RxCpp VS CGal

And, prior to that https://github.com/ReactiveX/RxCpp

Yeah, I know this problem with operators =), original RxCpp implementation also has this problem with implementing all functions into base class and calling dependent functions internally.

Also you can check rxcpp with documentation about reactive approach there. It is functional version of observer/publisher-subscriber patterns with ability to be multithreaded. You can send events from one side, subscribe from another and modify events in meanwhile

I use a very large header-only library RxCpp. Simply adding #include "RxCpp/rx.hpp" to one .cpp file adds >1 second of compilation time. I'd like to use it as a module, but when I try to import "RxCpp/rx.hpp";, I get a bunch of errors.

+1 for Rx, specifically RxCpp. I've used it in concert with Qt with great results.

But I doubt any of this will ever run on the GPU... Multi-threading on the other hand, is already implemented and it works on the Gamma side, but I had to switch it off by default because CGAL doesn't seem to be there yet (see here for more). It does mostly work though, at least for the polyhedral operation which is what matters, although it may not be the great speed-up you expect it to be.

git clone https://github.com/CGAL/cgal.git