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Comparing WCET and Resource Demands of Trigonometric Functions Implemented as Iterative Calculations vs. Table-Lookup

机译:比较WCET和作为迭代计算与表查找实现的三角函数的资源需求

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摘要

Trigonometric functions are often needed in embedded real-time software. To fulfill concrete resource demands, different implementation strategies of trigonometric functions are possible.In this paper we analyze the resource demands of iterative calculations compared to other implementation strategies, using the trigonometric functions as a case study. By analyzing the worst-case execution time (WCET) of the different calculation techniques of trigonometric functions we got the surprising result that the WCET of iterative calculations is quite competitive to alternative calculation techniques, while their economics on memory demand is far superior. Finally, a discussion of the general applicability of the obtained results is given as a design guide for embedded software.
机译:嵌入式实时软件中经常需要三角函数。为了满足具体的资源需求,可以使用三角函数的不同实现策略。本文以三角函数为例,分析了迭代计算与其他实现策略相比的资源需求。通过分析三角函数的不同计算技术的最坏情况执行时间(WCET),我们得出了令人惊讶的结果,即迭代计算的WCET与替代计算技术相比具有相当的竞争力,而其在内存需求方面的经济性则要优越得多。最后,讨论了所得结果的一般适用性,作为嵌入式软件的设计指南。

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