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I've just learned about algorithms, ranges and views (from a book), including execution policy such as std::execution::par and I naively tried: import std; int main() { auto values {std::r...
#1: Initial revision
by
dode
·
2026-08-14T13:01:16Z (about 1 month ago)
Parallel execution with algorithms and execution policies
I've just learned about algorithms, ranges and views (from a book), including execution policy such as `std::execution::par` and I naively tried:
``` cpp
import std;
int main() {
auto values {std::ranges::views::iota(0, 10)};
std::for_each(
std::execution::par,
std::begin(values), std::end(values),
[] (const auto value) {
std::println("value: {}, thread: {}",
value, std::this_thread::get_id());
}
);
return 0;
}
```
According to `std::this_thread::get_id()`, all iterations are handled by the same thread.
Does the compiler consider this a too simple task to warrant the overhead of setting up multiple threads or are there other preconditions to be met?
I am compiling with:
``` bash
g++ -std=c++26 -O2 -Wall -fmodules -fsearch-include-path bits/std.cc -ltbb parallel.cpp -o parallel
```