Project-Alice VS quaternion

Currently I am part of a team working on an open source game (https://github.com/schombert/Project-Alice) that intends to lean heavily on vectorization for performance, since it is a strategy game that has to work with a decently large amount of data, by the standards of a game at least. We have things set up so that most of the data is stored in something like the struct of arrays pattern and we have some machinery in place for doing vectorized operations on it. But obviously we could benefit from a specialist. On the other hand, perhaps a game is not serious enough for your work, and there is a lot of things going on in a game that are probably irrelevant for your work.

Well on our way to recreating the game Victoria 2 in C++ from scratch (i.e. we didn't use an existing game engine). https://github.com/schombert/Project-Alice

It looks like it will be done much sooner then. They have done a lot so far https://github.com/schombert/Project-Alice/blob/main/docs/Devlogs/may/may.md

a small search resulted in this development blog from 3 days ago (after one a month ago)

Enjoy: https://github.com/schombert/Project-Alice/blob/main/docs/rules.md It isn't 100% complete, but it is most of the way there

Project Alice is a continuation of a previous effort by u/schombert to create an open source Victoria 2. He is rebuilding the project in c++ with opengl and can be found here. I'm not sure on actual implementation details and any modding / multiplayer details

numpy-quaternion is a neat little C extension for Python that adds support for quaternions to NumPy. I haven't seen it use SIMD or GPGPU in a quick look through its source.

Fortunately, the "quaternion" component of the project has gone on, in two incarnations. One is https://github.com/moble/quaternion/, which continues to use the dtype approach. The other is https://github.com/moble/quaternionic/, which instead creates a subclass of ndarray.