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Author : Erika Ábrahám
Publisher : Springer Nature
ISBN 13 : 3031742346
Total Pages : 312 pages
Book Rating : 4.0/5 (317 download)
Download or read book Runtime Verification written by Erika Ábrahám and published by Springer Nature. This book was released on with total page 312 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author : Debasis Giri
Publisher : Springer Nature
ISBN 13 : 9819720699
Total Pages : 270 pages
Book Rating : 4.8/5 (197 download)
Download or read book Proceedings of the Tenth International Conference on Mathematics and Computing written by Debasis Giri and published by Springer Nature. This book was released on with total page 270 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author : Shubham Rai
Publisher : Springer Nature
ISBN 13 : 3031379241
Total Pages : 230 pages
Book Rating : 4.0/5 (313 download)
Download or read book Design Automation and Applications for Emerging Reconfigurable Nanotechnologies written by Shubham Rai and published by Springer Nature. This book was released on 2023-09-11 with total page 230 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book is a single-source solution for anyone who is interested in exploring emerging reconfigurable nanotechnology at the circuit level. It lays down a solid foundation for circuits based on this technology having considered both manual as well as automated design flows. The authors discuss the entire design flow, consisting of both logic and physical synthesis for reconfigurable nanotechnology-based circuits. The authors describe how transistor reconfigurable properties can be exploited at the logic level to have a more efficient circuit design flow, as compared to conventional design flows suited for CMOS. Further, the book provides insights into hardware security features that can be intrinsically developed using the runtime reconfigurable features of this nanotechnology.
Author : Chandrakant D. Patel
Publisher : Elsevier
ISBN 13 : 0443138133
Total Pages : 508 pages
Book Rating : 4.4/5 (431 download)
Download or read book Digital Manufacturing written by Chandrakant D. Patel and published by Elsevier. This book was released on 2023-12-01 with total page 508 pages. Available in PDF, EPUB and Kindle. Book excerpt: Digital Manufacturing: Key Elements of a Digital Factory explains the different devices and agents at the factory floor level that are driving the digital manufacturing revolution, including autonomous robots, process automation, artificial intelligence and cyber-physical systems. Individual chapters explore the fundamentals and benefits of major digital manufacturing tools including robotics, the industrial internet of things, digital twins, edge security, knowledge discovery, service-centric production, and related supply-chain strategies. Real-world case studies from industry are provided throughout to show how these work in practice. In addition to learning about individual technologies, readers will discover how they are integrating to drive the digital transformation of manufacturing ecosystem. Final sections present new business models working towards sustainable net zero operations and economy. - Helps produce the "T-shaped" engineers needed in today's digital manufacturing age by providing carefully selected foundational information from a range of disciplines - Includes important coverage of cybersecurity models and analysis - Draws on industry best practice to explain how to implement cutting-edge technologies successfully
Author : Matheus Cavalcante
Publisher : BoD – Books on Demand
ISBN 13 : 3866288018
Total Pages : 224 pages
Book Rating : 4.8/5 (662 download)
Download or read book Fighting Back the Von Neumann Bottleneck with Small- and Large-Scale Vector Microprocessors written by Matheus Cavalcante and published by BoD – Books on Demand. This book was released on 2023-08-24 with total page 224 pages. Available in PDF, EPUB and Kindle. Book excerpt: In his seminal Turing Award Lecture, Backus discussed the issues stemming from the word-at-a-time style of programming inherited from the von Neumann computer. More than forty years later, computer architects must be creative to amortize the von Neumann Bottleneck (VNB) associated with fetching and decoding instructions which only keep the datapath busy for a very short period of time. In particular, vector processors promise to be one of the most efficient architectures to tackle the VNB, by amortizing the energy overhead of instruction fetching and decoding over several chunks of data. This work explores vector processing as an option to build small and efficient processing elements for large-scale clusters of cores sharing access to tightly-coupled L1 memory
Author : Vinit Kumar Gunjan
Publisher : Springer Nature
ISBN 13 : 3031430093
Total Pages : 337 pages
Book Rating : 4.0/5 (314 download)
