Parallel thread execution means that instead of completing one task at a time, we can do more than one task at the same time. Just like how you can play with your toys and also listen to music at the same time.
Imagine you have two toy sets, and you want to build a castle with both of them. But it would take you a long time if you only built one at a time. So, you decide to work on both toys at the same time. You work on one set while your friend works on the other set. This way, you can complete building your castle much faster than if you tried to build it alone.
Now let's apply this same concept to computers. Computers have the ability to run multiple tasks at the same time using threads. Threads are like separate workers that can perform different tasks simultaneously. So, if we have a task that can be divided into multiple smaller tasks, we can assign each task to a separate thread, and they can work on them at the same time, much like you and your friend building different toy sets.
When we execute tasks in parallel, we can save time and complete work more efficiently. For example, if a computer needs to render a video that is ten minutes long, it could take up to an hour to complete the rendering process if it does it just one task at a time. However, if we split the video into five smaller sections and process them concurrently, it would only take ten minutes to render the entire video.
Overall, parallel thread execution allows us to complete more work in less time using the power of multiple threads or workers, just like how working with a friend can help you accomplish more in less time.