Can you explain the difference between parallel and concurrent programming?

Understanding the Difference between Parallel and Concurrent Programming

In the realm of computer science, it's crucial to grasp the distinctions between parallel and concurrent programming. These concepts are fundamental to developing efficient and scalable applications. Let's delve into each to gain a clearer understanding.

Parallel Programming

With parallel programming, tasks are divided into smaller sub-tasks that can be executed simultaneously across multiple processing units. This approach aims to improve performance by leveraging the processing power of multiple cores or machines. The focus keyword here is parallel programming.

Concurrent Programming

Concurrent programming, on the other hand, involves the execution of multiple tasks that can start, run, and complete in overlapping time periods. While these tasks may not run simultaneously, they are managed in such a way that it appears as if they are running concurrently. It focuses on efficiently coordinating the execution of various tasks to enhance overall system responsiveness and resource utilization.