Sum of array is a small problem where we have to add each element in the array by traversing through the entire array. But when the number of elements are too large, it could take a lot of time. But this could solved by dividing the array into parts and finding sum of each part simultaneously i.e. by finding sum of each portion in parallel.
This could be done by using multi-threading where each core of the processor is used. In our case, each core will evaluate sum of one portion and finally we will add the sum of all the portion to get the final sum. In this way we could improve the performance of a program as well as utilize the cores of processor.
It is better to use one thread for each core. Although you can create as many thread as you want for better understanding of multi-threading.
Input : 1, 5, 7, 10, 12, 14, 15, 18, 20, 22, 25, 27, 30, 64, 110, 220 Output : sum is 600 Input : 10, 50, 70, 100, 120, 140, 150, 180, 200, 220, 250, 270, 300, 640, 110, 220 Output : sum is 3030
Note – It is advised to execute the program in Linux based system.
Compile in linux using following code:
g++ -pthread program_name.cpp
sum is 600
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- Check if there exist two elements in an array whose sum is equal to the sum of rest of the array
- Find Sum of all unique sub-array sum for a given array.
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- Maximum subarray sum in O(n) using prefix sum
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- Minimize the sum calculated by repeatedly removing any two elements and inserting their sum to the Array
- Bitwise AND of the sum of prime numbers and the sum of composite numbers in an array
- Divide array in two Subsets such that sum of square of sum of both subsets is maximum
- Construct an Array of size N in which sum of odd elements is equal to sum of even elements
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