Approximate Computing Techniques

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Approximate Computing Techniques

Alberto Bosio,Daniel Ménard,Olivier Sentieys
Approximate Computing Techniques Book PDF

Author : Alberto Bosio,Daniel Ménard,Olivier Sentieys
Publisher : Springer Nature
Page : 541 pages
File Size : 45,9 Mb
Release : 2022-06-10
Category : Technology & Engineering
ISBN : 9783030947057

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Approximate Computing Techniques by Alberto Bosio,Daniel Ménard,Olivier Sentieys Pdf

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

Sherief Reda,Muhammad Shafique
Approximate Circuits Book PDF

Author : Sherief Reda,Muhammad Shafique
Publisher : Springer
Page : 479 pages
File Size : 50,6 Mb
Release : 2018-12-05
Category : Technology & Engineering
ISBN : 9783319993225

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Approximate Circuits by Sherief Reda,Muhammad Shafique Pdf

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

Weiqiang Liu,Fabrizio Lombardi
Approximate Computing Book PDF

Author : Weiqiang Liu,Fabrizio Lombardi
Publisher : Springer Nature
Page : 607 pages
File Size : 47,8 Mb
Release : 2022-08-22
Category : Technology & Engineering
ISBN : 9783030983475

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Approximate Computing by Weiqiang Liu,Fabrizio Lombardi Pdf

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

Gennaro S. Rodrigues,Fernanda L. Kastensmidt,Alberto Bosio
Approximate Computing and its Impact on Accuracy Reliability and Fault Tolerance Book PDF

Author : Gennaro S. Rodrigues,Fernanda L. Kastensmidt,Alberto Bosio
Publisher : Springer Nature
Page : 137 pages
File Size : 54,7 Mb
Release : 2022-11-16
Category : Technology & Engineering
ISBN : 9783031157172

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Approximate Computing and its Impact on Accuracy, Reliability and Fault-Tolerance by Gennaro S. Rodrigues,Fernanda L. Kastensmidt,Alberto Bosio Pdf

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.

Design Automation Techniques for Approximation Circuits

Arun Chandrasekharan,Daniel Große,Rolf Drechsler
Design Automation Techniques for Approximation Circuits Book PDF

Author : Arun Chandrasekharan,Daniel Große,Rolf Drechsler
Publisher : Springer
Page : 130 pages
File Size : 45,8 Mb
Release : 2018-10-10
Category : Technology & Engineering
ISBN : 9783319989655

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Design Automation Techniques for Approximation Circuits by Arun Chandrasekharan,Daniel Große,Rolf Drechsler Pdf

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.

IoT for Smart Grids

Kostas Siozios,Dimitrios Anagnostos,Dimitrios Soudris,Elias Kosmatopoulos
IoT for Smart Grids Book PDF

Author : Kostas Siozios,Dimitrios Anagnostos,Dimitrios Soudris,Elias Kosmatopoulos
Publisher : Springer
Page : 282 pages
File Size : 51,8 Mb
Release : 2018-11-24
Category : Technology & Engineering
ISBN : 9783030036409

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IoT for Smart Grids by Kostas Siozios,Dimitrios Anagnostos,Dimitrios Soudris,Elias Kosmatopoulos Pdf

This book explains the fundamentals of control theory for Internet of Things (IoT) systems and smart grids and its applications. It discusses the challenges imposed by large-scale systems, and describes the current and future trends and challenges in decision-making for IoT in detail, showing the ongoing industrial and academic research in the field of smart grid domain applications. It presents step-by-step design guidelines for the modeling, design, customisation and calibration of IoT systems applied to smart grids, in which the challenges increase with each system’s increasing complexity. It also provides solutions and detailed examples to demonstrate how to use the techniques to overcome these challenges, as well as other problems related to decision-making for successful implementation. Further, it anaylses the features of decision-making, such as low-complexity and fault-tolerance, and uses open-source and publicly available software tools to show readers how they can design, implement and customise their own system control instantiations. This book is a valuable resource for power engineers and researchers, as it addresses the analysis and design of flexible decision-making mechanisms for smart grids. It is also of interest to students on courses related to control of large-scale systems, since it covers the use of state-of-the-art technology with examples and solutions in every chapter. And last but not least, it offers practical advice for professionals working with smart grids.

