2017 Ieee Computer Society Annual Symposium On Vlsi

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VLSI Circuits and Embedded Systems

Author : Hafiz Md. Hasan Babu
Publisher : CRC Press
ISBN 13 : 1000617793
Total Pages : 558 pages
Book Rating : 4.0/5 (6 download)

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Book Synopsis VLSI Circuits and Embedded Systems by : Hafiz Md. Hasan Babu

Download or read book VLSI Circuits and Embedded Systems written by Hafiz Md. Hasan Babu and published by CRC Press. This book was released on 2022-07-29 with total page 558 pages. Available in PDF, EPUB and Kindle. Book excerpt: Very Large-Scale Integration (VLSI) creates an integrated circuit (IC) by combining thousands of transistors into a single chip. While designing a circuit, reduction of power consumption is a great challenge. VLSI designs reduce the size of circuits which eventually reduces the power consumption of the devices. However, it increases the complexity of the digital system. Therefore, computer-aided design tools are introduced into hardware design processes. Unlike the general-purpose computer, an embedded system is engineered to manage a wide range of processing tasks. Single or multiple processing cores manage embedded systems in the form of microcontrollers, digital signal processors, field-programmable gate arrays, and application-specific integrated circuits. Security threats have become a significant issue since most embedded systems lack security even more than personal computers. Many embedded systems hacking tools are readily available on the internet. Hacking in the PDAs and modems is a pervasive example of embedded systems hacking. This book explores the designs of VLSI circuits and embedded systems. These two vast topics are divided into four parts. In the book's first part, the Decision Diagrams (DD) have been covered. DDs have extensively used Computer-Aided Design (CAD) software to synthesize circuits and formal verification. The book's second part mainly covers the design architectures of Multiple-Valued Logic (MVL) Circuits. MVL circuits offer several potential opportunities to improve present VLSI circuit designs. The book's third part deals with Programmable Logic Devices (PLD). PLDs can be programmed to incorporate a complex logic function within a single IC for VLSI circuits and Embedded Systems. The fourth part of the book concentrates on the design architectures of Complex Digital Circuits of Embedded Systems. As a whole, from this book, core researchers, academicians, and students will get the complete picture of VLSI Circuits and Embedded Systems and their applications.

Mitigating Process Variability and Soft Errors at Circuit-Level for FinFETs

Author : Alexandra Zimpeck
Publisher : Springer Nature
ISBN 13 : 3030683680
Total Pages : 131 pages
Book Rating : 4.0/5 (36 download)

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Book Synopsis Mitigating Process Variability and Soft Errors at Circuit-Level for FinFETs by : Alexandra Zimpeck

Download or read book Mitigating Process Variability and Soft Errors at Circuit-Level for FinFETs written by Alexandra Zimpeck and published by Springer Nature. This book was released on 2021-03-10 with total page 131 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book evaluates the influence of process variations (e.g. work-function fluctuations) and radiation-induced soft errors in a set of logic cells using FinFET technology, considering the 7nm technological node as a case study. Moreover, for accurate soft error estimation, the authors adopt a radiation event generator tool (MUSCA SEP3), which deals both with layout features and electrical properties of devices. The authors also explore four circuit-level techniques (e.g. transistor reordering, decoupling cells, Schmitt Trigger, and sleep transistor) as alternatives to attenuate the unwanted effects on FinFET logic cells. This book also evaluates the mitigation tendency when different levels of process variation, transistor sizing, and radiation particle characteristics are applied in the design. An overall comparison of all methods addressed by this work is provided allowing to trace a trade-off between the reliability gains and the design penalties of each approach regarding the area, performance, power consumption, single event transient (SET) pulse width, and SET cross-section.

