Adjoints of large simulation codes through Automatic Differentiation

被引：3
作者：
Hascoet, Laurent [1 ]
Dauvergne, Benjamin [1 ]
机构：
[1] INRIA Sophia Antipolis, Equipe TROPICS 2004 Route Lucioles,BP 93, YF-06901 Sophia Antipolis, France
来源：
EUROPEAN JOURNAL OF COMPUTATIONAL MECHANICS | 2008年 / 17卷 / 1-2期
关键词：
Automatic Differentiation; reverse mode; checkpointing; adjoint methods; gradient;
D O I：
10.3166/REMN.17.63-86
中图分类号：
O3 [力学];
学科分类号：
08 ; 0801 ;
摘要：
Adjoint methods are the choice approach to obtain gradients of large simulation codes. Automatic Differentiation has already produced adjoint codes for several simulation codes, and research continues to apply it to even larger applications. We compare the approaches chosen by existing Automatic Differentiation tools to build adjoint algorithms. These approaches share similar problems related to data-flow and memory traffic. We present some current state-of-the-art answers to these problems, and show the results on some applications.
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页码：63 / 86
页数：24
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