i am trying to parallel my program using OpenMP and sometimes i feels that i am reaching a dead end. I would like to share variables in a fu开发者_Python百科nction member that i defined (and initiali
i use in my program boost uniform distribution between 0 and 1: #include <boost/random/uniform_01.hpp>
I am experimenting with OpenMP. I wrote some code to check its performance. On a 4-core single Intel CPU with Kubuntu 11.04, the following program compiled with OpenMP is around 20 times slower than t
What are the steps to link to OpenMP with Intel C++ compiler? Does Intel compiler ship with its own OpenMP library or should开发者_C百科 I link to libgom?It comes with its own implementation apparentl
#pragma omp parallel { int x; // private to each thread ? } #pragma omp parallel for for (int i = 0; i < 1000; ++i开发者_开发问答)
I am attempting to calculate dot products of many vector pairs. Each dot product can use multiple threads, but no two or mo开发者_StackOverflow社区re dot products should be done concurrently due to da
For OpenMP, when my code is using the functions in its API (for example, omp_get_thread_num()) without using its directives (such as those #pragma omp ...),
I was wondering how OpenMP directives are handled by compiler, such as gcc? For example, in this code int main(int argc, char *argv[])
I am trying to make my_class thread-safe like so. class my_class { const std::vector<double>&
I\'ve done some searching but couldn\'t find anything that appeared to be related to my question (sorry if my question is redundant!).Anyway, as the title states, I\'m having trouble getting any impro
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