Download or read book Modern Approaches in Machine Learning and Cognitive Science: A Walkthrough written by Vinit Kumar Gunjan and published by Springer Nature. This book was released on 2024-01-13 with total page 337 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book provides a systematic and comprehensive overview of cognitive intelligence and AI-enabled IoT ecosystem and machine learning, capable of recognizing the object pattern in complex and large data sets. A remarkable success has been experienced in the last decade by emulating the brain–computer interface. It presents the applied cognitive science methods and AI-enabled technologies that have played a vital role at the core of practical solutions for a wide scope of tasks between handheld apps and industrial process control, autonomous vehicles, IoT, intelligent learning environment, game theory, human computer interaction, environmental policies, life sciences, playing computer games, computational theory, and engineering development. The book contains contents highlighting artificial neural networks that are analogous to the networks of neurons that comprise the brain and have given computers the ability to distinguish an image of a cat from one of a coconut, to spot pedestrians with enough accuracy to direct a self-driving car, and to recognize and respond to the spoken word. The chapters in this book focus on audiences interested in artificial intelligence, machine learning, fuzzy, cognitive and neurofuzzy-inspired computational systems, their theories, mechanisms, and architecture, which underline human and animal behavior, and their application to conscious and intelligent systems. In the current version, it focuses on the successful implementation and step-by-step execution and explanation of practical applications of the domain. It also offers a wide range of inspiring and interesting cutting-edge contributions on applications of machine learning, artificial intelligence, and cognitive science such as healthcare products, AI-enabled IoT, gaming, medical, and engineering. Overall, this book provides valuable information on effective, cutting-edge techniques, and approaches for students, researchers, practitioners, and academics in the field of machine learning and cognitive science. Furthermore, the purpose of this book is to address the interests of a broad spectrum of practitioners, students, and researchers, who are interested in applying machine learning and cognitive science methods in their respective domains.
Author : Pascal Pieper
Publisher : Springer Nature
ISBN 13 : 3031516923
Total Pages : 190 pages
Book Rating : 4.0/5 (315 download)
Download or read book Formal and Practical Techniques for the Complex System Design Process using Virtual Prototypes written by Pascal Pieper and published by Springer Nature. This book was released on with total page 190 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author : Prabhat Mishra
Publisher : Springer Nature
ISBN 13 : 3030691314
Total Pages : 496 pages
Book Rating : 4.0/5 (36 download)
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.
Author : Xin-She Yang
Publisher : Springer Nature
ISBN 13 : 981993236X
Total Pages : 1119 pages
Book Rating : 4.8/5 (199 download)
Download or read book Proceedings of Eighth International Congress on Information and Communication Technology written by Xin-She Yang and published by Springer Nature. This book was released on 2023-09-14 with total page 1119 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book gathers selected high-quality research papers presented at the Eighth International Congress on Information and Communication Technology, held at Brunel University, London, on 20–23 February 2023. It discusses emerging topics pertaining to information and communication technology (ICT) for managerial applications, e-governance, e-agriculture, e-education and computing technologies, the Internet of Things (IoT) and e-mining. Written by respected experts and researchers working on ICT, the book offers a valuable asset for young researchers involved in advanced studies. The work is presented in four volumes.
Author : Vazgen Melikyan
Publisher : Springer Nature
ISBN 13 : 3031507142
Total Pages : 351 pages
Book Rating : 4.0/5 (315 download)
Download or read book Machine Learning-based Design and Optimization of High-Speed Circuits written by Vazgen Melikyan and published by Springer Nature. This book was released on 2024-01-31 with total page 351 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book describes machine learning-based new principles, methods of design and optimization of high-speed integrated circuits, included in one electronic system, which can exchange information between each other up to 128/256/512 Gbps speed. The efficiency of methods has been proven and is described on the examples of practical designs. This will enable readers to use them in similar electronic system designs. The author demonstrates newly developed principles and methods to accelerate communication between ICs, working in non-standard operating conditions, considering signal deviation compensation with linearity self-calibration. The observed circuit types also include but are not limited to mixed-signal, high performance heterogeneous integrated circuits as well as digital cores.
