Parallel backends API

Classes
class	cv::parallel::openmp::ParallelForBackend
class	cv::parallel::tbb::ParallelForBackend
class	cv::parallel::ParallelForAPI

Functions
CV_EXPORTS void	cv::parallel::setParallelForBackend (const std::shared_ptr< ParallelForAPI > &api, bool propagateNumThreads=true)
	Replace OpenCV parallel_for backend.
CV_EXPORTS_W bool	cv::parallel::setParallelForBackend (const std::string &backendName, bool propagateNumThreads=true)
	Change OpenCV parallel_for backend.

Detailed Description

API below is provided to resolve problem of CPU resource over-subscription by multiple thread pools from different multi-threading frameworks. This is common problem for cases when OpenCV compiled threading framework is different from the Users Applications framework.

Applications can replace OpenCV parallel_for() backend with own implementation (to reuse Application's thread pool).

Backend API usage examples

Intel TBB

• include header with simple implementation of TBB backend:
• execute backend replacement code:
• configuration of compiler/linker options is responsibility of Application's scripts

OpenMP

• include header with simple implementation of OpenMP backend:
• execute backend replacement code:
• Configuration of compiler/linker options is responsibility of Application's scripts

Plugins support

Runtime configuration options:

• change backend priority: OPENCV_PARALLEL_PRIORITY_<backend>=9999
• disable backend: OPENCV_PARALLEL_PRIORITY_<backend>=0
• specify list of backends with high priority (>100000): OPENCV_PARALLEL_PRIORITY_LIST=TBB,OPENMP. Unknown backends are registered as new plugins.

Function Documentation

setParallelForBackend() [1/2]

CV_EXPORTS void cv::parallel::setParallelForBackend	(	const std::shared_ptr< ParallelForAPI > &	api,
		bool	propagateNumThreads = true
	)

Replace OpenCV parallel_for backend.

Application can replace OpenCV parallel_for() backend with own implementation.

Note

This call is not thread-safe. Consider calling this function from the main() before any other OpenCV processing functions (and without any other created threads).

setParallelForBackend() [2/2]

CV_EXPORTS_W bool cv::parallel::setParallelForBackend	(	const std::string &	backendName,
		bool	propagateNumThreads = true
	)

Change OpenCV parallel_for backend.

Note

This call is not thread-safe. Consider calling this function from the main() before any other OpenCV processing functions (and without any other created threads).