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Robust Computing With Nano Scale Devices

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Robust Computing With Nano Scale Devices

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Author : Chao Huang
language : en
Publisher: Springer Science & Business Media
Release Date : 2010-03-11

Robust Computing With Nano Scale Devices written by Chao Huang and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2010-03-11 with Technology & Engineering categories.

Robust Nano-Computing focuses on various issues of robust nano-computing, defect-tolerance design for nano-technology at different design abstraction levels. It addresses both redundancy- and configuration-based methods as well as fault detecting techniques through the development of accurate computation models and tools. The contents present an insightful view of the ongoing researches on nano-electronic devices, circuits, architectures, and design methods, as well as provide promising directions for future research.

Nanoscale Devices

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Author : Brajesh Kumar Kaushik
language : en
Publisher: CRC Press
Release Date : 2018-11-16

Nanoscale Devices written by Brajesh Kumar Kaushik and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-11-16 with Science categories.

The primary aim of this book is to discuss various aspects of nanoscale device design and their applications including transport mechanism, modeling, and circuit applications. . Provides a platform for modeling and analysis of state-of-the-art devices in nanoscale regime, reviews issues related to optimizing the sub-nanometer device performance and addresses simulation aspect and/or fabrication process of devices Also, includes design problems at the end of each chapter

Nanoscale Computing

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Author : Santhosh Sivasubramani
language : en
Publisher: John Wiley & Sons
Release Date : 2025-01-22

Nanoscale Computing written by Santhosh Sivasubramani and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-01-22 with Technology & Engineering categories.

Understand the future of computing with this accessible, wide-ranging introduction to a promising field Miniaturization and the emergence of nanotechnology have together constituted the most revolutionary development in recent decades of computing research and innovation. Nanomagnetic computing and logic have allowed engineers and programmers to move beyond the Complementary Metal-Oxide-Semiconductor (CMOS) and their associated methods into a new world of cutting-edge computing technology. Nanoscale Computing offers the first-ever single-authored textbook on this vital subject, introducing the fundamentals of nanoscale computing, their suitability to the traditional limitations of CMOS computing, and their growing number of applications. The result is a key text for students, professionals, and researchers alike. Nanoscale Computing readers will also find: An emphasis on practical applications, both current and future Detailed discussion of topics including nanomagnetic logic, edge computing, and more End of chapter quizzes and additional tutorials to facilitate learning Nanoscale Computing is ideal for researchers and technology experts, as well as graduate and undergraduate students working in computer science, nanotechnology, magnetics, electronics, semiconductors, electron devices, circuits/systems, and multi-interdisciplinary related fields.

Computational Finite Element Methods In Nanotechnology

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Author : Sarhan M. Musa
language : en
Publisher: CRC Press
Release Date : 2017-12-19

Computational Finite Element Methods In Nanotechnology written by Sarhan M. Musa and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-12-19 with Science categories.

Computational Finite Element Methods in Nanotechnology demonstrates the capabilities of finite element methods in nanotechnology for a range of fields. Bringing together contributions from researchers around the world, it covers key concepts as well as cutting-edge research and applications to inspire new developments and future interdisciplinary research. In particular, it emphasizes the importance of finite element methods (FEMs) for computational tools in the development of efficient nanoscale systems. The book explores a variety of topics, including: A novel FE-based thermo-electrical-mechanical-coupled model to study mechanical stress, temperature, and electric fields in nano- and microelectronics The integration of distributed element, lumped element, and system-level methods for the design, modeling, and simulation of nano- and micro-electromechanical systems (N/MEMS) Challenges in the simulation of nanorobotic systems and macro-dimensions The simulation of structures and processes such as dislocations, growth of epitaxial films, and precipitation Modeling of self-positioning nanostructures, nanocomposites, and carbon nanotubes and their composites Progress in using FEM to analyze the electric field formed in needleless electrospinning How molecular dynamic (MD) simulations can be integrated into the FEM Applications of finite element analysis in nanomaterials and systems used in medicine, dentistry, biotechnology, and other areas The book includes numerous examples and case studies, as well as recent applications of microscale and nanoscale modeling systems with FEMs using COMSOL Multiphysics® and MATLAB®. A one-stop reference for professionals, researchers, and students, this is also an accessible introduction to computational FEMs in nanotechnology for those new to the field.

Robust Computing With Nano Scale Devices

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Author : Chao Huang
language : en
Publisher: Springer
Release Date : 2010-11-05

Robust Computing With Nano Scale Devices written by Chao Huang and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2010-11-05 with Technology & Engineering categories.

Computational Intelligence In Digital And Network Designs And Applications

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Author : Mourad Fakhfakh
language : en
Publisher: Springer
Release Date : 2015-07-14

Computational Intelligence In Digital And Network Designs And Applications written by Mourad Fakhfakh and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2015-07-14 with Computers categories.

This book explains the application of recent advances in computational intelligence – algorithms, design methodologies, and synthesis techniques – to the design of integrated circuits and systems. It highlights new biasing and sizing approaches and optimization techniques and their application to the design of high-performance digital, VLSI, radio-frequency, and mixed-signal circuits and systems. This second of two related volumes addresses digital and network designs and applications, with 12 chapters grouped into parts on digital circuit design, network optimization, and applications. It will be of interest to practitioners and researchers in computer science and electronics engineering engaged with the design of electronic circuits.

Circuit Design For Modern Applications

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Author : A. Andrew Roobert
language : en
Publisher: CRC Press
Release Date : 2025-02-05

Circuit Design For Modern Applications written by A. Andrew Roobert and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-02-05 with Technology & Engineering categories.

