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

gpusnek is a project that explores running 1 million Python interpreters on a GPU to enable parallel execution of arbitrary Python code. By leveraging GPU architectures, it aims to bypass CPython's GIL limitations and achieve massive parallelism for general-purpose Python workloads, not just traditional GPU-accelerated tasks like machine learning.