Fields2Cover VS HPX

Hi :) I'm doing my PhD about coverage path planning in agriculture, and help is always more than welcomed. https://github.com/Fields2Cover/Fields2Cover There are many things to do like writing tests or improving the docs, but for me the most funny part is getting a paper about the topic and implementing it into the library.

I have been working on an OS library (https://github.com/Fields2Cover/Fields2Cover) for two years. The aim of this lib is to create coverage paths for agricultural purposes.

Installing Fields2Cover (https://github.com/Fields2Cover/Fields2Cover) on your Linux system is a fantastic way to improve the efficiency and productivity of your agricultural operations!

PS: I would love some help (https://github.com/Fields2Cover/Fields2Cover), but I understand it's a bit niche. Moreover it's starting, so not to much to learn before start contributing.

I am actually making an open source coverage path planner for tractors: https://github.com/Fields2Cover/Fields2Cover

I've released the Fields2Cover library: https://github.com/Fields2Cover/Fields2Cover

https://github.com/STEllAR-GROUP/hpx Modern C++ concepts incorporated in a threading library. Lots of useful techniques used in there and we are trying to keep our code base very tidy. Feel free to chime in our libera channel #ste||ar if you have any questions.

https://github.com/STEllAR-GROUP/hpx Welcoming community + we have been part of GSoC for 4-5 years now so feel free to apply there when it opens ;)

You definitely do not want to learn Boost, trust me. The cudatoolkit is fine, HPX is great, so are Dask, and Ray. I do not recommend MPI unless those computers you have use InfiniBand.

I found this interesting library that might fit your goal.

I personally like the ideas in Parallelism v2 TS, which is available in for libstdc++ 11 onwards. The reference implementation is a library named Vc (afaik Vc is the most popular SIMD library for C++), and this has also been implemented in recent versions of HPX.

I am aware of DAGs of task based threading library like Taskflow and HPX however the benefit they have is not obvious to me, as the following sequential section depends on the parallel part being completed fully. If you want to suggest elaboration on the benefits of this approach would be welcome.

Github: https://github.com/STEllAR-GROUP/hpx

We're working on something similar, but based on sender/receiver in HPX (a lightweight threading runtime) and DLA-Future (distributed linear algebra currently based on (HPX) futures; based on sender/receiver in the future). With senders-as-awaitables this would also get you coroutine support for asynchronous MPI calls for free. We don't have that yet, but it's planned. In the meantime libunifex should be able to fill in the gaps.