Fabless Semiconductor Manufacturing

Author : Chinmay K. Maiti
Publisher : CRC Press
ISBN 13 : 1000638057
Total Pages : 340 pages
Book Rating : 4.0/5 (6 download)

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Book Synopsis Fabless Semiconductor Manufacturing by : Chinmay K. Maiti

Download or read book Fabless Semiconductor Manufacturing written by Chinmay K. Maiti and published by CRC Press. This book was released on 2022-11-17 with total page 340 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book deals with 3D nanodevices such as nanowire and nanosheet transistors at 7 nm and smaller technology nodes. It discusses technology computer-aided design (TCAD) simulations of stress- and strain-engineered advanced semiconductor devices, including III-nitride and RF FDSOI CMOS, for flexible and stretchable electronics. The book focuses on how to set up 3D TCAD simulation tools, from mask layout to process and device simulation, including fabless intelligent manufacturing. The simulation examples chosen are from the most popular devices in use today and provide useful technology and device physics insights. In order to extend the role of TCAD in the More-than-Moore era, the design issues related to strain engineering for flexible and stretchable electronics have been introduced for the first time.

Network-on-Chip Security and Privacy

Author : Prabhat Mishra
Publisher : Springer Nature
ISBN 13 : 3030691314
Total Pages : 496 pages
Book Rating : 4.0/5 (36 download)

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Book Synopsis Network-on-Chip Security and Privacy by : Prabhat Mishra

Download or read book Network-on-Chip Security and Privacy written by Prabhat Mishra and published by Springer Nature. This book was released on 2021-06-04 with total page 496 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book provides comprehensive coverage of Network-on-Chip (NoC) security vulnerabilities and state-of-the-art countermeasures, with contributions from System-on-Chip (SoC) designers, academic researchers and hardware security experts. Readers will gain a clear understanding of the existing security solutions for on-chip communication architectures and how they can be utilized effectively to design secure and trustworthy systems.

Neuromorphic Computing

Author :
Publisher : BoD – Books on Demand
ISBN 13 : 1803561432
Total Pages : 298 pages
Book Rating : 4.8/5 (35 download)

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Book Synopsis Neuromorphic Computing by :

Download or read book Neuromorphic Computing written by and published by BoD – Books on Demand. This book was released on 2023-11-15 with total page 298 pages. Available in PDF, EPUB and Kindle. Book excerpt: Dive into the cutting-edge world of Neuromorphic Computing, a groundbreaking volume that unravels the secrets of brain-inspired computational paradigms. Spanning neuroscience, artificial intelligence, and hardware design, this book presents a comprehensive exploration of neuromorphic systems, empowering both experts and newcomers to embrace the limitless potential of brain-inspired computing. Discover the fundamental principles that underpin neural computation as we journey through the origins of neuromorphic architectures, meticulously crafted to mimic the brain’s intricate neural networks. Unlock the true essence of learning mechanisms – unsupervised, supervised, and reinforcement learning – and witness how these innovations are shaping the future of artificial intelligence.

Advances in Computational Intelligence

Author : Ignacio Rojas
Publisher : Springer
ISBN 13 : 3030205185
Total Pages : 938 pages
Book Rating : 4.0/5 (32 download)

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Book Synopsis Advances in Computational Intelligence by : Ignacio Rojas

Download or read book Advances in Computational Intelligence written by Ignacio Rojas and published by Springer. This book was released on 2019-06-05 with total page 938 pages. Available in PDF, EPUB and Kindle. Book excerpt: This two-volume set LNCS 10305 and LNCS 10306 constitutes the refereed proceedings of the 15th International Work-Conference on Artificial Neural Networks, IWANN 2019, held at Gran Canaria, Spain, in June 2019. The 150 revised full papers presented in this two-volume set were carefully reviewed and selected from 210 submissions. The papers are organized in topical sections on machine learning in weather observation and forecasting; computational intelligence methods for time series; human activity recognition; new and future tendencies in brain-computer interface systems; random-weights neural networks; pattern recognition; deep learning and natural language processing; software testing and intelligent systems; data-driven intelligent transportation systems; deep learning models in healthcare and biomedicine; deep learning beyond convolution; artificial neural network for biomedical image processing; machine learning in vision and robotics; system identification, process control, and manufacturing; image and signal processing; soft computing; mathematics for neural networks; internet modeling, communication and networking; expert systems; evolutionary and genetic algorithms; advances in computational intelligence; computational biology and bioinformatics.

