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Intel Threading Building Blocks: Outfitting C++ for Multi-core Processor Parallelism Features
Intel Threading Building Blocks: Outfitting C++ for Multi-core Processor Parallelism Overviews
Multi-core chips from Intel and Amd offer a dramatic boost in speed and responsiveness, and plenty of opportunities for multiprocessing on commonplace desktop computers. But they also present a challenge: More than ever, multithreading is a requirement for good performance. This guide explains how to maximize the benefits of these processors through a transported C++ library that works on Windows, Linux, Macintosh, and Unix systems. With it, you'll learn how to use Intel Threading construction Blocks (Tbb) effectively for parallel programming -- without having to be a threading expert.
Written by James Reinders, Chief Evangelist of Intel Software Products, and based on the perceive of Intel's developers and customers, this book explains the key tasks in multithreading and how to perform them with Tbb in a transported and robust manner. With plenty of examples and full reference material, the book lays out coarse patterns of uses, reveals the gotchas in Tbb, and gives leading guidelines for selecting among alternatives in order to get the best performance.
You'll learn how Intel Threading construction Blocks:
- Enables you to specify tasks instead of threads for good portability, easier programming, more understandable source code, and good doing and scalability in general
- Focuses on the goal of parallelizing computationally arduous work to deliver high-level solutions
- Is compatible with other threading packages, and doesn't force you to pick one package for your whole program
- Emphasizes scalable, data-parallel programming, which allows agenda doing to growth as you add processors
- Relies on generic programming, which enables you to write the best possible algorithms with the fewest constraints
Any C++ programmer who wants to write an application to run on a multi-core theory will benefit from this book. Tbb is also very approachable for a C programmer or a C++ programmer without much perceive with templates. Best of all, you don't need perceive with parallel programming or multi-core processors to use this book.
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