Python_multiThreading

captures concepts of python multithreading

GIL- Global Interpreter Lock in python

global interpreter lock is basically a mutex (lock) which allows only 1 kernel level thread to run in python
so even if we use Normal multiThreading in python, we are able to execute potentially only ONE kernel thread at a time instance, even though we may create multiple user level threads

Hyperthreading

with modern hyperthreading oncept CPU cores are logically divided into several Logical Cores, so for example if there are 4 Actual cores and through hyperthreading there are 8 Logical cores, then we are potentially utilizing only 100/8, i.e ONLY 12% of our CPU which is very low

for Cpu bound tasks

this concept leaves CPU intensive tasks with a poor performance because we are utilizing less capability of CPU

for I/O bound tasks

but at the same time I/O tasks are very well handled becuase there we are merely waiting

comparison between single threading and multithreading for I/O based tasks

without multithreading

with multithreading

so we can clearly not the difference between time taken for IO task with and without multithreading

program output with multithreading

program output without multithreading

:)