在嵌入式系统中使用SPM和优化代码布局来降低能耗

S. Lavanya, B. Anuradha
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引用次数: 0

摘要

在多处理嵌入式系统中,有效地利用了片内和片外存储器的代码重定位。为了提高嵌入式系统的性能,采用SPM和缓存进行代码处理。开发代码布局是为了将代码放置在内存中,以防止缓存冲突和丢失。尽管许多研究人员已经说明了使用SPM和缓存来提高效率,但并没有将这两者结合起来。本研究采用三种模型(1)ILP模型(2)启发式模型(3)两阶段元启发式模型)对编码处理过程中的能耗进行比较。在上述两个阶段中,元启发式模型是提出的模型,其中开发了SPM和缓存代码布局来放置代码。结果表明,与其他两种模型相比,两阶段元启发式模型的效率更高,能耗更低。通过在该模型中同时应用代码重定位和SPM代码选择技术,可以节省大约55%的额外能量。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Reduction of energy consumption using SPM and optimal code layout in embedded systems
In the multiprocessing embedded system the efficient use of the on-chip and off-chip memory code repositioning is done. For the purpose of improvement in the embedded system the SPM and cache is used for the code processing. The code layout is developed to place the code in memory for the preventing the cache conflicts and misses. Even though many researchers have illustrated the use of SPM and cache to improve the efficiency, combining these two was not done. In this study the comparison of energy consumption is done while code processing is done by three models namely 1) ILP model 2) Heuristic model 3) two stage meta-heuristic model. In the above two stage Meta heuristic model is the proposed model in which along with the SPM and Cache code layout is developed to place the code in it. The result reveals that compared to other two models the two stage meta-heuristic model yield more efficiency and consume less energy than other two models. As much as approximately 55% of additional energy can be saved by applying both code repositioning and SPM code selection techniques in this model.
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