英特尔TBB在并行线程中运行一个函数？ [英] Intel TBB run a function in a parallel thread?

问题描述

基本上我正在开发一个opencv应用程序。我已在 cmake 中建立 OpenCV with_tbb 选项。

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

我想使用intel tbb来运行并行线程，在某些时间间隔更新一些全局变量。像：

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;
   }
}

如何运行 secondaryThreadFunction （）

How can I run secondaryThreadFunction() on another thread ?

推荐答案

Intel TBB不是用于这种类型的目的。
来自教程的引语：

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

英特尔®线程构建模块的目标是提高性能。
大多数通用线程程序包支持许多不同类型的
线程，例如图形化
用户界面中的异步事件线程。因此，通用程序包往往是提供基础而不是解决方案的
低级工具。相反，
英特尔®线程构建块专注于
的并行化计算密集型工作的特定目标，提供更高级别的
更简单的解决方案。

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.

你想做的事情可以很容易地用 boost :: thread 或者C ++ 11的线程特性：

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();

请记住，将访问权限同步到任何共享变量。

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

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