Post-Silicon Validation and Debug

Author : Prabhat Mishra
Publisher : Springer
ISBN 13 : 3319981161
Total Pages : 393 pages
Book Rating : 4.3/5 (199 download)

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Book Synopsis Post-Silicon Validation and Debug by : Prabhat Mishra

Download or read book Post-Silicon Validation and Debug written by Prabhat Mishra and published by Springer. This book was released on 2018-09-01 with total page 393 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book provides a comprehensive coverage of System-on-Chip (SoC) post-silicon validation and debug challenges and state-of-the-art solutions with contributions from SoC designers, academic researchers as well as SoC verification experts. The readers will get a clear understanding of the existing debug infrastructure and how they can be effectively utilized to verify and debug SoCs.

Multimedia Technologies in the Internet of Things Environment, Volume 3

Author : Raghvendra Kumar
Publisher : Springer Nature
ISBN 13 : 9811909245
Total Pages : 237 pages
Book Rating : 4.8/5 (119 download)

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Book Synopsis Multimedia Technologies in the Internet of Things Environment, Volume 3 by : Raghvendra Kumar

Download or read book Multimedia Technologies in the Internet of Things Environment, Volume 3 written by Raghvendra Kumar and published by Springer Nature. This book was released on 2022-04-04 with total page 237 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book proposes a comprehensive overview of the state-of-the-art research work on multimedia analysis in IoT applications. This is a third volume by editors which provides theoretical and practical approach in the area of multimedia and IOT applications and performance analysis. Further, multimedia communication, deep learning models to multimedia data, and the new (IOT) approaches are also covered. It addresses the complete functional framework in the area of multimedia data, IoT, and smart computing techniques. It bridges the gap between multimedia concepts and solutions by providing the current IOT frameworks, their applications in multimedia analysis, the strengths and limitations of the existing methods, and the future directions in multimedia IOT analytics.

Security of FPGA-Accelerated Cloud Computing Environments

Author : Jakub Szefer
Publisher : Springer Nature
ISBN 13 : 3031453956
Total Pages : 329 pages
Book Rating : 4.0/5 (314 download)

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Book Synopsis Security of FPGA-Accelerated Cloud Computing Environments by : Jakub Szefer

Download or read book Security of FPGA-Accelerated Cloud Computing Environments written by Jakub Szefer and published by Springer Nature. This book was released on 2024-01-29 with total page 329 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book addresses security of FPGA-accelerated cloud computing environments. It presents a comprehensive review of the state-of-the-art in security threats as well as defenses. The book further presents design principles to help in the evaluation and designs of cloud-based FPGA deployments which are secure from information leaks and potential attacks.

Embedded Machine Learning for Cyber-Physical, IoT, and Edge Computing

Author : Sudeep Pasricha
Publisher : Springer Nature
ISBN 13 : 303119568X
Total Pages : 418 pages
Book Rating : 4.0/5 (311 download)

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Book Synopsis Embedded Machine Learning for Cyber-Physical, IoT, and Edge Computing by : Sudeep Pasricha

Download or read book Embedded Machine Learning for Cyber-Physical, IoT, and Edge Computing written by Sudeep Pasricha and published by Springer Nature. This book was released on 2023-11-01 with total page 418 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents recent advances towards the goal of enabling efficient implementation of machine learning models on resource-constrained systems, covering different application domains. The focus is on presenting interesting and new use cases of applying machine learning to innovative application domains, exploring the efficient hardware design of efficient machine learning accelerators, memory optimization techniques, illustrating model compression and neural architecture search techniques for energy-efficient and fast execution on resource-constrained hardware platforms, and understanding hardware-software codesign techniques for achieving even greater energy, reliability, and performance benefits.

VLSI and Hardware Implementations using Modern Machine Learning Methods

Author : Sandeep Saini
Publisher : CRC Press
ISBN 13 : 1000523810
Total Pages : 329 pages
Book Rating : 4.0/5 (5 download)

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Book Synopsis VLSI and Hardware Implementations using Modern Machine Learning Methods by : Sandeep Saini

