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Intel Threading Building Blocks (Paperback, Anniversary And)
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Intel Threading Building Blocks (Paperback, Anniversary And)
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Multi-core chips from Intel and AMD offer a dramatic boost in speed
and responsiveness, and plenty of opportunities for multiprocessing
on ordinary 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 portable C++ library that works on
Windows, Linux, Macintosh, and Unix systems. With it, you'll learn
how to use Intel Threading Building 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 experience of Intel's developers and
customers, this book explains the key tasks in multithreading and
how to accomplish them with TBB in a portable and robust manner.
With plenty of examples and full reference material, the book lays
out common patterns of uses, reveals the gotchas in TBB, and gives
important guidelines for choosing among alternatives in order to
get the best performance. You'll learn how Intel Threading Building
Blocks: * Enables you to specify tasks instead of threads for
better portability, easier programming, more understandable source
code, and better performance and scalability in general * Focuses
on the goal of parallelizing computationally intensive work to
deliver high-level solutions * Is compatible with other threading
packages, and doesn't force you to pick one package for your entire
program * Emphasizes scalable, data-parallel programming, which
allows program performance to increase 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 system
will benefit from this book. TBB is also very approachable for a C
programmer or a C++ programmer without much experience with
templates. Best of all, you don't need experience with parallel
programming or multi-core processors to use this book.
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