→Jaideep - Array Processing
From the call graph file, it is evident that the generateRandom() function is an obvious hotspot. It is hogging 100% of the execution time. The function consists of 2 for loops, one nested in the other. In a serial manner, the function accesses each element in the array and assigns a random number to it.
The computations involved with each element in the array is independent from the rest of the elements, and therefore this function is a deserving candidate for parallelization. Additionally, the array elements can be evenly distributed into subarrays and a process can be assigned to each subarray.