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Optimization of multipartite table methods to approximate the elementary functions

机译:优化多部分表方法以逼近基本函数

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This paper presents the optimized methodology of the table-lookup-and-addition methods to approximate the elementary functions. Compared to the previously published methods including SBTM, STAM and their improved method in the paper, our method uses three small look-up tables to replace the biggest look-up tables in the previous methods and shortens the number of address bits to some look-up tables in the previous methods to reduce the memory requirements significantly. For example, when both our method and the method in the de Dinechin and Tisserand (2001) require the least number of bits, the compression ratio can reach to 1.57 using 16 bits operand for function 1/x. The data in this paper have been validated by using a set of C programs; and the designs have been synthesized with EDA tools.
机译:本文提出了一种优化表查找和添加方法的方法,以近似基本功能。与本文中包括SBTM,STAM及其改进方法的先前发布的方法相比,我们的方法使用三个小的查找表来替换先前方法中最大的查找表,并将地址位的数量缩短为以前方法中的表格最多可显着减少内存需求。例如,当我们的方法以及de Dinechin和Tisserand(2001)中的方法都需要最少的位数时,使用函数1 / x的16位操作数,压缩率可以达到1.57。本文中的数据已通过使用一组C程序进行了验证;并且设计已经使用EDA工具进行了综合。

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