Algorithm 755: ADOL-C: a package for the automatic differentiation of algorithms written in C/C++
ACM Transactions on Mathematical Software (TOMS)
Recipes for adjoint code construction
ACM Transactions on Mathematical Software (TOMS)
Evaluating derivatives: principles and techniques of algorithmic differentiation
Evaluating derivatives: principles and techniques of algorithmic differentiation
Adifor 2.0: Automatic Differentiation of Fortran 77 Programs
IEEE Computational Science & Engineering
CFL3D: Its History and Some Recent Applications
CFL3D: Its History and Some Recent Applications
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Many reverse mode codes created by Automatic Differentiation (AD) tools use too much storage. To help mitigate the storage requirement, AD users resort to a technique called recomputation. Acceptable performance, however, requires judicious use of the recomputation technique. This work describes our approach to constructing good recomputation for Adifor 3.0-generated reverse mode codes by using a standard execution time profiler.