# multithreading for optimal use of CPU

Impossible Impala answered on March 27, 2022 Popularity 1/10 Helpfulness 1/10

answer # multithreading for optimal use of CPU

# multithreading for optimal use of CPU

Comment

# multithreading for optimal use of CPU
import time
import threading

def calc_square(numbers):
    print("calculate square numbers")
    for n in numbers:
        time.sleep(1) # CPU becomes idle for 1 second
        print('square:',n*n)

def calc_cube(numbers):
    print("calculate cube of numbers ")
    for n in numbers:
        time.sleep(1) # CPU becomes idle for 1 second
        print('cube:',n*n*n)

arr = [2,3,8,9]

t = time.time()

t1= threading.Thread(target=calc_square, args=(arr,))
t2= threading.Thread(target=calc_cube, args=(arr,))

t1.start()
t2.start()

t1.join()
t2.join()

print("DONE IN : ",time.time()-t)

# Multithreading allows the execution of multiple parts of a program at the same time. This can be crucial at times when multiple actions that happen simultaneously needs to be handled. Else, they can be used to execute another piece of code(function) while the CPU is idle.

Popularity 1/10 Helpfulness 1/10 Language python

Source: Grepper

Tags: cpu multithreading optimal python

Link to this answer
Share Copy Link

Contributed on Mar 27 2022

Impossible Impala

0 Answers Avg Quality 2/10

Continue with Google

By continuing, I agree that I have read and agree to Greppers's Terms of Service and Privacy Policy.

# multithreading for optimal use of CPU

Contents

More Related Answers

# multithreading for optimal use of CPU

Grepper

Documentation

Social

Legal

Contact

Oops, You will need to install Grepper and log-in to perform this action.