计的困难越来越多的开发(MPSOC)。能源消耗的优化已经成为首要关注的问题。解决的办法是使用各种技术来优化能源和电力。本文的目的是整合动态懈怠开垦技术在应用软件无线电其为基于减慢频率/电压耦合在所述处理器上的策略的算法。该算法的优点在于,它保证了任务完成的检测,并通过与实时比较最差执行时间确定的延迟时间的量。实验结果表明,使用DSR算法增加了功耗和能源方面尊重实时限制在一个真正的平台,OMAP 3530除了性能,功率和能量消耗减少达27 %和分别为8 %为场景1和情景2。结果还表明,方案1只消耗80 %比场景2更多的能量。

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