The statement sum=sum+n3 is actually adding the value of n3 in the variable sum.
But, I have added two extra lines of code here. Here, we are using the first program from this post. Printf("\nSum of the above Fibonacci Series is %d",sum) Now, I am going to print the addition of these fibonacci series. We have written 4 c programs for printing fibonacci series. So, when the value of this argument becomes zero, then this recursion will be stopped.Īlso Read: C Program to Remove Zeros from a number But every time, we are decrementing the value of the argument by 1. We are just calling the same function again and again from the called function. In the called function, we have not used for loop or while loop. Because I am using them in the main function as well as in the user-defined function. In the above program, I have declared global variables i.e. This c program will print the fibonacci series using the for loop.
Therefore, we are repeating the following steps 7, 8 and 9 until the value of i is less than or equal to the value of n.Īlso Read: C Program to Find the Sum of Cubes of Elements in an Array Fibonacci Series in C using for loop
But when I use OpenMP it's even slower! It seems silly to use an example to demonstrate how to use a feature of OpenMP which gives worse performance.
from Binet's formula).Īdditionally, recursion, which the OpenMP examples are based on, has much worse performance (several orders of magnitude worse) than calculating the numbers iteratively (this is well known Do iterative and recursive versions of an algorithm have the same time complexity?). I don't understand this as calculating the Fibonacci series is, to my understanding, fundamentally non parallel (ignoring methods based on closed form solutions, e.g. Some of these examples claim the performance is better with OpenMP. There are several examples online which calculate Fibonacci numbers using the task directive in OpenMP. Is there any benefit by using OpenMP to parallelize the Fibonacci number calculations?