At its core, parallel processing is about breaking down a large, complex task into smaller, manageable sub-tasks that can be executed simultaneously across multiple processing units or nodes. Think of it like a team project where different members tackle different parts of the assignment at the same time, leading to much quicker completion than if Read More …