Imprecise and Approximate Computation

Swaminathan Natarajan
Imprecise and Approximate Computation Book PDF

Author : Swaminathan Natarajan
Publisher : Springer Science & Business Media
Page : 193 pages
File Size : 54,7 Mb
Release : 1995-06-30
Category : Computers
ISBN : 9780792395799

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Imprecise and Approximate Computation by Swaminathan Natarajan Pdf

Real-time systems are now used in a wide variety of applications. Conventionally, they were configured at design to perform a given set of tasks and could not readily adapt to dynamic situations. The concept of imprecise and approximate computation has emerged as a promising approach to providing scheduling flexibility and enhanced dependability in dynamic real-time systems. The concept can be utilized in a wide variety of applications, including signal processing, machine vision, databases, networking, etc. For those who wish to build dynamic real-time systems which must deal safely with resource unavailability while continuing to operate, leading to situations where computations may not be carried through to completion, the techniques of imprecise and approximate computation facilitate the generation of partial results that may enable the system to operate safely and avert catastrophe. Audience: Of special interest to researchers. May be used as a supplementary text in courses on real-time systems.

Embedded Deep Learning

Bert Moons,Daniel Bankman,Marian Verhelst
Embedded Deep Learning Book PDF

Author : Bert Moons,Daniel Bankman,Marian Verhelst
Publisher : Springer
Page : 206 pages
File Size : 54,9 Mb
Release : 2018-10-23
Category : Technology & Engineering
ISBN : 9783319992235

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Embedded Deep Learning by Bert Moons,Daniel Bankman,Marian Verhelst Pdf

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.

Embedded Computing for High Performance

João Manuel Paiva Cardoso,José Gabriel de Figueiredo Coutinho,Pedro C. Diniz
Embedded Computing for High Performance Book PDF

Author : João Manuel Paiva Cardoso,José Gabriel de Figueiredo Coutinho,Pedro C. Diniz
Publisher : Morgan Kaufmann
Page : 320 pages
File Size : 46,9 Mb
Release : 2017-06-13
Category : Computers
ISBN : 9780128041994

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Embedded Computing for High Performance by João Manuel Paiva Cardoso,José Gabriel de Figueiredo Coutinho,Pedro C. Diniz Pdf

Embedded Computing for High Performance: Design Exploration and Customization Using High-level Compilation and Synthesis Tools provides a set of real-life example implementations that migrate traditional desktop systems to embedded systems. Working with popular hardware, including Xilinx and ARM, the book offers a comprehensive description of techniques for mapping computations expressed in programming languages such as C or MATLAB to high-performance embedded architectures consisting of multiple CPUs, GPUs, and reconfigurable hardware (FPGAs). The authors demonstrate a domain-specific language (LARA) that facilitates retargeting to multiple computing systems using the same source code. In this way, users can decouple original application code from transformed code and enhance productivity and program portability. After reading this book, engineers will understand the processes, methodologies, and best practices needed for the development of applications for high-performance embedded computing systems. Focuses on maximizing performance while managing energy consumption in embedded systems Explains how to retarget code for heterogeneous systems with GPUs and FPGAs Demonstrates a domain-specific language that facilitates migrating and retargeting existing applications to modern systems Includes downloadable slides, tools, and tutorials

Architecture of Computing Systems

Martin Schulz,Carsten Trinitis,Nikela Papadopoulou,Thilo Pionteck
Architecture of Computing Systems Book PDF

Author : Martin Schulz,Carsten Trinitis,Nikela Papadopoulou,Thilo Pionteck
Publisher : Springer Nature
Page : 293 pages
File Size : 54,8 Mb
Release : 2022-12-13
Category : Computers
ISBN : 9783031218675

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Architecture of Computing Systems by Martin Schulz,Carsten Trinitis,Nikela Papadopoulou,Thilo Pionteck Pdf

This book constitutes the proceedings of the 35th International Conference on Architecture of Computing Systems, ARCS 2022, held virtually in July 2022. The 18 full papers in this volume were carefully reviewed and selected from 35 submissions. ARCS provides a platform covering newly emerging and cross-cutting topics, such as autonomous and ubiquitous systems, reconfigurable computing and acceleration, neural networks and artificial intelligence. The selected papers cover a variety of topics from the ARCS core domains, including energy efficiency, applied machine learning, hardware and software system security, reliable and fault-tolerant systems and organic computing.

