04457nam 22006255 450 991059007780332120251113200115.09783030983475303098347110.1007/978-3-030-98347-5(MiAaPQ)EBC7076789(Au-PeEL)EBL7076789(CKB)24735729300041(PPN)264195906(OCoLC)1342250360(DE-He213)978-3-030-98347-5(EXLCZ)992473572930004120220822d2022 u| 0engurcnu||||||||txtrdacontentcrdamediacrrdacarrierApproximate Computing /edited by Weiqiang Liu, Fabrizio Lombardi1st ed. 2022.Cham :Springer International Publishing :Imprint: Springer,2022.1 online resource (607 pages)Computer Science SeriesPrint version: Liu, Weiqiang Approximate Computing Cham : Springer International Publishing AG,c2022 9783030983468 Includes bibliographical references and index.Part I Approximate Arithmetic and Circuits -- 1-Approximate Arithmetic Circuits: Design and Applications -- 2-An Automated Logic Level Framework for Approximate Modular Arithmetic Circuits -- 3-Approximate Multiplier Design for Energy Efficiency: From Circuit to Algorithm -- 4-Low-Precision Floating-Point Formats: From General-Purpose to Application-Specific -- 5-Spintronic Solutions for Approximate Computing -- 6-Majority Logic Based Approximate Multipliers for Error-Tolerant Applications -- Part II Design Automation and Test -- 7-Approximate Logic Synthesis for FPGA by Decomposition -- 8-Design Techniques for Approximate Realization of Data-Flow Graphs -- 9-Approximation on Data Flow Graph Execution for Energy Efficiency -- 10-Test and Reliability of Approximate Hardware -- Part III Security -- 11-SecurityVulnerabilities in Approximate Circuits -- 12-Voltage Overscaling Techniques for Security Applications -- 13-Approximate Computing for Cryptography -- 14-Towards Securing Approximate Computing Systems: Security Threats and Attack Mitigation -- Part IV Neural Networks and Machine Learning -- 15-Approximate Computing for Machine Learning Workloads: A circuits and systems perspective -- 16-Approximate Computing for Efficient Neural Network Computation -- 17-Enabling Efficient Inference of Convolutional Neural Networks via Approximation -- 18-Approximate Computing for Energy-Constrained DNN-based Speech Recognition -- 19-Efficient Approximate DNN Accelerators for Edge Devices -- Part V Applications -- 20-Cross-Level Design of Approximate Computing for Continuous Perception System -- 21-Approximate Computing in Image Compression and Denoising -- 22-Approximate Computation for Baseband Processing.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.Computer Science SeriesElectronic circuitsEmbedded computer systemsElectronic circuit designElectronic Circuits and SystemsEmbedded SystemsElectronics Design and VerificationElectronic circuits.Embedded computer systems.Electronic circuit design.Electronic Circuits and Systems.Embedded Systems.Electronics Design and Verification.004Liu WeiqiangLombardi FabrizioMiAaPQMiAaPQMiAaPQBOOK9910590077803321Approximate computing3362634UNINA