Next-Generation Memory Systems: From 3D Silicon to Intelligent Computing

Next-Generation Memory Systems: From 3D Silicon to Intelligent Computing — Volume I: Advanced Memory Physics, HBM and Compute-in-Memory

As artificial intelligence, high-performance computing, and data-intensive applications continue to advance, memory architecture has become a critical factor in computing performance, energy efficiency, scalability, and system reliability.

Next-Generation Memory Systems presents a comprehensive engineering examination of advanced semiconductor memory technologies, connecting fundamental device physics with high-bandwidth memory architectures, three-dimensional integration, intelligent memory controllers, and emerging computational memory systems.

Written for researchers, semiconductor engineers, computer architects, graduate students, and technology professionals, this volume explores the scientific foundations and engineering challenges shaping next-generation memory systems.

Key topics include:

The memory wall and limitations of conventional computing architectures. Advanced DRAM physics, scaling challenges, and hierarchical memory systems. Mathematical modelling of memory bandwidth, latency, energy consumption, and performance. HBM4-class and successor high-bandwidth memory architectures. Three-dimensional DRAM stacking, through-silicon vias, and advanced semiconductor integration. Intelligent HBM base dies, adaptive memory control, and architectural optimization. Thermal–electrical co-design, signal integrity, and memory interface reliability. Near-memory computing and data-movement optimization. Digital processing-in-memory and analog compute-in-memory architectures. Emerging memory devices and adaptive optimization methodologies.

The book integrates mathematical formulations, architectural analysis, engineering models, research questions, and computational approaches to help readers understand the relationships between semiconductor device characteristics and system-level computing performance.

A dedicated 2027–2035 research outlook examines potential developments in advanced memory integration, intelligent computing architectures, energy-aware optimization, and memory-centric system design. These forward-looking discussions distinguish emerging research directions from established engineering technologies.

By connecting semiconductor physics, memory architecture, computational modelling, and intelligent system design, this volume provides a technical foundation for understanding and investigating the future of high-performance, energy-efficient computing.

Author: Adnan Haider Zaidi