The pre allocated private STD:: vector in OpenMP is parallelized into a loop in C
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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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