Multi-core processors are becoming common, yet writing even a simple parallel_for loop is tedious with existing threading packages. Writing an efficient scalable program is much harder. Scalability embodies the concept that a program should see benefits in performance as the number of processor cores increases.
Threading Building Blocks helps you create applications that reap the benefits of new processors with more and more cores as they become available.
Threading Building Blocks is a library that supports scalable parallel programming using standard C++ code. It does not require special languages or compilers. The ability to use Threading Building Blocks on virtually any processor or any operating system with any C++ compiler makes it very appealing.
Threading Building Blocks uses templates for common parallel iteration patterns, enabling programmers to attain increased speed from multiple processor cores without having to be experts in synchronization, load balancing, and cache optimization. Programs using Threading Building Blocks will run on systems with a single processor core, as well as on systems with multiple processor cores. Threading Building Blocks promotes scalable data parallel programming. Additionally, it fully supports nested parallelism, so you can build larger parallel components from smaller parallel components easily. To use the library, you specify tasks, not threads, and let the library map tasks onto threads in an efficient manner. The result is that Threading Building Blocks enables you to specify parallelism far more conveniently, and with better results, than using raw threads.
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