2019 Design Automation And Test In Europe Conference And Exhibition Date
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2019 Design Automation And Test In Europe Conference And Exhibition Date
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Author : IEEE Staff
language : en
Publisher:
Release Date : 2019-03-25
2019 Design Automation And Test In Europe Conference And Exhibition Date written by IEEE Staff and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-03-25 with categories.
The DATE conference addresses all aspects of research into technologies for electronic and embedded system engineering It covers the design process, test, and automation tools for electronics ranging from integrated circuits to distributed embedded systems This includes both hardware and embedded software design issues The conference scope also includes the elaboration of design requirements and new architectures for challenging application fields such as telecoms, wireless communications, multimedia, healthcare, smart energy and automotive systems Companies also present innovative industrial designs to foster the feedback from realworld design to research DATE also hosts a number of special sessions, events within the main technical programme such as panels, hot topic sessions, tutorials and workshops technical programme such as panels, hot topic sessions, tutorials and workshops
2024 Design Automation And Test In Europe Conference And Exhibition Date
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Author : IEEE Staff
language : en
Publisher:
Release Date : 2024-03-25
2024 Design Automation And Test In Europe Conference And Exhibition Date written by IEEE Staff and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-03-25 with Technology & Engineering categories.
The DATE conference is the main European event bringing together designers and design automation users, researchers and vendors as well as specialists in the hardware and software design, test and manufacturing of electronic circuits and systems DATE puts a strong emphasis on both technology and systems, covering ICs SoCs, reconfigurable hardware and embedded systems as well as embedded software
Network On Chip Security And Privacy
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Author : Prabhat Mishra
language : en
Publisher: Springer Nature
Release Date : 2021-06-04
Network On Chip Security And Privacy written by Prabhat Mishra and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-06-04 with Technology & Engineering categories.
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.
Introduction To Vlsi Design Flow
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Author : Sneh Saurabh
language : en
Publisher: Cambridge University Press
Release Date : 2023-06-15
Introduction To Vlsi Design Flow written by Sneh Saurabh and has been published by Cambridge University Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-06-15 with Technology & Engineering categories.
A textbook on the fundamentals of VLSI design flow, covering the various stages of design implementation, verification, and testing.
Embedded Machine Learning For Cyber Physical Iot And Edge Computing
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Author : Sudeep Pasricha
language : en
Publisher: Springer Nature
Release Date : 2023-11-01
Embedded Machine Learning For Cyber Physical Iot And Edge Computing written by Sudeep Pasricha and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-11-01 with Technology & Engineering categories.
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.
Design And Applications Of Emerging Computer Systems
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Author : Weiqiang Liu
language : en
Publisher: Springer Nature
Release Date :
Design And Applications Of Emerging Computer Systems written by Weiqiang Liu and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on with categories.
Deep Learning Powered Technologies
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Author : Khaled Salah Mohamed
language : en
Publisher: Springer Nature
Release Date : 2023-06-23
Deep Learning Powered Technologies written by Khaled Salah Mohamed and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-06-23 with Technology & Engineering categories.
This book covers various, leading-edge deep learning technologies. The author discusses new applications of deep learning and gives insight into the integration of deep learning with various application domains, such as autonomous driving, augmented reality, AIOT, 5G and beyond.
Approximate Computing Techniques
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Author : Alberto Bosio
language : en
Publisher: Springer Nature
Release Date : 2022-06-10
Approximate Computing Techniques written by Alberto Bosio and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-06-10 with Technology & Engineering categories.
This book serves as a single-source reference to the latest advances in Approximate Computing (AxC), a promising technique for increasing performance or reducing the cost and power consumption of a computing system. The authors discuss the different AxC design and validation techniques, and their integration. They also describe real AxC applications, spanning from mobile to high performance computing and also safety-critical applications.
Approximate Arithmetic Circuit Architectures For Fpga Based Systems
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Author : Salim Ullah
language : en
Publisher: Springer Nature
Release Date : 2023-02-27
Approximate Arithmetic Circuit Architectures For Fpga Based Systems written by Salim Ullah and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-02-27 with Technology & Engineering categories.
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.
Machine Learning Applications In Electronic Design Automation
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Author : Haoxing Ren
language : en
Publisher: Springer Nature
Release Date : 2023-01-01
Machine Learning Applications In Electronic Design Automation written by Haoxing Ren and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-01-01 with Technology & Engineering categories.
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.