1 | initial version |
From the 2.4.3 release notes:
Much better performance on many-core systems out of the box. You do not need TBB anymore on MacOSX, iOS and Windows. BTW, the binary package for Windows is now built without TBB support. Libraries and DLLs for Visual Studio 2010 use the Concurrency framework.
2 | No.2 Revision |
From the 2.4.3 release notes:
Much better performance on many-core systems out of the box. You do not need TBB anymore on MacOSX, iOS and Windows. BTW, the binary package for Windows is now built without TBB support. Libraries and DLLs for Visual Studio 2010 use the Concurrency framework.
About this the changelog writes:
Added universal parallel_for implementation using various backends: TBB , OpenMP , Grand Central Dispatch, Concurrency (Visual Studio 2010 or later), C=. Many exiting parallel OpenCV algorithms have been converted to the new primitive. Therefore, you can enjoy performance improvements even without having to install TBB and ship it with OpenCV-based applications.
3 | No.3 Revision |
From the 2.4.3 release notes:
Much better performance on many-core systems out of the box. You do not need TBB anymore on MacOSX, iOS and Windows. BTW, the binary package for Windows is now built without TBB support. Libraries and DLLs for Visual Studio 2010 use the Concurrency framework.
About this the changelog writes:
Added universal
parallel_forparallel_for
implementation using various backends: TBB , OpenMP , Grand Central Dispatch, Concurrency (Visual Studio 2010 or later), C=. Many exiting parallel OpenCV algorithms have been converted to the new primitive. Therefore, you can enjoy performance improvements even without having to install TBB and ship it with OpenCV-based applications.
4 | No.4 Revision |
From the 2.4.3 release notes:
Much better performance on many-core systems out of the box. You do not need TBB anymore on MacOSX, iOS and Windows. BTW, the binary package for Windows is now built without TBB support. Libraries and DLLs for Visual Studio 2010 use the Concurrency framework.
About this the changelog writes:
Added universal
parallel_for
implementation using various backends: TBB , OpenMP , Grand Central Dispatch, Concurrency (Visual Studio 2010 or later), C=. Many exiting parallel OpenCV algorithms have been converted to the new primitive. Therefore, you can enjoy performance improvements even without having to install TBB and ship it with OpenCV-based applications.