Programming Scalable Systems with HPX (eBook, ePUB)
Definitive Reference for Developers and Engineers
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"Programming Scalable Systems with HPX" "Programming Scalable Systems with HPX" is a comprehensive guide to modern parallel and distributed programming, crafted for software engineers, system architects, and researchers aspiring to master high-performance C++ solutions at scale. The book opens by establishing the challenges of conventional parallel programming models, such as MPI and OpenMP, and explores how emerging hardware architectures-NUMA, many-core, and cloud-necessitate new approaches to scalability. With rich real-world use cases, it introduces HPX (High Performance ParalleX) as a gro...
"Programming Scalable Systems with HPX"
"Programming Scalable Systems with HPX" is a comprehensive guide to modern parallel and distributed programming, crafted for software engineers, system architects, and researchers aspiring to master high-performance C++ solutions at scale. The book opens by establishing the challenges of conventional parallel programming models, such as MPI and OpenMP, and explores how emerging hardware architectures-NUMA, many-core, and cloud-necessitate new approaches to scalability. With rich real-world use cases, it introduces HPX (High Performance ParalleX) as a groundbreaking model positioned to address the complexities and bottlenecks inherent in building scalable, flexible, and robust distributed applications.
Depth and clarity characterize the book's coverage of HPX's architecture, including its innovative Active Global Address Space (AGAS), fine-grained threading, and resource partitioning via thread pools and scheduling policies. Readers are guided through practical programming idioms like asynchronous task composition, parallel containers, and the implementation of advanced execution policies-equipping them with a powerful toolkit for constructing responsive, efficient, and maintainable code. The text delves into advanced communication patterns, synchronization primitives, and memory management strategies, including distributed garbage collection and NUMA-aware execution, ensuring a solid grasp of the underpinnings crucial to both correctness and performance.
Beyond technical mastery, "Programming Scalable Systems with HPX" engenders a forward-looking perspective. It addresses cloud and edge deployment, heterogeneous computing with accelerators, and network optimization for multi-tenant environments, all while upholding security and formal verification standards. Concluding with extensibility, future standards, and research directions, this book offers both a practical manual for today's professionals and an inspiring roadmap for shaping the next generation of scalable, portable, and high-performance systems in C++.
"Programming Scalable Systems with HPX" is a comprehensive guide to modern parallel and distributed programming, crafted for software engineers, system architects, and researchers aspiring to master high-performance C++ solutions at scale. The book opens by establishing the challenges of conventional parallel programming models, such as MPI and OpenMP, and explores how emerging hardware architectures-NUMA, many-core, and cloud-necessitate new approaches to scalability. With rich real-world use cases, it introduces HPX (High Performance ParalleX) as a groundbreaking model positioned to address the complexities and bottlenecks inherent in building scalable, flexible, and robust distributed applications.
Depth and clarity characterize the book's coverage of HPX's architecture, including its innovative Active Global Address Space (AGAS), fine-grained threading, and resource partitioning via thread pools and scheduling policies. Readers are guided through practical programming idioms like asynchronous task composition, parallel containers, and the implementation of advanced execution policies-equipping them with a powerful toolkit for constructing responsive, efficient, and maintainable code. The text delves into advanced communication patterns, synchronization primitives, and memory management strategies, including distributed garbage collection and NUMA-aware execution, ensuring a solid grasp of the underpinnings crucial to both correctness and performance.
Beyond technical mastery, "Programming Scalable Systems with HPX" engenders a forward-looking perspective. It addresses cloud and edge deployment, heterogeneous computing with accelerators, and network optimization for multi-tenant environments, all while upholding security and formal verification standards. Concluding with extensibility, future standards, and research directions, this book offers both a practical manual for today's professionals and an inspiring roadmap for shaping the next generation of scalable, portable, and high-performance systems in C++.
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