Changes

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 sub-arrays and a process can be assigned to each sub-array.

For Assignment 2, we decided to parallelize the application selected by Bruno.

In the code, the function that took up a significant amount of time was the calculateDimensions() function. The flat profile indicates that this function takes 97.67% of the execution time.

Below is a graph that shows the time taken for execution of both the serial approach and the parallel approach.

=== Assignment 3 ===