Parallel computing and distributed computing differ in their approach to processing tasks:
Parallel Computing: Involves multiple processors or cores working simultaneously on different parts of the same task within a single system. It focuses on dividing a problem into smaller sub-problems that are solved concurrently to speed up computation. All processors typically share a single memory space.
Distributed Computing: Involves multiple systems or nodes working together to solve a task. These nodes are usually connected via a network and have their own individual memory. The task is divided into parts, and each part is processed independently on separate nodes.
In summary, parallel computing operates within a single system, while distributed computing relies on multiple systems working together.