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Today's TBB = C++ parallel programming with threading building blocks /

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
正題名/作者:	Today's TBB/ by Michael J. Voss, James R. Reinders.
其他題名:	C++ parallel programming with threading building blocks /
作者:	Voss, Michael J.
其他作者:	Reinders, James.
出版者:	Berkeley, CA :Apress : : 2025.,
面頁冊數:	lxxi, 447 p. :ill. (chiefly color), digital ; : 24 cm.;
Contained By:	Springer Nature eBook
標題:	Data Science. -
電子資源:	https://doi.org/10.1007/979-8-8688-1270-5
ISBN:	9798868812705

Today's TBB = C++ parallel programming with threading building blocks /
Voss, Michael J.

Today's TBBC++ parallel programming with threading building blocks /[electronic resource] :by Michael J. Voss, James R. Reinders. - Second edition. - Berkeley, CA :Apress :2025. - lxxi, 447 p. :ill. (chiefly color), digital ;24 cm.

Chapter 1: Jumping Right In - "Hello, TBB!" -- Chapter 2: Algorithms -- Chapter 3: Data Structures for Concurrency -- Chapter 4: Flowgraphs: The Basics -- Chapter 5: Flowgraphs: Expressing Applications -- Chapter 6: Task and Task Group -- Chapter 7: Memory Allocation -- Chapter 8: Synchronization -- Chapter 9: Cancellation and Exception Handling -- Chapter 10: Performance: Pillars of Composability -- Chapter 11: Performance Tuning -- Chapter 12: Migrating TBB to oneTBB -- Appendix A: History and Inspiration -- Glossary.

Open access.

This open-access book serves as a comprehensive guide for C++ programmers looking to master Threading Building Blocks (TBB). Authored by two experts in TBB and parallel programming, the book distills decades of collective experience in developing and teaching parallel programming concepts, presenting insights in a clear and accessible manner. Today's TBB starts with foundational principles, explaining key concepts and terminology used in parallel programming. It then introduces the major components of TBB including parallel algorithms, flow graphs, and task groups that help you fully leverage the power of multicore systems. The book emphasizes TBB's higher-level parallelism capabilities, which facilitate the creation of portable, scalable applications for modern CPUs. Key topics, including memory management in parallel contexts and effective synchronization for data structures, are well explored, ensuring a comprehensive understanding of these critical concepts. Later chapters delve into advanced topics including cancellation, exception handling, composability, performance tuning, and transitioning legacy code from older versions of TBB to Today's TBB. For nearly two decades, TBB has been invaluable to programmers, and this book leverages the latest advancements in C++ alongside TBB to enhance your parallel programming capabilities. TBB excels in unlocking the performance of code that is not well-suited for accelerators, making it an essential tool in the realm of parallel computing. If you work with technologies like CUDA, SYCL, or OpenCL for accelerated computing, mastering TBB will also enable you to orchestrate parallelism effectively on the host CPU, optimizing performance in the face of Amdahl's Law. What You'll Learn Create Scalable Code: Use TBB for portable, simple, and efficient programming. Parallelization Strategies: Implement best practices for intensive tasks. High-Performance Applications: Develop scalable parallel programs. Modern C++ Compatibility: Apply TBB with C++17 and later. Code Migration: Update legacy TBB code to leverage C++17 and Today's TBB. Think Parallel: Orchestrate parallelism in the entire computer system to your advantage.

ISBN: 9798868812705

Standard No.: 10.1007/979-8-8688-1270-5doiSubjects--Topical Terms:

1174436
Data Science.

LC Class. No.: QA76.73.C153 / V677 2025

Dewey Class. No.: 005.133

Today's TBB = C++ parallel programming with threading building blocks /
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505 0 $a Chapter 1: Jumping Right In - "Hello, TBB!" -- Chapter 2: Algorithms -- Chapter 3: Data Structures for Concurrency -- Chapter 4: Flowgraphs: The Basics -- Chapter 5: Flowgraphs: Expressing Applications -- Chapter 6: Task and Task Group -- Chapter 7: Memory Allocation -- Chapter 8: Synchronization -- Chapter 9: Cancellation and Exception Handling -- Chapter 10: Performance: Pillars of Composability -- Chapter 11: Performance Tuning -- Chapter 12: Migrating TBB to oneTBB -- Appendix A: History and Inspiration -- Glossary.
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