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【OneTBB】MacOS&Linux环境下配置OneTBB库

发布时间 2023-11-24 21:00:52作者: Osea

参考博客

MacOS

Linux

 

代码仓库

 

安装展示

MacOS

命令行输入

1 brew install tbb
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截图展示

检查是否成功安装好

1 ls /usr/local/include/tbb
2 # 如果成功下载后，就会在 /usr/local/include下出现 tbb文件夹
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Linux

1、获取其代码仓库（外网）

方式1：git clone

1 git clone https://github.com/oneapi-src/oneTBB
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方式2：release 直接点击下载

Releases · oneapi-src/oneTBB

 

 

2、TBBConfig.cmake 配置 复制到系统中cmake

 

 1 #1.先去对应的系统中library中创建/cmake/TBB
 2 cd /usr/local/lib
 3 mkdir cmake && cd cmake
 4 mkdir TBB
 5 
 6 #2.再去 oneapi-tbb-2021.11.0/lib/cmake/中 
 7 cd oneapi-tbb-2021.11.0/lib/cmake
 8 
 9 #3.修改文档
10 vim TBBConfig.make
11 #里面有一个 TBB_FOUND FALSE -> TRUE
12 
13 #4.复制到 /usr/local/lib/cmake/TBB
14 cp TBBConfig*.cmake /usr/local/lib/cmake/TBB/.
15 
16 #5.检查
17 ls /usr/local/lib/cmake/TBB/
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3、TBBConfig.cmake 配置 复制到系统中cmake

3.1 查看自己是系统是32位还是64位

 

3.2 复制到/usr/local/lib/*.so

 

 1 # 1. 到相应的目录下
 2 cd /oneapi-tbb-2021.11.0/lib
 3 # 2. 查看自己系统是多少位系统
 4 uname -m #x86_64 = 64位  |  ( i686 | i386 ) = 32位
 5 # 3. 去相应的文件夹 64位去intel64 ; 32位就去ia32
 6 cd intel64/gcc4.8
 7 # 4. 复制到/usr/local/lib
 8 cp *.so* /usr/local/lib
 9 # 5. 检查是否 成功复制了？
10 ls /usr/local/lib/*tbb* | wc -l
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4、复制 头文件*.h 到 include下

 

1 # 1. 进入相应的目录下
2 cd oneapi-tbb-2021.11.0/include/oneapi
3 # 2. 复制目录下的东西至/usr/local/include即可
4 cp -rf ./* /usr/local/include
5 # 3. 检查一下是否 成功复制到
6 ls /usr/local/include/tbb
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测试

 

 

CMakeList.txt

 1 cmake_minimum_required(VERSION 3.12)
 2 project(tbbDemo)
 3 
 4 set(CMAKE_MODULE_PATH "${PROJECT_SOURCE_DIR}/cmake" ${CMAKE_MODULE_PATH})
 5 SET(CMAKE_C_COMPILER "/usr/bin/gcc")
 6 SET(CMAKE_CXX_COMPILER "/usr/bin/g++")
 7 
 8 set(CMAKE_CXX_STANDARD 17)
 9 
10 find_package(OpenMP)
11 find_package(TBB REQUIRED)
12 
13 add_compile_options(-O0 -Wall)
14 
15 
16 add_executable(example_mt example/example_multithread.cpp)
17 target_link_libraries(example_mt PUBLIC OpenMP::OpenMP_CXX TBB::tbb)
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example_multithread.cpp

 1 #include "tbb/blocked_range.h"
 2 #include "tbb/parallel_for.h"
 3 #include "tbb/task_scheduler_observer.h"
 4 
 5 #include <iostream>
 6 #include <vector>
 7 
 8 using namespace std ;
 9 
10 struct mytask {
11     mytask(size_t n)
12             :_n(n)
13     {}
14     void operator()() {
15         for (int i=0;i<1000000;++i) {}  // Deliberately run slow
16         std::cerr << "[" << _n << "]";
17     }
18     size_t _n;
19 };
20 
21 struct executor
22 {
23     executor(std::vector<mytask>& t)
24             :_tasks(t)
25     {}
26     executor(executor& e,tbb::split)
27             :_tasks(e._tasks)
28     {}
29 
30     void operator()(const tbb::blocked_range<size_t>& r) const {
31         for (size_t i=r.begin();i!=r.end();++i)
32             _tasks[i]();
33     }
34 
35     std::vector<mytask>& _tasks;
36 };
37 
38 int main(int,char**) {
39 
40     tbb::task_scheduler_observer init;  // Automatic number of threads
41     // tbb::task_scheduler_init init(2);  // Explicit number of threads
42 
43     std::vector<mytask> tasks;
44     for (int i=0;i<1000;++i)
45         tasks.push_back(mytask(i));
46 
47     executor exec(tasks);
48     tbb::parallel_for(tbb::blocked_range<size_t>(0,tasks.size()),exec);
49     std::cerr << std::endl;
50     cout<< "TEST:: Successful !!!"<<endl;
51     return 0;
52 }
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成功运行结果

 

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