The pre allocated private STD:: vector in OpenMP is parallelized into a loop in C
•
Java
I'm going to use the buffer STD:: vector < size_ t> Buffer (100), one in each thread of loop parallelization, as shown in the code:
std::vector<size_t> buffer(100);
#pragma omp parallel for private(buffer)
for(size_t j = 0; j < 10000; ++j) {
// ... code using the buffer ...
}
This code does not work Although each thread has a buffer, their size is 0. 5
How do I allocate buffers at the beginning of each thread? Can I still use #pragma OMP parallel? I can do this more gracefully than this:
std::vector<size_t> buffer;
#pragma omp parallel for private(buffer)
for(size_t j = 0; j < 10000; ++j) {
if(buffer.size() != 100) {
#pragma omp critical
buffer.resize(100);
}
// ... code using the buffer ...
}
Solution
Split the OpenMP area, as shown in this question
The vector is then declared in the outer region, but outside the for loop itself This creates a local vector for each thread
#pragma omp parallel
{
std::vector<size_t> buffer(100);
#pragma omp for
for(size_t j = 0; j < 10000; ++j) {
{
// ... code using the buffer ...
}
}
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