WEBVTT

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So, guys, now let us try to understand what exactly parallelism is.

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So continuing with the same example, the parallelism is very easy to understand.

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Parallelism simply means that doing two or more different tasks in parallel that is at the same time.

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Right?

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So let us extend the same example.

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So consider this time you have three well-diggers assigned a task to dig the respective 100ft deep.

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Well.

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Right.

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But the only difference is that that each one of them now have their own personal well drilling tool

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right now, that every person has its own personal well drilling tool.

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It means that all the three can take the well in parallel.

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Right.

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And there is no need for anybody to take rest until he completes the work.

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So it simply means that all of the three are doing the work in parallel.

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So the work of all the three well diggers is in progression as well as they are doing the work very

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fast.

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Right.

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So in parallelism, all the three well diggers will be able to complete the work in approximately three

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by three times where t is the total time taken by all the three well diggers when they were digging

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the well in a concurrent fashion.

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So here because we have allocated more resources to the Well-digger here, resources means the well-drilling

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tool, right?

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And therefore they are.

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And because they have more hardware resources, therefore they are able to work independently, they

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are able to work without blocking each other.

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Right.

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Because of more hardware resources, no well-digger is ever dependent on other well-digger and they

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can do their respective work in parallel.

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So it simply means that the total effective time taken to complete the work in parallelism is a way

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less than the time taken to complete the same amount of work in a concurrent manner.

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Right.

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So the point to be noted here is that that the three well-diggers are able to do their work in parallel

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because they were provided with more hardware resources.

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Right?

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We were going to map these examples of doing work in a concurrent manner or doing work in a parallel

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manner to the world of multithreading and see how this impact the the speed and throughput of the multithreaded

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process.