Download or read book VLSI and Hardware Implementations using Modern Machine Learning Methods written by Sandeep Saini and published by CRC Press. This book was released on 2021-12-30 with total page 329 pages. Available in PDF, EPUB and Kindle. Book excerpt: Machine learning is a potential solution to resolve bottleneck issues in VLSI via optimizing tasks in the design process. This book aims to provide the latest machine-learning–based methods, algorithms, architectures, and frameworks designed for VLSI design. The focus is on digital, analog, and mixed-signal design techniques, device modeling, physical design, hardware implementation, testability, reconfigurable design, synthesis and verification, and related areas. Chapters include case studies as well as novel research ideas in the given field. Overall, the book provides practical implementations of VLSI design, IC design, and hardware realization using machine learning techniques. Features: Provides the details of state-of-the-art machine learning methods used in VLSI design Discusses hardware implementation and device modeling pertaining to machine learning algorithms Explores machine learning for various VLSI architectures and reconfigurable computing Illustrates the latest techniques for device size and feature optimization Highlights the latest case studies and reviews of the methods used for hardware implementation This book is aimed at researchers, professionals, and graduate students in VLSI, machine learning, electrical and electronic engineering, computer engineering, and hardware systems.

Frontiers of Quality Electronic Design (QED)

Author : Ali Iranmanesh
Publisher : Springer Nature
ISBN 13 : 3031163443
Total Pages : 690 pages
Book Rating : 4.0/5 (311 download)

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Book Synopsis Frontiers of Quality Electronic Design (QED) by : Ali Iranmanesh

Download or read book Frontiers of Quality Electronic Design (QED) written by Ali Iranmanesh and published by Springer Nature. This book was released on 2023-01-11 with total page 690 pages. Available in PDF, EPUB and Kindle. Book excerpt: Quality Electronic Design (QED)’s landscape spans a vast region where territories of many participating disciplines and technologies overlap. This book explores the latest trends in several key topics related to quality electronic design, with emphasis on Hardware Security, Cybersecurity, Machine Learning, and application of Artificial Intelligence (AI). The book includes topics in nonvolatile memories (NVM), Internet of Things (IoT), FPGA, and Neural Networks.

Machine Learning in VLSI Computer-Aided Design

Author : Ibrahim (Abe) M. Elfadel
Publisher : Springer
ISBN 13 : 3030046664
Total Pages : 697 pages
Book Rating : 4.0/5 (3 download)

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Book Synopsis Machine Learning in VLSI Computer-Aided Design by : Ibrahim (Abe) M. Elfadel

Download or read book Machine Learning in VLSI Computer-Aided Design written by Ibrahim (Abe) M. Elfadel and published by Springer. This book was released on 2019-03-15 with total page 697 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book provides readers with an up-to-date account of the use of machine learning frameworks, methodologies, algorithms and techniques in the context of computer-aided design (CAD) for very-large-scale integrated circuits (VLSI). Coverage includes the various machine learning methods used in lithography, physical design, yield prediction, post-silicon performance analysis, reliability and failure analysis, power and thermal analysis, analog design, logic synthesis, verification, and neuromorphic design. Provides up-to-date information on machine learning in VLSI CAD for device modeling, layout verifications, yield prediction, post-silicon validation, and reliability; Discusses the use of machine learning techniques in the context of analog and digital synthesis; Demonstrates how to formulate VLSI CAD objectives as machine learning problems and provides a comprehensive treatment of their efficient solutions; Discusses the tradeoff between the cost of collecting data and prediction accuracy and provides a methodology for using prior data to reduce cost of data collection in the design, testing and validation of both analog and digital VLSI designs. From the Foreword As the semiconductor industry embraces the rising swell of cognitive systems and edge intelligence, this book could serve as a harbinger and example of the osmosis that will exist between our cognitive structures and methods, on the one hand, and the hardware architectures and technologies that will support them, on the other....As we transition from the computing era to the cognitive one, it behooves us to remember the success story of VLSI CAD and to earnestly seek the help of the invisible hand so that our future cognitive systems are used to design more powerful cognitive systems. This book is very much aligned with this on-going transition from computing to cognition, and it is with deep pleasure that I recommend it to all those who are actively engaged in this exciting transformation. Dr. Ruchir Puri, IBM Fellow, IBM Watson CTO & Chief Architect, IBM T. J. Watson Research Center

Approximate Computing

Author : Weiqiang Liu
Publisher : Springer Nature
ISBN 13 : 3030983471
Total Pages : 607 pages
Book Rating : 4.0/5 (39 download)

