Today’s TBB, 2nd Edition
eBook Details:
- Paperback: 518 pages
- Publisher: WOW! eBook; 2nd edition (April 18, 2025)
- Language: English
- ISBN-10: 8868812699
- ISBN-13: 978-8868812699
eBook Description:
Today’s TBB, 2nd Edition: C++ Parallel Programming with Threading Building Blocks
This Today’s TBB, 2nd Edition 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 Today’s TBB, 2nd Edition 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 Today’s TBB: C++ Parallel Programming with Threading Building Blocks, 2nd Edition book leverages the latest advancements in C++ alongside TBB to enhance your parallel programming capabilities.
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.
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.