In an environment with more than one CPU, we can parallelize the

computation tasks on multiple CPUs. This leads to parallel

processing of a bigger task that takes lesser time due to multiple

threads dividing the work among themselves.

One example is that if we have to process 1000 data files and

calculate the sum of numbers in each file. If each file takes 5

minutes, then 1000 files will take 5000 minutes for processing.

But by using multi-threading we can process these files in 10

parallel threads. So each thread will take 100 files each. Since now

work is happening in 10 parallel threads, the time taken will be

around 500 minutes

https://www.techtarget.com/searchitoperations/tip/Improve-application-performance-with-multithreaded-applications