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A New Method for Optimizing the Computing Process of IAPWS-IF97

机译:优化IAPWS-IF97计算过程的新方法

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To improve the computing speed and accuracy of the latest IAPWS-IF97 (2007.8 Revision), by code optimization method, optimized the computing process of JAPWS-IF97. The key methods of optimizing the computing process of IAPWS-IF97 are merge constant values, refine algebra equations, delete common sub expressions, extract constant code out of cycle and weaken operation intensity. We need only use these methods to optimize the implementation of the basic equations, derivative equations and backward equations for regions 1, 2.3, the optimization rules are givea The most important optimization key method is using weaken operation intensity for theirs power operations. This paper mainly analyzed and tested the comparisons of computing time, accuracy and consistency before and after optimization in detail. After optimization, the results show that the operation count is more than 2.42 times decreased than before optimization on average, and the computing speed is more than 5.63 times faster than before optimization on average. The advantages are computing time faster, more accuracy and improved the consistency of the boundary of B23, Ts(p) and B2bc,ps (T).
机译:为了提高最新IAPWS-IF97(2007.8修订版)的计算速度和准确性,通过代码优化方法优化了JAPWS-IF97的计算过程。优化IAPWS-IF97计算过程的关键方法是合并常数值,细化代数方程式,删除通用子表达式,循环提取常数代码并削弱运算强度。我们只需要使用这些方法来优化区域1、2.3的基本方程,导数方程和向后方程的实现,则给出优化规则。最重要的优化关键方法是使用弱化运算强度进行功率运算。本文主要详细分析和测试了优化前后计算时间,准确性和一致性的比较。优化后的结果表明,操作数平均比优化前减少了2.42倍以上,计算速度平均比优化前提高了5.63倍以上。优点是计算时间更快,准确性更高,并且改善了B23,Ts(p)和B2bc,ps(T)边界的一致性。

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