LEADER 04590nam 22006615 450 001 9910590077803321 005 20260331194012.0 010 $a9783030983475 010 $a3030983471 024 7 $a10.1007/978-3-030-98347-5 035 $a(MiAaPQ)EBC7076789 035 $a(Au-PeEL)EBL7076789 035 $a(CKB)24735729300041 035 $a(PPN)264195906 035 $a(OCoLC)1342250360 035 $a(DE-He213)978-3-030-98347-5 035 $a(EXLCZ)9924735729300041 100 $a20220822d2022 u| 0 101 0 $aeng 135 $aurcnu|||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aApproximate Computing /$fedited by Weiqiang Liu, Fabrizio Lombardi 205 $a1st ed. 2022. 210 1$aCham :$cSpringer International Publishing :$cImprint: Springer,$d2022. 215 $a1 online resource (607 pages) 225 1 $aComputer Science Series 311 08$aPrint version: Liu, Weiqiang Approximate Computing Cham : Springer International Publishing AG,c2022 9783030983468 320 $aIncludes bibliographical references and index. 327 $aPart 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. 330 $aThis book explores the technological developments at various levels of abstraction, of the new paradigm of approximate computing. The authors describe in a single-source the state-of-the-art, covering the entire spectrum of research activities in approximate computing, bridging device, circuit, architecture, and system levels. Content includes tutorials, reviews and surveys of current theoretical/experimental results, design methodologies and applications developed in approximate computing for a wide scope of readership and specialists. Serves as a single-source reference to state-of-the-art of approximate computing; Covers broad range of topics, from circuits to applications; Includes contributions by leading researchers, from academia and industry. 410 0$aComputer Science Series 606 $aElectronic circuits 606 $aEmbedded computer systems 606 $aElectronic circuit design 606 $aElectronic Circuits and Systems 606 $aEmbedded Systems 606 $aElectronics Design and Verification 606 $aArquitectura d'ordinadors$2thub 608 $aLlibres electrònics$2thub 615 0$aElectronic circuits. 615 0$aEmbedded computer systems. 615 0$aElectronic circuit design. 615 14$aElectronic Circuits and Systems. 615 24$aEmbedded Systems. 615 24$aElectronics Design and Verification. 615 7$aArquitectura d'ordinadors 676 $a004 702 $aLiu$b Weiqiang 702 $aLombardi$b Fabrizio 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910590077803321 996 $aApproximate computing$93362634 997 $aUNINA