Unlocking Python's Cores: Hardware Usage and Energy Implications of Removing the GIL
Summary
This arXiv paper examines energy usage and hardware implications of removing the Python GIL. It compares a GIL-enabled CPython with an experimental no-GIL build across multiple workloads, finding that no-GIL benefits parallel workloads but can increase memory and energy for sequential or contention-heavy workloads. The study cautions that no-GIL is not universally beneficial and recommends workload-specific evaluation before adoption.