What are some common mistakes in parallel processing?
An example of an AI chatbot conversation about common mistakes in parallel processing.
What are some common mistakes in parallel processing?
Some common mistakes include improper synchronization, excessive context switching, and not balancing the workload.
Can you explain why improper synchronization is a mistake?
Improper synchronization can lead to race conditions, where multiple processes access shared data simultaneously, causing errors.
What is excessive context switching?
Excessive context switching occurs when the CPU switches between processes too frequently, leading to performance degradation.
How can I avoid these mistakes in my projects?
To avoid these mistakes, ensure proper synchronization mechanisms, balance workloads, and minimize context switching.
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