Parallel processing is a computing technique that involves breaking down complex tasks into smaller sub-tasks that are executed simultaneously by multiple processors or cores, significantly improving processing speed and efficiency. As data-intensive applications and artificial intelligence continue to grow, parallel processing has become increasingly relevant to the tech community, enabling developers to optimize performance, reduce latency, and tackle complex problems in fields such as scientific simulations, data analytics, and machine learning.
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