编译生成tbb动态库并用cmake链接

本文关于基于github源码编译tbb生成动态库，并在cmake中使用

步骤一： 编译tbb并生成shared library

在github下载项目源码

git clone git@github.com:oneapi-src/oneTBB.git


cd oneTBB

mkdir build && cd build

开始编译

参考：

Alex Reinking

cmake -G Ninja -S . -B build-shared -DBUILD_SHARED_LIBS=YES -DCMAKE_BUILD_TYPE=Release -DCMAKE_CXX_FLAGS=-DTBB_ALLOCATOR_TRAITS_BROKEN

cmake --build build-shared

cmake --install build-shared --prefix _install

执行完成后，在build文件夹里可以看到新生成的文件夹

 动态库生成。

步骤二：通过cmakelists建立链接

项目如上图结构组织，具体内容如下 

CMakeLists.txt

cmake_minimum_required(VERSION 2.8.9)
project (hello_tbb)

set(CMAKE_CXX_FLAGS "${CMAKE_CXX_FLAGS} -fPIC -std=c++11 -fpermissive -Wall -Werror -O2 -Wno-deprecated -Wno-deprecated-declarations")

add_executable(hello_tbb main.cpp)
#target_include_directories(hello_tbb PUBLIC ${CMAKE_HOME_DIRECTORY}/third_party/opencv-3.4.3/16.04/include)

#target_link_directories(hello_tbb PUBLIC ${CMAKE_HOME_DIRECTORY}/third_party/opencv-3.4.3/16.04/lib)
target_include_directories(hello_tbb PUBLIC ${CMAKE_HOME_DIRECTORY}/third_party/tbb_lib/include)
target_link_directories(hello_tbb PUBLIC ${CMAKE_HOME_DIRECTORY}/third_party/tbb_lib/lib)

#set(OpenCV_LIBS
#    opencv_ml opencv_highgui opencv_imgproc opencv_calib3d
#    opencv_features2d opencv_imgcodecs opencv_videoio opencv_video
#    opencv_aruco opencv_ccalib opencv_hdf opencv_core)


target_link_libraries(hello_tbb tbb)

#target_link_libraries(hello_tbb PUBLIC ${OpenCV_LIBS})

main.cpp

#include <iostream>
#include <random>
#include <chrono>
#include <cmath>
#include <tbb/tbb.h>

inline double calculate_objective_value(double x)
{
    return std::sin(x);
}

inline double calculate_derivative_value(double x)
{
    return std::cos(x);
}

int main()
{
    std::random_device seed;
    std::default_random_engine engine(seed());
    std::uniform_real_distribution<double> uniform_dist(0.0, 10.0);
    
    constexpr int num_elements   = 1000000;
    
    std::vector<double> x_optimal(num_elements);
    
    auto perform_gradient_descent = [&](int i)
    {
        constexpr double epsilon = 1e-15;
        constexpr double rate    = 0.99;
        
        double a = 0.50;
        double x = uniform_dist(engine);
        
        while (true)
        {
            const double delta = a * calculate_derivative_value(x);
            
            x -= delta;
            a *= rate;
            
            if (delta < epsilon) { break; }
        }
        
        x_optimal[i] = x;
    };
    
    const auto t_0 = std::chrono::system_clock::now();
    
    tbb::parallel_for(0, num_elements, perform_gradient_descent);
    
    const auto t_1 = std::chrono::system_clock::now();

    for (int i = 0; i < num_elements; ++ i) { perform_gradient_descent(i); }
    
    const auto t_2 = std::chrono::system_clock::now();
    
    const int elapsed_time_parallel = std::chrono::duration_cast<std::chrono::milliseconds>(t_1 - t_0).count();
    const int elapsed_time_serial   = std::chrono::duration_cast<std::chrono::milliseconds>(t_2 - t_1).count();
    
    std::cout << "parallel: " << elapsed_time_parallel << " [ms]" << std::endl;
    std::cout << "serial:   " << elapsed_time_serial   << " [ms]" << std::endl;

    return 0;

使用cmakelists编译成功后，运行OK

利用ldd检查一下可执行文件的链接关系，tbb链接位置正确，符合预期