Large computational graphs fail at link time about cppadcodegen HOT 4 CLOSED

@joaoleal Are you still supporting CppADCodeGen ?

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Hello,

Before starting to change/extend CppADCodeGen (which would still lead to extremely long compilation times) I would suggest looking for opportunities to reduce the size of the generated code for your model. This would solve your current problem and lead to significantly lower compilation times.
If you have some part of your model with repeating equations (the larger the better) you can compile that section of the code and reuse it inside your model as an atomic model. For instance, see dynamic_atomic_nonlinear_outer.cpp/CppADCGDynamicAtomicTest.hpp.

It is also possible to change the "C" compiler and/or its flags. From the link you provided, it appears that using position-independent code would solve your problem. For this, you can create a dynamic library instead of a static library or create a static library but provide the option posIndepCode = true.

I hope this helps.

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@bradbell support is typically limited to weekends ;)

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I modified the generator to emit c++ code and this issue is resolved. There are cases when the graphs need to be big for high dimensional problems.

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