In-Memory Processing Architectures and Applications
- 1st Edition, Volume 144 - January 10, 2027
- Latest edition
- Editors: Ali Hurson, Hamid Sarbazi-Azad
- Language: English
In-Memory Processing Architectures and Applications, published as Volume 144 of the serial Advances in Computers, provides a comprehensive and up‑to‑date examination of processing… Read more
Description
Description
In-Memory Processing Architectures and Applications, published as Volume 144 of the serial Advances in Computers, provides a comprehensive and up‑to‑date examination of processing‑in‑memory (PIM) and compute‑in‑memory (CIM) architectures, addressing their architectural foundations, circuit‑level innovations, security and reliability challenges, and emerging application domains. This volume brings together authoritative contributions that span DRAM‑ and SRAM‑based in‑memory computing, ferroelectric and other emerging memory technologies, modelling and simulation frameworks, and system‑level interconnect innovations, offering a balanced perspective on both the promises and pitfalls of PIM. Collectively, the chapters position in‑memory processing as a key enabler for overcoming data‑movement bottlenecks in modern computing systems while highlighting the reliability, energy efficiency, scalability, and security considerations that must be addressed for real‑world deployment.
Key features
Key features
- Explores DRAM‑, SRAM‑, and emerging‑device‑based processing‑in‑memory architectures at circuit, architecture, and system levels
- Examines reliability, energy efficiency, and security as first‑class design concerns in PIM/CIM systems
- Presents modelling and simulation frameworks to support design‑space exploration and evaluation
- Discusses architectural trade‑offs, scalability challenges, and interconnect innovations, including 3D‑stacked memories
- Balances visionary perspectives with critical analysis of practical limitations and deployment challenges
Readership
Readership
Computer architecture researchers and academics. Graduate students in computer engineering and computer science. Industry professionals working on memory systems, accelerators, and hardware security. Researchers in emerging memory technologies and energy‑efficient computing
Table of contents
Table of contents
1. Preface
2. Fast and Reliable Bitwise Computation Inside DRAM
3. Reliable and Energy Efficient In‑SRAM Computing
4. Security Landscape of Processing‑in‑Memory Architectures
5. Modeling and Simulation Frameworks for Processing‑in‑Memory Architectures
6. Reliable and Secure Compute‑in‑Memory Circuit and Architecture Based on Emerging Ferroelectric Devices
7. Toward Efficient and Secure Processing‑in‑Memory
8. Processing in Memory: Promises and Pitfalls
9. Revisiting Memory Interconnects: A Network‑on‑Memory Approach for Scalable Processing in 3D‑Stacked Memories
10. Processing‑in‑Memory Architectures Based on Novel DRAM Structures
2. Fast and Reliable Bitwise Computation Inside DRAM
3. Reliable and Energy Efficient In‑SRAM Computing
4. Security Landscape of Processing‑in‑Memory Architectures
5. Modeling and Simulation Frameworks for Processing‑in‑Memory Architectures
6. Reliable and Secure Compute‑in‑Memory Circuit and Architecture Based on Emerging Ferroelectric Devices
7. Toward Efficient and Secure Processing‑in‑Memory
8. Processing in Memory: Promises and Pitfalls
9. Revisiting Memory Interconnects: A Network‑on‑Memory Approach for Scalable Processing in 3D‑Stacked Memories
10. Processing‑in‑Memory Architectures Based on Novel DRAM Structures
Product details
Product details
- Edition: 1
- Latest edition
- Volume: 144
- Published: January 10, 2027
- Language: English
About the editors
About the editors
AH
Ali Hurson
Ali Hurson is an Electrical and Computer Engineering Professor at Missouri University of Science and Technology. His research in the past has been supported by various Government Agencies and Private industries. He has more than 350 publications in the area of databases, Computer Architecture, and Pervasive computing.
Affiliations and expertise
Missouri University of Science and Technology, Missouri, USAHS
Hamid Sarbazi-Azad
Hamid Sarbazi-Azad is currently a professor of computer science and engineering at Sharif University of Technology, and a research professor of computer science at the Institute for Research in Fundamental Sciences, both in Tehran, Iran . His research interests include high-performance computer/memory architectures, NoCs and SoCs, learning architectures,, social networks, and storage systems, on which he has published over 400 refereed papers. He received Khwarizmi International Award in 2006, TWAS Young Scientist Award in engineering sciences in 2007, and Sharif University Distinguished Researcher awards in years 2004, 2007, 2008, 2010 and 2013. He is now an associate editor of ACM Computing Surveys, IEEE Computer Architecture Letters, and Elsevier’s Computers and Electrical Engineering.
Affiliations and expertise
Sharif University of Technology, Tehran, Iran