本の詳細
形式
キンドル
ページ数
937
言語
英語
公開されました
Jan 1, 2019
出版社
Apress
版
1st ed.
ISBN-10
1484243986
ISBN-13
9781484243985
説明
In the realm of modern programming, efficiency and performance are paramount, especially when it comes to managing parallel tasks. This work delves deep into Intel's Threading Building Blocks (TBB), offering a comprehensive guide tailored for seasoned programmers eager to optimize their C++ applications. The authors, James Reinders, Michael Voss, and Rafael Asenjo, combine their extensive expertise to form an indispensable resource for anyone looking to master parallel programming.
Through a meticulously crafted narrative, the book walks readers through the intricacies of TBB, explaining concepts with clarity and precision. Each chapter is thoughtfully structured, starting from the fundamental principles of parallelism to more advanced topics like task scheduling and load balancing. Readers are guided through practical examples that not only illustrate key points but also empower them to apply these techniques in real-world scenarios.
Moreover, the authors emphasize the balance between theoretical knowledge and practical application. They provide insights into performance analysis and optimization, enabling programmers to identify bottlenecks and enhance the efficiency of their applications. This proactive approach equips readers with the tools necessary to write scalable and responsive code.
Overall, this work stands as a vital addition to the library of any C++ developer seeking to elevate their skills in parallel programming. By mastering TBB, programmers will be well on their way to creating high-performance applications in an increasingly competitive landscape.
Through a meticulously crafted narrative, the book walks readers through the intricacies of TBB, explaining concepts with clarity and precision. Each chapter is thoughtfully structured, starting from the fundamental principles of parallelism to more advanced topics like task scheduling and load balancing. Readers are guided through practical examples that not only illustrate key points but also empower them to apply these techniques in real-world scenarios.
Moreover, the authors emphasize the balance between theoretical knowledge and practical application. They provide insights into performance analysis and optimization, enabling programmers to identify bottlenecks and enhance the efficiency of their applications. This proactive approach equips readers with the tools necessary to write scalable and responsive code.
Overall, this work stands as a vital addition to the library of any C++ developer seeking to elevate their skills in parallel programming. By mastering TBB, programmers will be well on their way to creating high-performance applications in an increasingly competitive landscape.