This book offers a clear exploration of cutting-edge semiconductor circuit technologies and their practical applications. It covers topics like advanced transistor design, low-power consumption techniques, and high-performance circuit design. Circuit Design for Modern Applications explores the recent innovations in semiconductor technology. Bandgap reference circuits, quad model transistors, voltagecontrolled oscillators, LDO regulators, power amplifiers, low noise amplifiers, operational amplifiers, low-power CNTFET-based quaternary multipliers, and STT MRAM-based cache memory for multicore systems are discussed. It points out the difficulties in designing CMOS analog and RF circuits for mmWave applications and looks into newly developed field-effect transistors for an alternate solution. Innovative devices such as III-V material-based HEMTs, and junctionless FETs are discussed. The book also looks at creative ways to improve circuit performance and energy efficiency, which is a useful resource for academics, researchers, and industry experts working in semiconductors. This book will help the readers to stay on the cutting edge of contemporary circuit design technologies, covering various topics from fundamental circuit design to high-performance circuits.

Energy Efficient And Reliable Embedded Nanoscale Sram Design

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Author : Bhupendra Singh Reniwal
language : en
Publisher: CRC Press
Release Date : 2023-11-29

Energy Efficient And Reliable Embedded Nanoscale Sram Design written by Bhupendra Singh Reniwal and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-11-29 with Technology & Engineering categories.

This reference text covers a wide spectrum for designing robust embedded memory and peripheral circuitry. It will serve as a useful text for senior undergraduate and graduate students and professionals in areas including electronics and communications engineering, electrical engineering, mechanical engineering, and aerospace engineering. Discusses low-power design methodologies for static random-access memory (SRAM) Covers radiation-hardened SRAM design for aerospace applications Focuses on various reliability issues that are faced by submicron technologies Exhibits more stable memory topologies Nanoscale technologies unveiled significant challenges to the design of energy- efficient and reliable SRAMs. This reference text investigates the impact of process variation, leakage, aging, soft errors and related reliability issues in embedded memory and periphery circuitry. The text adopts a unique way to explain the SRAM bitcell, array design, and analysis of its design parameters to meet the sub-nano-regime challenges for complementary metal-oxide semiconductor devices. It comprehensively covers low- power-design methodologies for SRAM, exhibits more stable memory topologies, and radiation-hardened SRAM design for aerospace applications. Every chapter includes a glossary, highlights, a question bank, and problems. The text will serve as a useful text for senior undergraduate students, graduate students, and professionals in areas including electronics and communications engineering, electrical engineering, mechanical engineering, and aerospace engineering. Discussing comprehensive studies of variability-induced failure mechanism in sense amplifiers and power, delay, and read yield trade-offs, this reference text will serve as a useful text for senior undergraduate, graduate students, and professionals in areas including electronics and communications engineering, electrical engineering, mechanical engineering, and aerospace engineering. It covers the development of robust SRAMs, well suited for low-power multi-core processors for wireless sensors node, battery-operated portable devices, personal health care assistants, and smart Internet of Things applications.

Unconventional Computation And Natural Computation

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Author : Oscar H. Ibarra
language : en
Publisher: Springer
Release Date : 2014-07-08

Unconventional Computation And Natural Computation written by Oscar H. Ibarra and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014-07-08 with Computers categories.

This book constitutes the refereed proceedings of the 13th International Conference on Unconventional Computation and Natural Computation, UCNC 2014, held in London, ON, Canada, in July 2014. The 31 revised full papers were carefully reviewed and selected from 79 submissions. The papers cover a wide range of topics including among others molecular, quantum, optical and chaos computing as well as neural computation, evolutionary computation, swarm intelligence and computational neuroscience.

Learning In Energy Efficient Neuromorphic Computing Algorithm And Architecture Co Design

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Author : Nan Zheng
language : en
Publisher: John Wiley & Sons
Release Date : 2019-12-31

Learning In Energy Efficient Neuromorphic Computing Algorithm And Architecture Co Design written by Nan Zheng and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-12-31 with Computers categories.

Explains 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 from high-level algorithm to low-level implementation details, Learning in Energy-Efficient Neuromorphic Computing: Algorithm and Architecture Co-Design also covers many fundamentals and essentials in neural networks (e.g., deep learning), as well as hardware implementation of neural networks. The book begins with an overview of neural networks. It then discusses algorithms for utilizing and training rate-based artificial neural networks. Next comes an introduction to various options for executing neural networks, ranging from general-purpose processors to specialized hardware, from digital accelerator to analog accelerator. A design example on building energy-efficient accelerator for adaptive dynamic programming with neural networks is also presented. An examination of fundamental concepts and popular learning algorithms for spiking neural networks follows that, along with a look at the hardware for spiking neural networks. Then comes a chapter offering readers three design examples (two of which are based on conventional CMOS, and one on emerging nanotechnology) to implement the learning algorithm found in the previous chapter. The book concludes with an outlook on the future of neural network hardware. Includes cross-layer survey of hardware accelerators for neuromorphic algorithms Covers the co-design of architecture and algorithms with emerging devices for much-improved computing efficiency Focuses on the co-design of algorithms and hardware, which is especially critical for using emerging devices, such as traditional memristors or diffusive memristors, for neuromorphic computing Learning in Energy-Efficient Neuromorphic Computing: Algorithm and Architecture Co-Design is an ideal resource for researchers, scientists, software engineers, and hardware engineers dealing with the ever-increasing requirement on power consumption and response time. It is also excellent for teaching and training undergraduate and graduate students about the latest generation neural networks with powerful learning capabilities.

Robust Computing With Nano Scale Devices

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