Intel Threading Building Blocks: Outfitting C++ for Multi-core Processor Parallelism
Enables you to specify tasks instead of threads for better portability, easier programming, more understandable source code, and better performance and scalability in general
Intel Threading Building Blocks: Outfitting C++ for Multi-core Processor Parallelism
Numéro d'article: 68276318

Intel Threading Building Blocks: Outfitting C++ for Multi-core Processor Parallelism

Numéro d'article: 68276318

XOF 14532

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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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Ce qui se démarque

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.

Détails du produit

Shop Intel Threading Building Blocks: Outfitting C++ for Multi-core Processor Parallelism online at a best price in Burkina Faso. B0093SZCP8
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)

À qui est-ce destiné ?

Suitable For
  • C++ Developers

    C++ programmers seeking to optimize their applications using multi-core processors will find valuable insights and techniques.

  • Performance Engineers

    Engineers focused on improving software performance in multi-threaded environments will benefit from effective parallel programming strategies.

  • Academic Researchers

    Researchers studying parallel computing concepts can leverage this book for foundational knowledge and real-world applications.

Not Suitable For
  • Beginners in C++

    Newcomers to C++ may struggle with the advanced concepts of threading and parallelism presented in this book.

DESCRIPTION DU PRODUIT

Intel Threading Building Blocks: Outfitting C++ for Multi-core Processor Parallelism

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Questions et réponses des clients

  • question: Who can benefit from this book?

    répondre: Any C++ programmer who wants to write an application to run on a multi-core system will benefit from this book.
  • question: What level of expertise is required to use this book?

    répondre: You don't need experience with parallel programming or multi-core processors to use this book. TBB is also very approachable for a C programmer or a C++ programmer without much experience with templates.
  • question: What is the unique feature of Intel Threading Building Blocks (TBB)?

    répondre: Intel Threading Building Blocks (TBB) enables you to specify tasks instead of threads for better portability, easier programming, more understandable source code, and better performance and scalability in general. It also emphasizes scalable, data-parallel programming which allows program performance to increase as you add processors.

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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Avantages

  • Good introductory material on parallel programming
  • Good coverage on algorithms used
  • Provides annotated pointers to its intellectual predecessors

Les inconvénients

  • Lacks diagrams to explain code parts

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