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Approximate computing / / Weiqiang Liu and Fabrizio Lombardi, editors
Approximate computing / / Weiqiang Liu and Fabrizio Lombardi, editors
Pubbl/distr/stampa Cham, Switzerland : , : Springer Nature Switzerland AG, , [2022]
Descrizione fisica 1 online resource (607 pages)
Disciplina 004
Soggetto topico Computers
ISBN 3-030-98347-1
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNISA-996485667403316
Cham, Switzerland : , : Springer Nature Switzerland AG, , [2022]
Materiale a stampa
Lo trovi qui: Univ. di Salerno
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Approximate Computing / / edited by Weiqiang Liu, Fabrizio Lombardi
Approximate Computing / / edited by Weiqiang Liu, Fabrizio Lombardi
Edizione [1st ed. 2022.]
Pubbl/distr/stampa Cham : , : Springer International Publishing : , : Imprint : Springer, , 2022
Descrizione fisica 1 online resource (607 pages)
Disciplina 004
Collana Computer Science Series
Soggetto topico Electronic circuits
Embedded computer systems
Electronic circuit design
Electronic Circuits and Systems
Embedded Systems
Electronics Design and Verification
ISBN 9783030983475
3030983471
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto 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.
Record Nr. UNINA-9910590077803321
Cham : , : Springer International Publishing : , : Imprint : Springer, , 2022
Materiale a stampa
Lo trovi qui: Univ. Federico II
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Design and Applications of Emerging Computer Systems / / edited by Weiqiang Liu, Jie Han, Fabrizio Lombardi
Design and Applications of Emerging Computer Systems / / edited by Weiqiang Liu, Jie Han, Fabrizio Lombardi
Edizione [1st ed. 2024.]
Pubbl/distr/stampa Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2024
Descrizione fisica 1 online resource (745 pages)
Disciplina 658.05
Soggetto topico Electronic circuits
Embedded computer systems
Solid state physics
Electronic Circuits and Systems
Embedded Systems
Electronic Devices
ISBN 3-031-42478-6
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Part-I. In-Memory Computing, Neuromorphic Computing and Machine Learning -- Chapter 1. Emerging Technologies for Memory-Centric Computing -- Chapter 2. An overview of Computation-in-Memory (CIM) architectures -- Chapter 3. Towards Spintronics Non-Volatile Computing-in-Memory Architecture -- Chapter 4. Is Neuromorphic Computing the Key to Power-Efficient Neural Networks?: A Survey -- Chapter 5. Emerging Machine Learning using Siamese and Triplet Neural Networks -- Chapter 6. An active storage system for intelligent data analysis and management -- Chapter 7. Error-Tolerant Techniques for Classifiers beyond Neural Networks for Dependable Machine Learning -- Part-II. Stochastic Computing -- Chapter 8. Efficient Random Number Source Designs Based on D Flip-Flops for Stochastic Computing -- Chapter 9. Stochastic multipliers from serial to parallel -- Chapter 10. Ising Models Based On Stochastic Computing -- Chapter 11. Stochastic and Approximate Computing for Deep Learning: A Survey -- Chapter 12. Stochastic Computing and Morphological Neural Networks: an ultra-high energy-efficient Machine Learning methodology -- Chapter 13. Characterizing Stochastic Number Generators for Accurate Stochastic Computing -- Part-III. Inexact/Approximate Computing -- Chapter 14. Automated Generation and Evaluation of Application-Oriented Approximate Arithmetic Circuits -- Chapter 15. Automatic Approximation of Computer Systems through Multi-Objective Optimization -- Chapter 16. Evaluation of the functional impact of approximate arithmetic circuits on two application examples -- Chapter 17. Energy Efficient Approximate Floating-Point FFT Design Using A Top-Down Methodology -- Chapter 18. Approximate Computing in Machine Learning Systems: Cross-level designs and methodologies -- Chapter 19. Adaptive Approximate Accelerators with Controlled Quality using Machine Learning -- Chapter 20. Design Wireless Communication Circuits and Systems Using Approximate Computing -- Chapter 21. Low-cost Logarithmic Floating-point Multipliers for Efficient Neural Network Training -- Part-IV. Quantum Computing and Other Emerging Computing -- Chapter 22. Cryogenic CMOS for quantum computing -- Chapter 23. Memristive Crossbar System towards Hardware Accelaration of Quantum Algorithms -- Chapter 24. A Review of Posit Arithmetic for Energy Efficient Computation: Methodologies, Applications, and Challenges -- Chapter 25. Designing Fault Tolerant Digital circuits in Quantum-dot Cellular Automata -- Chapter 26. CMOS Circuit-based Fully Connected Ising Machines with Parallel Updating and Its Applications in MIMO Detection -- Chapter 27. Approximate Communication in Network-on Chips for Training and Inference of Image Classification Models.
Record Nr. UNINA-9910800111603321
Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2024
Materiale a stampa
Lo trovi qui: Univ. Federico II
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