What is Julia's memory model for multi-threaded execution?

Julia uses a shared-memory model for threads but requires explicit synchronization to avoid race conditions.

Julia threads share the same heap, meaning all variables are accessible across threads. However, this introduces race conditions if mutable state is accessed concurrently. Developers must use atomic operations, locks, or thread-safe designs to ensure correctness. Unlike languages with strict concurrency models, Julia gives flexibility but shifts responsibility to the developer.