This book presents the latest techniques for characterization, modeling and design for nano-scale non-volatile memory (NVM) devices. Coverage focuses on fundamental NVM device fabrication and characterization, internal state identification of memristic dynamics with physics modeling, NVM circuit design and hybrid NVM memory system design-space optimization. The authors discuss design methodologies for nano-scale NVM devices from a circuits/systems perspective, including the general foundations for the fundamental memristic dynamics in NVM devices. Coverage includes physical modeling, as well as the development of a platform to explore novel hybrid CMOS and NVM circuit and system design. • Offers readers a systematic and comprehensive treatment of emerging nano-scale non-volatile memory (NVM) devices; • Focuses on the internal state of NVM memristic dynamics, novel NVM readout and memory cell circuit design and hybrid NVM memory system optimization; • Provides both theoretical analysis and practical examples to illustrate design methodologies; • Illustrates design and analysis for recent developments in spin-toque-transfer, domain-wall racetrack and memristors.
Exa-scale computing needs to re-examine the existing hardware platform that can support intensive data-oriented computing. Since the main bottleneck is from memory, we aim to develop an energy-efficient in-memory computing platform in this book. First, the models of spin-transfer torque magnetic tunnel junction and racetrack memory are presented. Next, we show that the spintronics could be a candidate for future data-oriented computing for storage, logic, and interconnect. As a result, by utilizing spintronics, in-memory-based computing has been applied for data encryption and machine learning. The implementations of in-memory AES, Simon cipher, as well as interconnect are explained in details. In addition, in-memory-based machine learning and face recognition are also illustrated in this book.
This book provides an essential source for higher education teachers and student affair professionals in China and around the globe, who seek to deepen their understanding of Chinese undergraduate students they work with so as to promote their learning and development. Drawn from interview data with 64 college students in five colleges along with survey data with more than 23,000 students from 21 institutions in mainland China, this book examines student learning and college experiences from the students’ own perspectives. Researchers with a focus on Chinese higher education have reported on large-scale student surveys that have sprouted in recent years. While these surveys facilitate national and international comparison, uphold academic rigor and shift institutional attention towards student learning, this book will investigate the same important topic but with a different approach that seeks to understand college student life as told by themselves. Beyond Subject Matters: What I Have Learned in College? Student Learning and Development in Curricular Programs Student Learning and Development in Co-curricular and Extra-curricular Activities Student Learning and Development at Work, at Play and in Relationships c
The admiration of science and technology and the emphasis on political stability are two sides of the same coin in China. Therefore, China is more likely to take aggressive measures to promote or inhibit platform development than the United States and the European Union. But the uncertainty in the decision-making process is worrisome and calls for a broader discussion of the multiple political consequences of technology.
This book focuses on impedance source inverters, discussing their classification, advantages, topologies, analysis methods, working mechanisms, improvements, reliability, and applications. It summarizes methods for suppressing DC-link voltage spikes and duty loss, which can pose a problem for researchers; and presents novel, efficient, steady state and transient analysis methods that are of significant practical value, along with specific calculation examples. Further, the book addresses the reliability of impedance source inverters, adopting a methodology from reliability engineering to do so. Given its scope, it offers a valuable resource for researchers, engineers, and graduate students in fields involving impedance source inverters and new energy sources.
Exa-scale computing needs to re-examine the existing hardware platform that can support intensive data-oriented computing. Since the main bottleneck is from memory, we aim to develop an energy-efficient in-memory computing platform in this book. First, the models of spin-transfer torque magnetic tunnel junction and racetrack memory are presented. Next, we show that the spintronics could be a candidate for future data-oriented computing for storage, logic, and interconnect. As a result, by utilizing spintronics, in-memory-based computing has been applied for data encryption and machine learning. The implementations of in-memory AES, Simon cipher, as well as interconnect are explained in details. In addition, in-memory-based machine learning and face recognition are also illustrated in this book.
This book presents the latest techniques for characterization, modeling and design for nano-scale non-volatile memory (NVM) devices. Coverage focuses on fundamental NVM device fabrication and characterization, internal state identification of memristic dynamics with physics modeling, NVM circuit design and hybrid NVM memory system design-space optimization. The authors discuss design methodologies for nano-scale NVM devices from a circuits/systems perspective, including the general foundations for the fundamental memristic dynamics in NVM devices. Coverage includes physical modeling, as well as the development of a platform to explore novel hybrid CMOS and NVM circuit and system design. • Offers readers a systematic and comprehensive treatment of emerging nano-scale non-volatile memory (NVM) devices; • Focuses on the internal state of NVM memristic dynamics, novel NVM readout and memory cell circuit design and hybrid NVM memory system optimization; • Provides both theoretical analysis and practical examples to illustrate design methodologies; • Illustrates design and analysis for recent developments in spin-toque-transfer, domain-wall racetrack and memristors.
This will help us customize your experience to showcase the most relevant content to your age group
Please select from below
Login
Not registered?
Sign up
Already registered?
Success – Your message will goes here
We'd love to hear from you!
Thank you for visiting our website. Would you like to provide feedback on how we could improve your experience?
This site does not use any third party cookies with one exception — it uses cookies from Google to deliver its services and to analyze traffic.Learn More.