Author : Andreas Dominic Kurth
Publisher : BoD – Books on Demand
ISBN 13 : 3866287747
Total Pages : 282 pages
Book Rating : 4.8/5 (662 download)
Download or read book An Open-Source Research Platform for Heterogeneous Systems on Chip written by Andreas Dominic Kurth and published by BoD – Books on Demand. This book was released on 2022-10-05 with total page 282 pages. Available in PDF, EPUB and Kindle. Book excerpt: Heterogeneous systems on chip (HeSoCs) combine general-purpose, feature-rich multi-core host processors with domain-specific programmable many-core accelerators (PMCAs) to unite versatility with energy efficiency and peak performance. By virtue of their heterogeneity, HeSoCs hold the promise of increasing performance and energy efficiency compared to homogeneous multiprocessors, because applications can be executed on hardware that is designed for them. However, this heterogeneity also increases system complexity substantially. This thesis presents the first research platform for HeSoCs where all components, from accelerator cores to application programming interface, are available under permissive open-source licenses. We begin by identifying the hardware and software components that are required in HeSoCs and by designing a representative hardware and software architecture. We then design, implement, and evaluate four critical HeSoC components that have not been discussed in research at the level required for an open-source implementation: First, we present a modular, topology-agnostic, high-performance on-chip communication platform, which adheres to a state-of-the-art industry-standard protocol. We show that the platform can be used to build high-bandwidth (e.g., 2.5 GHz and 1024 bit data width) end-to-end communication fabrics with high degrees of concurrency (e.g., up to 256 independent concurrent transactions). Second, we present a modular and efficient solution for implementing atomic memory operations in highly-scalable many-core processors, which demonstrates near-optimal linear throughput scaling for various synthetic and real-world workloads and requires only 0.5 kGE per core. Third, we present a hardware-software solution for shared virtual memory that avoids the majority of translation lookaside buffer misses with prefetching, supports parallel burst transfers without additional buffers, and can be scaled with the workload and number of parallel processors. Our work improves accelerator performance for memory-intensive kernels by up to 4×. Fourth, we present a software toolchain for mixed-data-model heterogeneous compilation and OpenMP offloading. Our work enables transparent memory sharing between a 64-bit host processor and a 32-bit accelerator at overheads below 0.7 % compared to 32-bit-only execution. Finally, we combine our contributions to a research platform for state-of-the-art HeSoCs and demonstrate its performance and flexibility.
Author : Haoxing Ren
Publisher : Springer Nature
ISBN 13 : 303113074X
Total Pages : 585 pages
Book Rating : 4.0/5 (311 download)
Download or read book Machine Learning Applications in Electronic Design Automation written by Haoxing Ren and published by Springer Nature. This book was released on 2023-01-01 with total page 585 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book serves as a single-source reference to key machine learning (ML) applications and methods in digital and analog design and verification. Experts from academia and industry cover a wide range of the latest research on ML applications in electronic design automation (EDA), including analysis and optimization of digital design, analysis and optimization of analog design, as well as functional verification, FPGA and system level designs, design for manufacturing (DFM), and design space exploration. The authors also cover key ML methods such as classical ML, deep learning models such as convolutional neural networks (CNNs), graph neural networks (GNNs), generative adversarial networks (GANs) and optimization methods such as reinforcement learning (RL) and Bayesian optimization (BO). All of these topics are valuable to chip designers and EDA developers and researchers working in digital and analog designs and verification.
