Enable Safe, Scalable Parallelism with Intel Threading Building Block's Concurrent Containers
If you're among the many developers who are tackling the multicore future by writing multithreaded applications today, you'll soon learn that the container classes provided by the C++ STL are not thread friendly. Intel provides a C++ template library with thread-safe concurrent containers. Get a walk-through of what you can expect.
by Michael Voss
December 11, 2006
ultithreaded applications are notoriously difficult to write, test, and debug. However, to take full advantage of the added performance potential of multicore desktop and laptop systems, developers now face the challenging task of threading their applications. While there is no panacea for the difficulties that arise in multithreaded application development, leveraging existing libraries and tools can dramatically ease the burden of this transition.
In this article, I'll examine one of the leading sources of correctness and performance issues encountered when threading C++ applications: the use of thread-unsafe container classes. After providing some examples of why this issue arises, I'll describe the concurrent container classes provided by the Intel Threading Building Blocks (Intel TBB) library, a C++ template library specifically designed to aid in developing multithreaded applications. The concurrent container classes in TBB can be leveraged to safely add scalable parallelism to applications.
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ultithreaded applications are notoriously difficult to write, test, and debug. However, to take full advantage of the added performance potential of multicore desktop and laptop systems, developers now face the challenging task of threading their applications. While there is no panacea for the difficulties that arise in multithreaded application development, leveraging existing libraries and tools can dramatically ease the burden of this transition.
