/*
The Parallel STL is a library in C++ that provides parallel versions of the standard
STL algorithms, allowing you to perform complex operations on large data sets in 
parallel, potentially improving performance.

The Parallel STL is based on the execution policy concept, which determines the 
execution strategy for the algorithms. There are three types of execution policies:

std::execution::sequenced_policy: The algorithm is executed sequentially, without
parallelization.
std::execution::par_unseq_policy: The algorithm is executed in parallel using 
unspecified parallelization, which may be optimized for the target platform.
std::execution::par_policy: The algorithm is executed in parallel, with the number 
of threads determined by the underlying implementation.

For example, here's a simple code that calculates the sum of an integer vector in 
parallel using the std::reduce algorithm and the std::execution::par_unseq_policy 
execution policy: 

In this example, the std::reduce algorithm is used to calculate the sum of the elements in the v vector. The std::execution::par_unseq_policy execution policy is used to specify that the calculation should be done in parallel. The result of the calculation is then printed to the console.

This example demonstrates how the Parallel STL can be used to perform a simple
operation on a large data set in parallel, potentially improving performance.
However, as mentioned earlier, the Parallel STL is an experimental library, so
you should consult the official C++ standard library documentation for more 
information.
*/

#include <iostream>
#include <vector>
#include <numeric>
#include <execution>

int main()
{
    std::vector<int> v = {1, 2, 3, 4, 5, 6, 7, 8, 9, 10};
    int result = std::reduce(std::execution::par_unseq, v.begin(), v.end());
    std::cout << "The sum is: " << result << std::endl;

    return 0;
}