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68276318
Intel Threading Building Blocks: Outfitting C++ for Multi-core Processor Parallelism
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Item #:
68276318
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Enables you to specify tasks instead of threads for better portability, easier programming, more understandable source code, and better performance and scalability in general.
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What Stands Out
Optimized Parallelism
Enhances C++ with advanced threading capabilities, allowing developers to efficiently utilize multi-core processors, optimizing application performance for modern hardware.
Ease of Use
Provides a high-level abstraction for multi-threading, making it accessible for developers while reducing the complexity of traditional threading models.
Comprehensive Documentation
Includes detailed explanations, examples, and best practices, helping users to quickly adopt and effectively implement threading solutions in their C++ applications.
Product Details
- Explains how to maximize the benefits of multi-core processors through a portable C++ library that works on Windows, Linux, Macintosh, and Unix systems
- Written by James Reinders, Chief Evangelist of Intel Software Products, based on Intel's developers and customers' experience
- Covers key tasks in multithreading and how to accomplish them with TBB in a portable and robust manner
- Enables specifying tasks instead of threads for better portability, easier programming, more understandable source code, and better performance and scalability
- Focuses on parallelizing computationally intensive work to deliver high-level solutions, compatible with other threading packages, and emphasizes scalable, data-parallel programming
- Suitable for C++ or C programmers without much experience with templates, and does not require experience with parallel programming or multi-core processors
| Publisher | O'Reilly Media |
| Publication date | August 21, 2007 |
| Edition | 1st |
| Language | English |
| Print length | 332 pages |
| ISBN-10 | 0596514808 |
| ISBN-13 | 978-0596514808 |
| Item Weight | 1.18 pounds (540 grams) |
| Dimensions | 7 x 0.71 x 9.19 inches (17.8 x 1.8 x 23.3 cm) |
Who Should Buy?
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C++ Developers
C++ programmers seeking to optimize their applications using multi-core processors will find valuable insights and techniques.
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Performance Engineers
Engineers focused on improving software performance in multi-threaded environments will benefit from effective parallel programming strategies.
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Academic Researchers
Researchers studying parallel computing concepts can leverage this book for foundational knowledge and real-world applications.
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Beginners in C++
Newcomers to C++ may struggle with the advanced concepts of threading and parallelism presented in this book.
Product Description
Intel Threading Building Blocks: Outfitting C++ for Multi-core Processor Parallelism
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Software Development Editorial Review
The "Intel Threading Building Blocks: Outfitting C for Multi-core Processor Parallelism 1st Edition" book is a complementary manual of Intel's TBB documents, providing excellent introductory material on parallel programming, but it lacks diagrams to explain its code parts. The book proposes good concurrency philosophy and offers in-depth coverage on algorithms used, which works through applications of differing complexity and varied domains. Customers have commented that the book is outdated, and some newer Constructs are not covered. There is also a call to update the book with the lambda expression variant. Overall, the book is Considered a good example book.
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Pros
- Good introductory material on parallel programming
- Good coverage on algorithms used
- Provides annotated pointers to its intellectual predecessors
Cons
- Lacks diagrams to explain code parts
Product Price History
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Features & Benefits
- Intel Threading Building Blocks (TBB) is a portable C++ library that works on all types of systems
- The book explains the key tasks in multithreading and how to accomplish them with TBB in a portable and robust manner
- TBB focuses on the goal of parallelizing computationally intensive work to deliver high-level solutions
- TBB allows program performances to increase as you add processors
- Suitable for a C++ programmer wanting to write an application to run on a multi-core system
- Approachable for a C programmer or a C++ programmer without much experience with templates
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