Differences between Parallelism and Concurrency

Let’s imagine two examples:

You are dining with a traditional Chinese family.
You are dining with a Western family.

In a typical Chinese family, we share dishes such as vegetables, porks, soup etc. in the same table. Even though we happen to hold our own chopsticks and rice, we do share the same dishes. This is call 202202011815#.

In contrast, the western family have their ingredients pack into one meal for everyone around the table. Assume that all of you drink mineral water. There is no need to share anything. This is call parallelism.

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Multithreading Management

Multithreading becomes important as the number of core for the processor increases. This allows the possibility of parallelism and concurrency# along with their limitation# and short comings# with the utilisation of threads#. 202201301240# is one of the thinking model hinting on a better parallel and/or concurrency programming.
Limitation of Parallelism

Take the #example from the Western family. Suppose that some of you want to drink a wine which value $1000. It is impossible to let everyone hold a bottle of wine for themselves which resulted that you all agree to share the wine together. Even if you hold your own glass, the wine is still needed to be shared.
Concurrency

Always look for a parallelism solution such as in #this example.

#multithreading