BibTeX
@INCOLLECTION{
         Shin2008DaI,
       title = "Design and Implementation of a Context-Sensitive, Flow-Sensitive Activity Analysis
         Algorithm for Automatic Differentiation",
       doi = "10.1007/978-3-540-68942-3_11",
       author = "Jaewook Shin and Priyadarshini Malusare and Paul D. Hovland",
       abstract = "Automatic differentiation (AD) has been expanding its role in scientific computing.
         While several AD tools have been actively developed and used, a wide range of problems remain to be
         solved. Activity analysis allows AD tools to generate derivative code for fewer variables, leading
         to a faster run time of the output code. This paper describes a new contextsensitive, flow-sensitive
         (CSFS) activity analysis, which is developed by extending an existing context-sensitive,
         flow-insensitive (CSFI) activity analysis. Our experiments with eight benchmarks show that the new
         CSFS activity analysis is more than 27 times slower but reduces 8 overestimations for the MIT
         General Circulation Model (MITgcm) and 1 for an ODE solver (c2) compared with the existing CSFI
         activity analysis implementation. Although the number of reduced overestimations looks small, the
         additionally identified passive variables may significantly reduce tedious human effort in
         maintaining a large code base such as MITgcm.",
       crossref = "Bischof2008AiA",
       pages = "115--125",
       booktitle = "Advances in Automatic Differentiation",
       publisher = "Springer",
       editor = "Christian H. Bischof and H. Martin B{\"u}cker and Paul D. Hovland and Uwe
         Naumann and J. Utke",
       isbn = "978-3-540-68935-5",
       issn = "1439-7358",
       year = "2008",
       ad_theotech = "Data Flow Analysis"
}