Task: Implement Efficient Shared Memory for Large NumPy Arrays in Python Multiprocessing
Task: Implement Efficient Shared Memory for Large NumPy Arrays in Python Multiprocessing: a task in Terminal-Lego-15k (Harbor dataset). When using Python's multiprocessing module, each worker process typically gets its own copy of global data due to process isolation. For large arrays (e.g., 3GB)…
The task
When using Python's `multiprocessing` module, each worker process typically gets its own copy of global data due to process isolation. For large arrays (e.g., 3GB), this memory duplication can be problematic. This task requires you to implement and compare different approaches for sharing large read-only NumPy arrays…
Part of PrimeIntellect/Terminal-Lego-15k.