Parallel Software Development with Threading Building Blocks (eBook, ePUB)
Definitive Reference for Developers and Engineers
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"Parallel Software Development with Threading Building Blocks" Unlock the full potential of modern multicore and manycore architectures with "Parallel Software Development with Threading Building Blocks." This comprehensive guide demystifies the principles of parallelism and concurrency, illuminating their impacts on software design and performance. The book begins with a solid foundation in core concepts such as scalability, hardware memory models, and the practical implications of Amdahl's Law, then dives deep into the unique challenges of multithreaded development, including synchronization...
"Parallel Software Development with Threading Building Blocks"
Unlock the full potential of modern multicore and manycore architectures with "Parallel Software Development with Threading Building Blocks." This comprehensive guide demystifies the principles of parallelism and concurrency, illuminating their impacts on software design and performance. The book begins with a solid foundation in core concepts such as scalability, hardware memory models, and the practical implications of Amdahl's Law, then dives deep into the unique challenges of multithreaded development, including synchronization, data hazards, and key computational paradigms.
With a strong focus on Intel's Threading Building Blocks (TBB), this text offers an authoritative exploration of task-based parallelism in C++. Readers will discover best practices for integrating TBB into modern toolchains, migrating legacy codebases, and composing robust parallel patterns that interoperate with industry standards like OpenMP and MPI. The book methodically covers the TBB scheduler, parallel algorithms, concurrent data structures, and advanced orchestration techniques, providing both architectural overviews and hands-on programming guidance.
Beyond theory, this book is anchored in real-world applications and rigorous engineering practices. Readers will find in-depth treatments of profiling, debugging, and testing methodologies tailored to parallel environments, as well as domain-specific patterns spanning scientific computing, analytics, machine learning, and finance. The journey concludes with a forward-looking perspective on emerging trends-ranging from distributed and heterogeneous computing to the evolving landscape of green and secure parallel software. Whether you are an experienced C++ developer or new to parallel programming, this book is an indispensable resource for building high-performance, scalable, and future-ready applications.
Unlock the full potential of modern multicore and manycore architectures with "Parallel Software Development with Threading Building Blocks." This comprehensive guide demystifies the principles of parallelism and concurrency, illuminating their impacts on software design and performance. The book begins with a solid foundation in core concepts such as scalability, hardware memory models, and the practical implications of Amdahl's Law, then dives deep into the unique challenges of multithreaded development, including synchronization, data hazards, and key computational paradigms.
With a strong focus on Intel's Threading Building Blocks (TBB), this text offers an authoritative exploration of task-based parallelism in C++. Readers will discover best practices for integrating TBB into modern toolchains, migrating legacy codebases, and composing robust parallel patterns that interoperate with industry standards like OpenMP and MPI. The book methodically covers the TBB scheduler, parallel algorithms, concurrent data structures, and advanced orchestration techniques, providing both architectural overviews and hands-on programming guidance.
Beyond theory, this book is anchored in real-world applications and rigorous engineering practices. Readers will find in-depth treatments of profiling, debugging, and testing methodologies tailored to parallel environments, as well as domain-specific patterns spanning scientific computing, analytics, machine learning, and finance. The journey concludes with a forward-looking perspective on emerging trends-ranging from distributed and heterogeneous computing to the evolving landscape of green and secure parallel software. Whether you are an experienced C++ developer or new to parallel programming, this book is an indispensable resource for building high-performance, scalable, and future-ready applications.
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