Evolutionary Approximation of Software for Embedded Systems: Median Function
Evolutionary Approximation of Software for Embedded Systems: Median Function
复制标题
嵌入式系统软件的进化逼近：中值函数
DOI：
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发表时间：
2015
期刊：
影响因子：
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通讯作者：
L. Sekanina
中科院分区：
文献类型：
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作者：
Vojtěch Mrázek;Z. Vašíček;L. Sekanina
本文讨论基于遗传编程的低成本微控制器程序非功能特性的改进。由于目标是显着降低功耗和执行时间，因此考虑了近似计算场景，其中结果中的偶尔错误是可以接受的。该方法基于笛卡尔遗传规划，并在9输入和25输入中值函数的逼近任务中进行评估。得到的近似值显示，相对于准确的中值函数，执行时间和功耗有了显着改善，同时观察到的误差适中。
This paper deals with genetic programming-based improvement of non-functional properties of programs intended for low-cost microcontrollers. As the objective is to significantly reduce power consumption and execution time, the approximate computing scenario is considered in which occasional errors in results are acceptable. The method is based on Cartesian genetic programming and evaluated in the task of approximation of 9-input and 25-input median function. Resulting approximations show a significant improvement in the execution time and power consumption with respect to the accurate median function while the observed errors are moderate.