Processes vs Threads Pool for parfor with Large Shared Read-Only Data
When a parfor loop processes large read-only datasets that exceed per-worker memory limits in a Processes pool, the Threads pool offers shared-memory access but introduces thread-safety uncertainty with third-party libraries. MathWorks documentation recommends Processes for general parfor use and Threads only when workers spend most time in thread-safe MEX o
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