[bsenftner]

Worth mentioning Taichi, a high-performance parallel programming language embedded in Python. I've experimented with it a bit, and high-performance is very true. One can pretty much just write ordinary Python, plus enhancing existing Python is not that difficult either.

From their docs:

You can write computationally intensive tasks in Python while obeying a few extra rules imposed by Taichi to take advantage of the latter's high performance. Use decorators @ti.func and @ti.kernel as signals for Taichi to take over the implementation of the tasks, and Taichi's just-in-time (JIT) compiler would compile the decorated functions to machine code. All subsequent calls to them are executed on multi-CPU cores or GPUs. In a typical compute-intensive scenario (such as a numerical simulation), Taichi can lead to a 50x~100x speed up over native Python code.

Taichi's built-in ahead-of-time (AOT) system also allows you to export your code as binary/shader files, which can then be invoked in C/C++ and run without the Python environment.

https://www.taichi-lang.org/

[intelVISA]

> export your code as binary/shader files

That's cool af.