| Author | : Hao Yu |
| File Size | : 52,6 Mb |
| Publisher | : Unknown |
| Language | : English |
| Release Date | : 31 May 2014 |
| ISBN | : 149390552X |
| Pages | : 204 pages |
Download or read online Design Exploration of Emerging Nano Scale Non Volatile Memory written by Hao Yu,Yuhao Wang, published by Unknown which was released on 2014-05-31. Get Design Exploration of Emerging Nano Scale Non Volatile Memory Books now! Available in PDF, ePub and Kindle.
Get BookThis 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
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Get BookMem-elements for Neuromorphic Circuits with Artificial Intelligence Applications illustrates recent advances in the field of mem-elements (memristor, memcapacitor, meminductor) and their applications in nonlinear dynamical systems, computer science, analog and digital systems, and in neuromorphic circuits and artificial intelligence. The book is mainly devoted to recent results, critical aspects and
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Get BookAdvances in Computers, Volume 118, the latest volume in this innovative series published since 1960, presents detailed coverage of new advancements in computer hardware, software, theory, design and applications. Chapters in this updated release include Introduction to non-volatile memory technologies, The emerging phase-change memory, Phase-change memory architectures, Inter-line level schemes for handling
Get Book3D integration is an emerging technology for the design of many-core microprocessors and memory integration. This book, Advances in 3D Integrated Circuits and Systems, is written to help readers understand 3D integrated circuits in three stages: device basics, system level management, and real designs.Contents presented in this book include
Get BookExplains current co-design and co-optimization methodologies for building hardware neural networks and algorithms for machine learning applications This book focuses on how to build energy-efficient hardware for neural networks with learning capabilities—and provides co-design and co-optimization methodologies for building hardware neural networks that can learn. Presenting a complete picture
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