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Book Synopsis Approximate Computing by : Weiqiang Liu

Download or read book Approximate Computing written by Weiqiang Liu and published by Springer Nature. This book was released on 2022-08-22 with total page 607 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book explores the technological developments at various levels of abstraction, of the new paradigm of approximate computing. The authors describe in a single-source the state-of-the-art, covering the entire spectrum of research activities in approximate computing, bridging device, circuit, architecture, and system levels. Content includes tutorials, reviews and surveys of current theoretical/experimental results, design methodologies and applications developed in approximate computing for a wide scope of readership and specialists. Serves as a single-source reference to state-of-the-art of approximate computing; Covers broad range of topics, from circuits to applications; Includes contributions by leading researchers, from academia and industry.

Application of Machine Learning and Deep Learning Methods to Power System Problems

Author : Morteza Nazari-Heris
Publisher : Springer Nature
ISBN 13 : 3030776964
Total Pages : 391 pages
Book Rating : 4.0/5 (37 download)

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Book Synopsis Application of Machine Learning and Deep Learning Methods to Power System Problems by : Morteza Nazari-Heris

Download or read book Application of Machine Learning and Deep Learning Methods to Power System Problems written by Morteza Nazari-Heris and published by Springer Nature. This book was released on 2021-11-21 with total page 391 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book evaluates the role of innovative machine learning and deep learning methods in dealing with power system issues, concentrating on recent developments and advances that improve planning, operation, and control of power systems. Cutting-edge case studies from around the world consider prediction, classification, clustering, and fault/event detection in power systems, providing effective and promising solutions for many novel challenges faced by power system operators. Written by leading experts, the book will be an ideal resource for researchers and engineers working in the electrical power engineering and power system planning communities, as well as students in advanced graduate-level courses.

Advances in Artificial Intelligence and Applied Cognitive Computing

Author : Hamid R. Arabnia
Publisher : Springer Nature
ISBN 13 : 3030702960
Total Pages : 1152 pages
Book Rating : 4.0/5 (37 download)

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Book Synopsis Advances in Artificial Intelligence and Applied Cognitive Computing by : Hamid R. Arabnia

Download or read book Advances in Artificial Intelligence and Applied Cognitive Computing written by Hamid R. Arabnia and published by Springer Nature. This book was released on 2021-10-14 with total page 1152 pages. Available in PDF, EPUB and Kindle. Book excerpt: The book presents the proceedings of two conferences: The 22nd International Conference on Artificial Intelligence (ICAI’20) and The 4th International Conference on Applied Cognitive Computing (ACC’20). The conferences took place in Las Vegas, NV, USA, July 27-30, 2020, and are part of the larger 2020 World Congress in Computer Science, Computer Engineering, & Applied Computing (CSCE'20), which features 20 major tracks. Topics include: deep learning; neural networks; brain models; cognitive science; natural language processing; fuzzy logic and soft computing (ICAI) and novel computationally intelligent algorithms; bio inspired cognitive algorithms; modeling human brain processing systems (ACC); and more. Authors include academics, researchers, and professionals. Presents the proceedings of two conferences as part of the 2020 World Congress in Computer Science, Computer Engineering, & Applied Computing (CSCE'20); Includes the tracks: artificial intelligence and applied cognitive computing; Features papers from the 22nd International Conference on AI (ICAI’20) and the 4th International Conference on Applied Cognitive Computing (ACC’20).

Information Security Applications

Author : Ilsun You
Publisher : Springer Nature
ISBN 13 : 3030652998
Total Pages : 420 pages
Book Rating : 4.0/5 (36 download)

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Book Synopsis Information Security Applications by : Ilsun You

Download or read book Information Security Applications written by Ilsun You and published by Springer Nature. This book was released on 2020-12-08 with total page 420 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the thoroughly refereed proceedings of the 21st International Conference on Information Security Applications, WISA 2020, held in Jeju Island, South Korea, in August 2020. The 30 full research papers included in this book were carefully reviewed and selected from 89 submissions. They are organized in the following topical sections: AI Security and Intrusion Detection; Steganography and Malware; Application, System, and Hardware Security; Cryptography; Advances in Network Security and Attack Defense; and Cyber Security.