Intel Threading Building Blocksby James Reinders
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++… See more details below
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
- O'Reilly Media, Incorporated
- Publication date:
- Edition description:
- New Edition
- Product dimensions:
- 7.53(w) x 9.30(h) x 0.71(d)
and post it to your social network
Most Helpful Customer Reviews
See all customer reviews >
Perfect read for parallel programming in C or C++. Parallel programming is a topic all programmers need to study - this book is the best book on the market on this topic for any programmer looking to use multi-core processors - and I've looked at many. The introduction is brilliant, and the book is full of examples which are well explained to make learning easy.
I've been thinking about multi-core processors and how to write for concurrency - and along comes this book. It not only presents a strong case for using threading building blocks - but it offered a fantastic introduction to the overall topic of parallel programming for multi-core. The book is amazingly approachable yet detailed - well written, and is a 'must read' for C++ and C programmers.