Parallelizing Arbitrary Python Code by Running 1M Python Interpreters on a GPU

A new project demonstrates running one million Python interpreters in parallel on a GPU to parallelize arbitrary Python code, showcasing a novel approach to leveraging GPU hardware for general-purpose Python computation.