Learn about Intel thread building blocks open Source libraries
Brief introduction
We have found a powerful alternative to POSIX threads and windows-based threads, the Intel thread building block, which is a C + + based framework designed for parallel programming.
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Arpan Sen, independent writer
February 27, 2012 content
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Https://www.threadingbuildingblocks.org/docs/help/index.htmParallelizing Data Flow and Dependency GraphsIn addition to loop parallelism, the intel®threading Building Blocks (INTEL®TBB) library also supports graph parallelism . It's possible to create graphs that's highly scalable, but it's also possible to create graphs that's completely sequ Ential.In addition t
make full use of CPU resources and process data more quickly. The open-source TBB library developed by Intel cleverly utilizes the idea of pipeline, an Adaptive High-performance software pipeline TBB: pipeline is implemented. This article will take text_filter as an example to briefly introduce the implementation principle and some key technical points of pipeli
First download:
Http://www.threadingbuildingblocks.org/uploads/77/111/2.1/tbb21_20080605oss_win.zip
Current Version 2.1
Decompress the package to drive C, open vs2005, and set the project directory of VC ++.
Include:
C:/tbb21oss_win/include
Execution file:
C:/tbb21oss_win/ia32/vc8/bin
Library file:
C:/tbb21oss_win/ia32/vc8/lib
Finally, set my computer-environment variable settings
Add ";": C:/tbb21oss_win/ia32/vc8/bin
Then add a variable:
Tbb21_install_dir is C:/tbb21oss_win
Start the command li
Source Address: http://www.th7.cn/system/win/201505/103966.shtmlHttp://wenku.baidu.com/link?url=zH7vwmWltWF5R-9YGUDq5oSszkoWDxknBJmZkFY4w6FzV1P55h5XClOCd6UoB3tYCYjYt0ee_ Qw6k4gevvi82jegcs2cdgjmqutwqwozqj3Http://wenku.baidu.com/link?url=aDjwQPp3YH6ns0LKJI7MIGzlLJrRSYbZrT_ Da7ry6kbsnt6fkhbgbsg1fa22hafmpuy6ahjvu6n-l7xuk2nls9ldkoo5tqgitj45odh9wfeUsed on Win7 and VS2013Intel's TBB1.Software versionVisual Studio 2013TBB 4.3 Update 1 (tbb43_20141023oss_win.zip)2.InstallationTBBTbb,thread Building Block
Intel TBB Open Source
Intel threading building blocks is a C ++ concurrent library mainly used for high-performance C ++ program development.
The main advantage is that it does not have compiler requirements like OpenMP and supports more concurrent models.
TBB is currently open-source under the GPL protocol and can
Add Intel TBB and Python support under Windows using VS2008 compilation OpenCV2.1Steps:1. Read the installguide:http://opencv.willowgarage.com/wiki/installguide on the OPENCV website carefully2. In the "2" Install prerequisite Libraries and Tools, it is mentioned that Python 2.6 or 2.7 is required if you want to support Python calls, and you also need numpy and scipy libraries. To upgrade Python to 2.7, ref
In the last article (TBB: Pipeline, the power of the software pipeline), we finally raised several questions. Let's take a look at how TBB: Pipeline solves them one by one.
Why can pipeline ensure the sequence of Data Execution? Since TBB executes tasks through multiple threads in the final analysis, why is the string read after reading two strings first proces
First download intel TBB:
Http://threadingbuildingblocks.org/ver.php? FID = 1, 174
DownloadTbb40_233oss_src.tgz
Put it on the desktop, and select the specific path
Decompress the package and enable the command line:
CD/root/desktop/tbb40_233oss
Make
After compilation
Under the build path, the following appears:
Drwxr-XR-x 2 root Root 20480 01-24 12:42 linux_intel64_gcc_cc4.1.2_libc2.5_kernel2.6.18_
Get TBBTBB's official website in http://threadingbuildingblocks.org/, can be found on its downloads page commercial Aligned release, the latest version is tbb20_ 014,windows on the development need to download tbb20_014oss_src.tar.gz and tbb20_014oss_win.tar.gz. Other supported platforms are Linux and Mac.After extracting the downloaded compressed package, the tbb20_014oss_win.tar.gz has:tbb20_20070927oss_win/em64t/# Intel Extended Memory Technology (
to summarize the situation, that the results of each data need to be aggregated backThere are two kinds of forms:One is Lamda form, one is body formBody definitionBody::Body( Body, split ); //Splitting constructor.//Must be able to run concurrently with operator() and method joinBody::~Body(); void Body::operator()( Range r ); void Body::join( Body b ); //Join results.One of the lambda:templateExamples of Lambda:int result = parallel_reduce( blocked_range3), parallel_while sometimes do not k
is better to use OpenMP for C Programs and TBB for C ++.{Logclickcount (this, 111 );} "Href =" http://hi.csdn.net/horreaper "target =" _ blank "> horreaper
I am also working on high-performance computing recently, but I am just getting started. So I am very simple and hope that my fingers are high.
The libraries or standards cited by the author are used for parallel computing, but their respective focuses or implementation of parallel methods are dif
corporation\nvidia GPU Computing sdk4.2\c\common\bin") of the Cuda SDK has been added to the environment variable, We started compiling OPENCV that support CUDA high-speed operations.
In the case of visual Studio Professional, the other compilers are, in general, only slightly different in the step of the Intel TBB environment variable configuration, You can refer to the blog: Compile the x86 or x64 platfo
Win7opencv2.3.1vs2008: there is no error in compiling a small program in the Chinese version of opencv. when running the program, the error "Computer loss tbb_debug.dll" is reported ". The reason is that the dynamic library withtbb of opencv2.3.1 is used, but tbb is not installed in the system, so an error is reported. Sort out the collected solutions: 1. the simplest method:... opencvbuild
Win7opencv2.3.1vs2008: there is no error in compiling a smal
TBB 2.2 provides a uniform header file: TBB. H. You can use all the TBB libraries as long as the file is included. You can use the following commands to create a static library for ease of use:
#1. Download tbb22_20090908oss_src.tgz and go
Http://www.threadingbuildingblocks.org
#2. ExtractTar-zxvf tbb22_20090908oss_src.tgzCD tbb22_20090908oss
#3. Compile, no
Before we start the TBB journey, let's take a look at how to initialize and terminate the TBB library, after all, this is a basis for using TBB ~ ~ ~
The TBB provides a class:task_scheduler_init that initializes TBB in constructor and terminates the destructor library in
Document directory
Memory Allocation Problems
Memory distributor
Use a distributor in an STL container
Memory allocation is not only the basic task of programming, but also a major challenge affecting efficiency in multi-core programming. In C ++, we can use a custom memory distributor to replace std: allocator. Threading Building Blocks provides a Scalable Memory distributor compatible with std: allocator. Copyright 52bc.net
Each memory distributor has its own characteristics. The extens
1. Preparatory work:1) Complete visual Studio2012 installation;2) Download and unzip the CMake3.5.0;3) Download and unzip the OpenCV2.4.12;4) Download and unzip the Tbb44_20160128oss.2. Create a OpenCV static link library to compile the target directory for the project.3. Compile the project by CMake build OpenCV static link library:1) Double-click the Cmake-gui.exe, delete the configuration cache, select the build platform, as shown in;2) Select OpenCV2.4.12 Source directory (CMakeLists.txt dir
performance primitive (intel®IPP), Intel®Thread building module (intel®TBB) and media software development kit (only for Windows *). Most of these tools can be used on multiple platforms, so your code can be easily migrated between platforms. Then, you can use the Intel C +
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