Applying TAF to generate efficient derivative code of Fortran 77‐95 programs
Applying TAF to generate efficient derivative code of Fortran 77‐95 programs
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应用 TAF 生成 Fortran 77‐95 程序的高效派生代码
DOI：
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发表时间：
2003
期刊：
影响因子：
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通讯作者：
T. Kaminski
中科院分区：
文献类型：
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作者：
R. Giering;T. Kaminski
本文介绍了FastOpt的自动微分（AD）工具Fortran算法转换（TAF），这是一个用Fortran 77 - 95编写的程序的源代码到源代码翻译器。TAF及其前身TAMC拥有成功的大规模应用的长期记录。在这里，我们给出了一个概述如何TAF方法AD的典型挑战，如处理写得不好的程序代码，大内存/磁盘的要求，迭代求解器或黑盒例程。我们还指出，用户需要准备他的程序代码之前，调用TAF。
This paper features FastOpt's automatic differentiation (AD) tool Transformation of Algorithms in Fortran (TAF), a source to source translator for programs written in Fortran 77‐95. TAF and its predecessor TAMC have a long record of successful large‐scale applications. Here we give an overview on how TAF approaches typical challenges of AD such as handling of badly written program code, of large memory/disk requirements, of iterative solvers or of black box routines. We also point out, where the user is required to prepare his program code prior to invoking TAF.