What are the differences between TBB and OpenMP?

What are the differences between TBB and OpenMP?

TBB (Threading Building Blocks) and OpenMP are both parallel programming models, but they have different approaches. TBB is more task-based and focuses on dividing work into tasks that can be executed in parallel, while OpenMP is directive-based and uses compiler directives to parallelize loops and sections of code.

Which one is better for performance?

It depends on the specific use case. TBB can offer better performance for complex applications with dynamic workloads, while OpenMP is often easier to implement for simpler parallelization tasks.

Can you give an example of using TBB?

Sure! Here's a simple example of using TBB to parallelize a loop:

#include <tbb/tbb.h>

void parallel_sum(int* array, int size) {
    tbb::parallel_reduce(tbb::blocked_range<int>(0, size), 0, 
        [&](const tbb::blocked_range<int>& r, int init) {
            for (int i = r.begin(); i != r.end(); ++i) {
                init += array[i];
            }
            return init;
        },
        std::plus<int>());
}

What about an example for OpenMP?

Here's a simple OpenMP example for parallelizing a loop:

#include <omp.h>

void parallel_sum(int* array, int size) {
    int sum = 0;
    #pragma omp parallel for reduction(+:sum)
    for (int i = 0; i < size; i++) {
        sum += array[i];
    }
}