Emerging Computing: From Devices to Systems

Looking Beyond Moore and Von Neumann
1. Auflage 2023
ISBN: 978-981-1674-86-0
Verlag: Springer Nature Singapore

Buch, Englisch, 456 Seiten, HC runder Rücken kaschiert, Format (B × H): 160 mm x 241 mm, Gewicht: 857 g

Reihe: Computer Architecture and Design Methodologies

The book covers a range of topics dealing with emerging computing technologies which are being developed in response to challenges faced due to scaling CMOS technologies. It provides a sneak peek into the capabilities unleashed by these technologies across the complete system stack, with contributions by experts discussing device technology, circuit, architecture and design automation flows. Presenting a gradual progression of the individual sub-domains and the open research and adoption challenges, this book will be of interest to industry and academic researchers, technocrats and policymakers.
Chapters "Innovative Memory Architectures Using Functionality Enhanced Devices" and "Intelligent Edge Biomedical Sensors in the Internet of Things (IoT) Era" are available open access under a Creative Commons Attribution 4.0 International License via link.springer.com.

Zielgruppe

Research

Autoren/Hrsg.

Chattopadhyay, Anupam

Aly, Mohamed M. Sabry

Fachgebiete

• Technische Wissenschaften Elektronik | Nachrichtentechnik Elektronik Bauelemente, Schaltkreise
• Technische Wissenschaften Maschinenbau | Werkstoffkunde Technische Mechanik | Werkstoffkunde Materialwissenschaft: Biomaterialien, Nanomaterialien, Kohlenstoff
• Mathematik | Informatik EDV | Informatik Informatik Rechnerarchitektur

Inhaltsverzeichnis

Section I: Background.- Chapter 1: Introduction.- Chapter 2: Recent Trends in Computing Architectures.- Section II: Devices and Models.- Chapter 3: Logic Devices (Ambipolar, CNFET, NCFETs).- Chapter 4: Memory Devices (TIGFET, ReRAM).- Chapter 5: Interconnect and integration (Photonics, monolithic 3D, on-chip wireless).- Chapter 6: Computing with nano-Magnetic Logic.- Chapter 7: Quantum Technologies.- Section III: Circuits and Architectures.- Chapter 8: Near-memory Computing.- Chapter 9: In-Memory Computing.- Chapter 10: Brain-inspired Computing (Neuromorphic Computing, Hyperdimensional computing).- Chapter 11: On-Chip Communication Architectures (Scaling issues, Wired, Wireless, Photonic NoC).- Section IV: Design Automation Flows.- Chapter 12: Synthesis and Technology Mapping for Emerging Technologies.- Chapter 13: Verification and Testing for Emerging Technologies.- Chapter 14: Error-Tolerant Mapping for Quantum Computing.

Über Autor(innen)

Mohamed M. Sabry Aly is an Assistant Professor at Nanyang Technological University, Singapore, and the founder of EMASS. He received his Ph.D. degree in electrical and computer engineering from École Polytechnique Fédérale de Lausanne (EPFL), in 2013. He was a postdoctoral research fellow at Stanford University from 2014 till 2017. His current research interests include system-level design and optimization of computing systems enabled by emerging technologies, with particular emphasis on computing systems for artificial intelligence. He is a currently the program manager of the Singapore flagship AME programmatic project (Hardware Software Co-optimization for Deep Learning). He is an active close collaborator with top industrial and academic partners such as, Stanford University and TSMC. Prof. Aly is a Senior IEEE member and he was the recipient of the Swiss National Science Foundation Early Post-Doctoral Mobility Fellowship in 2013.

Anupam Chattopadhyay is an Associate Professor in the School of Computer Science and Engineering, Nanyang Technological University, Singapore. He received his B.E. degree from Jadavpur University, India in 2000. He received his MSc. from ALaRI, Switzerland and PhD from RWTH Aachen in 2002 and 2008 respectively. From 2008 to 2009, he worked as a Member of Consulting Staff in CoWare R&D, Noida, India. From 2010 to 2014, he led the MPSoC Architectures Research Group in RWTH Aachen, Germany as a Junior Professor. During his PhD, he worked on automatic RTL generation from the architecture description language LISA, which was commercialized later by a leading EDA vendor. Together with his doctoral students, he proposed new research directions in high-level synthesis, application-specific processors and emerging technologies. In these areas, he published as a (co)-author over 150 conference/ journal papers, several book-chapters and books. He is a senior member of ACM, senior member ofIEEE and fellow of Intercontinental Academia.