Approximate Computing Techniques
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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 Computing
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Author : Weiqiang Liu
language : en
Publisher: Springer Nature
Release Date : 2022-08-22
Approximate Computing 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 2022-08-22 with Technology & Engineering categories.
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.
Approximate Computing And Its Impact On Accuracy Reliability And Fault Tolerance
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Author : Gennaro S. Rodrigues
language : en
Publisher: Springer Nature
Release Date : 2022-11-16
Approximate Computing And Its Impact On Accuracy Reliability And Fault Tolerance written by Gennaro S. Rodrigues and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-11-16 with Technology & Engineering categories.
This book introduces the concept of approximate computing for software and hardware designs and its impact on the reliability of embedded systems. It presents approximate computing methods and proposes approximate fault tolerance techniques applied to programmable hardware and embedded software to provide reliability at low computational costs. The book also presents fault tolerance techniques based on approximate computing, thus presenting how approximate computing can be applied to safety-critical systems.
Energy Efficient And Runtime Based Approximate Computing Techniques For Image Processing Applications
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Author : Junqi Huang
language : en
Publisher:
Release Date : 2021
Energy Efficient And Runtime Based Approximate Computing Techniques For Image Processing Applications written by Junqi Huang and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021 with categories.
Design Automation Techniques For Approximation Circuits
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Author : Arun Chandrasekharan
language : en
Publisher: Springer
Release Date : 2018-10-10
Design Automation Techniques For Approximation Circuits written by Arun Chandrasekharan and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-10-10 with Technology & Engineering categories.
This book describes reliable and efficient design automation techniques for the design and implementation of an approximate computing system. The authors address the important facets of approximate computing hardware design - from formal verification and error guarantees to synthesis and test of approximation systems. They provide algorithms and methodologies based on classical formal verification, synthesis and test techniques for an approximate computing IC design flow. This is one of the first books in Approximate Computing that addresses the design automation aspects, aiming for not only sketching the possibility, but providing a comprehensive overview of different tasks and especially how they can be implemented.
Approximate Circuits
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Author : Sherief Reda
language : en
Publisher: Springer
Release Date : 2018-12-05
Approximate Circuits written by Sherief Reda and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-12-05 with Technology & Engineering categories.
This book provides readers with a comprehensive, state-of-the-art overview of approximate computing, enabling the design trade-off of accuracy for achieving better power/performance efficiencies, through the simplification of underlying computing resources. The authors describe in detail various efforts to generate approximate hardware systems, while still providing an overview of support techniques at other computing layers. The book is organized by techniques for various hardware components, from basic building blocks to general circuits and systems.
Vlsi And Hardware Implementations Using Modern Machine Learning Methods
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Author : Sandeep Saini
language : en
Publisher: CRC Press
Release Date : 2021-12-31
Vlsi And Hardware Implementations Using Modern Machine Learning Methods written by Sandeep Saini and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-12-31 with Technology & Engineering categories.
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.
Embedded Deep Learning
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Author : Bert Moons
language : en
Publisher: Springer
Release Date : 2018-10-23
Embedded Deep Learning written by Bert Moons and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-10-23 with Technology & Engineering categories.
This book covers algorithmic and hardware implementation techniques to enable embedded deep learning. The authors describe synergetic design approaches on the application-, algorithmic-, computer architecture-, and circuit-level that will help in achieving the goal of reducing the computational cost of deep learning algorithms. The impact of these techniques is displayed in four silicon prototypes for embedded deep learning. Gives a wide overview of a series of effective solutions for energy-efficient neural networks on battery constrained wearable devices; Discusses the optimization of neural networks for embedded deployment on all levels of the design hierarchy – applications, algorithms, hardware architectures, and circuits – supported by real silicon prototypes; Elaborates on how to design efficient Convolutional Neural Network processors, exploiting parallelism and data-reuse, sparse operations, and low-precision computations; Supports the introduced theory and design concepts by four real silicon prototypes. The physical realization’s implementation and achieved performances are discussed elaborately to illustrated and highlight the introduced cross-layer design concepts.
Smart Systems Integration And Simulation
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Author : Nicola Bombieri
language : en
Publisher: Springer
Release Date : 2016-02-17
Smart Systems Integration And Simulation written by Nicola Bombieri and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016-02-17 with Technology & Engineering categories.
This book-presents new methods and tools for the integration and simulation of smart devices. The design approach described in this book explicitly accounts for integration of Smart Systems components and subsystems as a specific constraint. It includes methodologies and EDA tools to enable multi-disciplinary and multi-scale modeling and design, simulation of multi-domain systems, subsystems and components at all levels of abstraction, system integration and exploration for optimization of functional and non-functional metrics. By covering theoretical and practical aspects of smart device design, this book targets people who are working and studying on hardware/software modelling, component integration and simulation under different positions (system integrators, designers, developers, researchers, teachers, students etc.). In particular, it is a good introduction to people who have interest in managing heterogeneous components in an efficient and effective way on different domains and different abstraction levels. People active in smart device development can understand both the current status of practice and future research directions. · Provides a comprehensive overview of smart systems design, focusing on design challenges and cutting-edge solutions; · Enables development of a co-simulation and co-design environment that accounts for the peculiarities of the basic subsystems and components to be integrated; · Describes development of modeling and design techniques, methods and tools that enable multi-domain simulation and optimization at various levels of abstraction and across different technological domains.
Advances In Automation Signal Processing Instrumentation And Control
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Author : Venkata Lakshmi Narayana Komanapalli
language : en
Publisher: Springer Nature
Release Date : 2021-03-04
Advances In Automation Signal Processing Instrumentation And Control written by Venkata Lakshmi Narayana Komanapalli and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-03-04 with Technology & Engineering categories.
This book presents the select proceedings of the International Conference on Automation, Signal Processing, Instrumentation and Control (i-CASIC) 2020. The book mainly focuses on emerging technologies in electrical systems, IoT-based instrumentation, advanced industrial automation, and advanced image and signal processing. It also includes studies on the analysis, design and implementation of instrumentation systems, and high-accuracy and energy-efficient controllers. The contents of this book will be useful for beginners, researchers as well as professionals interested in instrumentation and control, and other allied fields.