Write a serial implementation to calculate the standard-deviation of an array of randomly generated floating point values (or doubles!). Then thread it using std::threads as well as OpenMP (yes, two implementations!). Compare the performance results (over both N and P). Estimate the overhead costs for both parallelization methods.

Benchmark times for P = 10 and N = 1,000,000,000:

OpenMP: 0.20s

Std::threads: 0.20s

2) Add a capability to the OpenMP implementation to return a list (values and indices) of all values over a sigma value specified by the user.

3) Add the same capability to the std::threads implementation.

use openMP