How do I parallelize algorithms with execution policies in C++?

In C++, parallelization of algorithms can be efficiently achieved using execution policies introduced in C++17. These execution policies allow developers to specify how algorithms should execute, such as whether to run sequentially or in parallel, which can significantly improve performance on multi-core processors. Below is an example of how to use execution policies with the C++ Standard Library algorithms.

#include #include #include #include int main() { std::vector numbers = {1, 2, 3, 4, 5}; // Using the parallel execution policy std::for_each(std::execution::par, numbers.begin(), numbers.end(), [](int &n) { n *= 2; }); std::cout << "Doubled numbers: "; for (const auto& num : numbers) { std::cout << num << " "; } std::cout << std::endl; return 0; }

C++ parallel algorithms execution policies C++17 multi-core processors Standard Library