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Home/ Questions/Q 8261223
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Editorial Team
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Editorial Team
Asked: June 8, 20262026-06-08T03:19:53+00:00 2026-06-08T03:19:53+00:00

Basically I am developing an opencv application. I have built OpenCV with_tbb option in

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Basically I am developing an opencv application. I have built OpenCV with_tbb option in cmake.

I would like to use intel tbb to run a parallel thread that at some intervals updates some global variables. Something like:

vector<int> mySharedVar;

void secondaryThreadFunction() {
 while(true) {
   Do some operations
   And update mySharedVar if necessarily  

   usleep(1000);
 }
}

int main() {
   run in parallel secondaryThreadFunction;

   in the master Thread keep doing something based on mySharedVar

   while(true) {
    do something;
   }
}

How can I run secondaryThreadFunction() on another thread ?

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1 Answer

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  1. Editorial Team
    Editorial Team
    2026-06-08T03:19:55+00:00Added an answer on June 8, 2026 at 3:19 am

    Intel TBB is not meant to be used for that kind of purpose.
    Quote from the Tutorial:

    Intel® Threading Building Blocks targets threading for performance.
    Most general-purpose threading packages support many different kinds
    of threading, such as threading for asynchronous events in graphical
    user interfaces. As a result, general-purpose packages tend to be
    low-level tools that provide a foundation, not a solution. Instead,
    Intel® Threading Building Blocks focuses on the particular goal of
    parallelizing computationally intensive work, delivering higher-level,
    simpler solutions.

    The thing you wanna do can be easily achived with either boost::thread or the C++11 threading features:

       // using async
       auto fut = std::async(std::launch::async, secondaryThreadFunction);
       // using threads (for boost, just replace std with boost)
       std::thread async_thread(secondaryThreadFunction);
    
       in the master Thread keep doing something based on mySharedVar
    
       while(true) {
        do something;
       }
    
       // in case of using threads
       async_thread.join();
    

    Keep in mind to sync the access to any shared variables.

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