Distributed Systems With Persistent Memory

Distributed Systems with Persistent Memory

Post-Silicon Hardware Design and Memory Architecture Essentials

The design of hardware and memory architectures has undergone a transformative evolution, driven by the relentless demands of modern computing applications. As the technology landscape transitions from traditional silicon-based paradigms to more advanced post-silicon architectures, the need for innovative approaches to hardware design and memory management has never been more pressing. This book, Post-Silicon Hardware Design and Memory Architecture Essentials, is conceived as a comprehensive resource to explore the foundational principles, contemporary challenges, and emerging opportunities in this dynamic field. The primary objective of this book is to provide readers with an in-depth understanding of the key aspects of post-silicon hardware design and memory systems. By bridging the gap between theoretical concepts and practical applications, we aim to equip students, researchers, and professionals with the tools and knowledge needed to excel in the rapidly advancing domain of hardware and memory architecture. From the basics of semiconductor technology to the complexities of heterogeneous computing and non-volatile memory systems, this book presents a cohesive narrative designed to inspire innovation and foster critical thinking. In developing this work, we have placed a strong emphasis on the interplay between hardware design principles and the architectural challenges posed by contemporary computing systems. Topics such as energy-efficient design, fault-tolerant systems, memory hierarchies, and scalable architectures are explored in depth. Furthermore, special attention is given to the role of emerging technologies such as 3D integration, spintronics, and quantum computing in shaping the future of hardware and memory systems. We believe that Post-Silicon Hardware Design and Memory Architecture Essentials will serve as a valuable reference for anyone seeking to navigate the complexities of post-silicon hardware and memory systems. Whether you are an aspiring student, a seasoned professional, or an academic researcher, this book offers a blend of foundational knowledge and forward-looking perspectives to guide you in your journey. Thank you for joining us in exploring the fascinating world of post-silicon hardware and memory architectures. Authors

Programming Scalable Systems with HPX

"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++.