Author : Mark Tehranipoor
Publisher : Springer Nature
ISBN 13 : 3031586875
Total Pages : 538 pages
Book Rating : 4.0/5 (315 download)
Download or read book Hardware Security written by Mark Tehranipoor and published by Springer Nature. This book was released on with total page 538 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author : Manning Wang
Publisher : Frontiers Media SA
ISBN 13 : 2832549861
Total Pages : 169 pages
Book Rating : 4.8/5 (325 download)
Download or read book Advanced Methods and Applications for Neurointelligence written by Manning Wang and published by Frontiers Media SA. This book was released on 2024-05-31 with total page 169 pages. Available in PDF, EPUB and Kindle. Book excerpt: Neurointelligence techniques play a key role in building general artificial intelligence systems. Some researchers and engineers have tried to design novel bio-inspired algorithms and hardware by mimicking the working principles of biological nervous systems. Benefiting from the progress in representational learning, neuroscience, and computational hardware, bio-inspired research has greatly contributed to the development of neurointelligence. Currently, advanced bio-inspired methods have been widely applied in robotics, visual scene understanding, medical image analysis, human-machine interaction and so on. Moreover, neurointelligence covers interdisciplinary topics with neuroscience, robotics, artificial intelligence, cognitive science, machine learning, and pattern recognition. This research topic is intended to provide a better understanding of the opportunities, challenges, and promising future directions for neurointelligence.
Author : Sudeep Pasricha
Publisher : Springer Nature
ISBN 13 : 303140677X
Total Pages : 571 pages
Book Rating : 4.0/5 (314 download)
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 2023-11-07 with total page 571 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. Discusses efficient implementation of machine learning in embedded, CPS, IoT, and edge computing; Offers comprehensive coverage of hardware design, software design, and hardware/software co-design and co-optimization; Describes real applications to demonstrate how embedded, CPS, IoT, and edge applications benefit from machine learning.
Author : Zhihan Lyu
Publisher : CRC Press
ISBN 13 : 1003850804
Total Pages : 923 pages
Book Rating : 4.0/5 (38 download)
Download or read book Handbook of Digital Twins written by Zhihan Lyu and published by CRC Press. This book was released on 2024-05-29 with total page 923 pages. Available in PDF, EPUB and Kindle. Book excerpt: Over the last two decades, Digital Twins (DTs) have become the intelligent representation of future development in industrial production and daily life. Consisting of over 50 chapters by more than 100 contributors, this comprehensive handbook explains the concept, architecture, design specification and application scenarios of DTs. As a virtual model of a process, product or service to pair the virtual and physical worlds, DTs allow data analysis and system monitoring by using simulations. The fast-growing technology has been widely studied and developed in recent years. Featured with centralization, integrity and dynamics, it is cost-effective to drive innovation and performance. Many fields saw the adaptation and implementation across industrial production, healthcare, smart city, transportation and logistics. World-famous enterprises such as Siemens, Tesla, ANSYS and General Electric have built smart factories and pioneered digital production, heading towards Industry 4.0. This book aims to provide an in-depth understanding and reference of DTs to technical personnel in the field, students and scholars of related majors, and general readers interested in intelligent industrial manufacturing.
Author : Salim Ullah
Publisher : Springer Nature
ISBN 13 : 3031212940
Total Pages : 190 pages
Book Rating : 4.0/5 (312 download)
Download or read book Approximate Arithmetic Circuit Architectures for FPGA-based Systems written by Salim Ullah and published by Springer Nature. This book was released on 2023-02-27 with total page 190 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents various novel architectures for FPGA-optimized accurate and approximate operators, their detailed accuracy and performance analysis, various techniques to model the behavior of approximate operators, and thorough application-level analysis to evaluate the impact of approximations on the final output quality and performance metrics. As multiplication is one of the most commonly used and computationally expensive operations in various error-resilient applications such as digital signal and image processing and machine learning algorithms, this book particularly focuses on this operation. The book starts by elaborating on the various sources of error resilience and opportunities available for approximations on various layers of the computation stack. It then provides a detailed description of the state-of-the-art approximate computing-related works and highlights their limitations.
