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 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.
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.
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.
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 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.
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.
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.
Adaptive Approximate Computing For Enhanced Quality Assurance
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Author : Mahmoud Saleh Masadeh
language : en
Publisher:
Release Date : 2022
Adaptive Approximate Computing For Enhanced Quality Assurance written by Mahmoud Saleh Masadeh and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022 with categories.
Approximate Computing (AC) has been widely advocated for energy-efficiency in error-tolerant applications as it offers the opportunity to trade-off output quality for reduced power consumption and execution time. Approximate accelerators, which consist of a large number of functional units, have been proposed in error-resilient applications, to speed-up regularly executed code elements while assuring defined quality constraints. However, with an approximate static design, while the average output quality constraint is satisfied, the quality of individual outputs varies significantly with dynamically changing inputs. Thus, quality assurance is an essential and non-trivial problem. State-of-the-art approaches in approximate computing address this problem by precisely re-evaluating those quality-violating accelerator invocations. However, such methods can significantly diminish or even cancel the benefits of approximation, especially when the rate of input data variations is high and approximate errors are considerably above a user given threshold, i.e., target output quality (TOQ). As a general solution to this problem, in this thesis, we propose a novel methodology to enhance the quality of approximation by two approaches: 1) design adaptation by predicting the most suitable settings of the approximate design to execute the inputs; and/or 2) error compensation by predicting the error magnitude to use in adjusting the output results. The proposed method predicts the design settings, or the error magnitude based on the applied input data and user preferences, without losing the gains of approximations. We mostly consider the case of approximate accelerators built with approximate functional units such as approximate multipliers, where we design a library of approximate accelerators with 20 different settings of 8 and 16-bit approximate multipliers. For the adaptive approximate computing, we use machine learning (ML) algorithms to build an efficient and lightweight design selector to adapt the approximate accelerators to meet a user-defined quality constraint. Compared with contemporary techniques, our approach is a fine-grained input-dependent approximation approach, with no missed approximation opportunities or rollback recovery overhead. The proposed method applies to any approximate accelerator with error-tolerant components, and it is flexible in adapting various error metrics. We fully automate the proposed methodology of quality assurance of approximate accelerators using ML-based models, for both software and hardware implementations. The obtained analysis results of image processing and audio applications showed that it is possible to satisfy the TOQ with an accuracy ranging from 80% to 85.7%. The hardware implementation is based on Field Programmable Gate Arrays (FPGA) approximate adaptive accelerator with constraints on size, cost, and power consumption, which rely on dynamic partial reconfiguration to assist in satisfying these requirements. To ensure the quality of results for a single approximate design rather than a library, we build a decision tree-based model for error compensation. The proposed model detects the magnitude of approximation error based on design inputs. Then, it enhances the accuracy of the approximate result by adding the error magnitude to it. The proposed methodology is able to enhance the quality of image processing applications with a negligible overhead.
From Variability Tolerance To Approximate Computing In Parallel Integrated Architectures And Accelerators
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Author : Abbas Rahimi
language : en
Publisher: Springer
Release Date : 2017-04-23
From Variability Tolerance To Approximate Computing In Parallel Integrated Architectures And Accelerators written by Abbas Rahimi and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-04-23 with Technology & Engineering categories.
This book focuses on computing devices and their design at various levels to combat variability. The authors provide a review of key concepts with particular emphasis on timing errors caused by various variability sources. They discuss methods to predict and prevent, detect and correct, and finally conditions under which such errors can be accepted; they also consider their implications on cost, performance and quality. Coverage includes a comparative evaluation of methods for deployment across various layers of the system from circuits, architecture, to application software. These can be combined in various ways to achieve specific goals related to observability and controllability of the variability effects, providing means to achieve cross layer or hybrid resilience.