Advanced Techniques for IoT Applications

Jyotsna Kumar Mandal,Debashis De
Advanced Techniques for IoT Applications Book PDF

Author : Jyotsna Kumar Mandal,Debashis De
Publisher : Springer Nature
Page : 626 pages
File Size : 52,8 Mb
Release : 2021-08-02
Category : Technology & Engineering
ISBN : 9789811644351

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Advanced Techniques for IoT Applications by Jyotsna Kumar Mandal,Debashis De Pdf

This book includes original, unpublished contributions presented at the Sixth International Conference on Emerging Applications of Information Technology (EAIT 2020), held at the University of Kalyani, Kalyani, West Bengal, India, on November 2020. The book covers the topics such as image processing, computer vision, pattern recognition, machine learning, data mining, big data and analytics, information security and privacy, wireless and sensor networks, and IoT. It will also include IoT application-related papers in pattern recognition, artificial intelligence, expert systems, natural language understanding, image processing, computer vision, applications in biomedical engineering, artificial neural networks, fuzzy logic, evolutionary optimization, data mining, Web intelligence, intelligent agent technology, virtual reality, and visualization.

Approximation Algorithms

Vijay V. Vazirani
Approximation Algorithms Book PDF

Author : Vijay V. Vazirani
Publisher : Springer Science & Business Media
Page : 380 pages
File Size : 52,5 Mb
Release : 2013-03-14
Category : Computers
ISBN : 9783662045657

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Approximation Algorithms by Vijay V. Vazirani Pdf

Covering the basic techniques used in the latest research work, the author consolidates progress made so far, including some very recent and promising results, and conveys the beauty and excitement of work in the field. He gives clear, lucid explanations of key results and ideas, with intuitive proofs, and provides critical examples and numerous illustrations to help elucidate the algorithms. Many of the results presented have been simplified and new insights provided. Of interest to theoretical computer scientists, operations researchers, and discrete mathematicians.

From Variability Tolerance to Approximate Computing in Parallel Integrated Architectures and Accelerators

Abbas Rahimi,Luca Benini,Rajesh K. Gupta
From Variability Tolerance to Approximate Computing in Parallel Integrated Architectures and Accelerators Book PDF

Author : Abbas Rahimi,Luca Benini,Rajesh K. Gupta
Publisher : Springer
Page : 197 pages
File Size : 45,8 Mb
Release : 2017-04-23
Category : Technology & Engineering
ISBN : 9783319537689

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From Variability Tolerance to Approximate Computing in Parallel Integrated Architectures and Accelerators by Abbas Rahimi,Luca Benini,Rajesh K. Gupta Pdf

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.

Computation and Approximation

Vijay Gupta,Michael Th. Rassias
Computation and Approximation Book PDF

Author : Vijay Gupta,Michael Th. Rassias
Publisher : Springer Nature
Page : 107 pages
File Size : 53,5 Mb
Release : 2021-11-29
Category : Mathematics
ISBN : 9783030855635

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Computation and Approximation by Vijay Gupta,Michael Th. Rassias Pdf

This brief studies recent work conducted on certain exponential type operators and other integral type operators. It consists of three chapters: the first on exponential type operators, the second a study of some modifications of linear positive operators, and the third on difference estimates between two operators. It will be of interest to students both graduate and undergraduate studying linear positive operators and the area of approximation theory.

VLSI and Hardware Implementations using Modern Machine Learning Methods

Sandeep Saini,Kusum Lata,G.R. Sinha
VLSI and Hardware Implementations using Modern Machine Learning Methods Book PDF

Author : Sandeep Saini,Kusum Lata,G.R. Sinha
Publisher : CRC Press
Page : 292 pages
File Size : 44,9 Mb
Release : 2021-12-31
Category : Technology & Engineering
ISBN : 9781000523843

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VLSI and Hardware Implementations using Modern Machine Learning Methods by Sandeep Saini,Kusum Lata,G.R. Sinha Pdf

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.