What are the best practices for parallelism in coding?
Some best practices include understanding the problem domain, using appropriate parallel algorithms, and managing shared resources carefully.
Can you explain why managing shared resources is important?
Managing shared resources is crucial to avoid race conditions and ensure data consistency, which can lead to unpredictable behavior.
What tools can help with parallel programming?
Tools like OpenMP, MPI, and threading libraries in various languages can help implement parallelism effectively.
Are there any common pitfalls to avoid?
Yes, common pitfalls include over-parallelization, ignoring synchronization issues, and not profiling performance.
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