05600nam a22005415i 4500 978-3-031-42478-6 DE-He213 20251030110920.0 cr nn 008mamaa 240113s2024 sz | s |||| 0|eng d 9783031424786 978-3-031-42478-6 10.1007/978-3-031-42478-6 doi TK7867-7867.5 TJFC bicssc TEC008010 bisacsh TJFC thema Design and Applications of Emerging Computer Systems [electronic resource] / edited by Weiqiang Liu, Jie Han, Fabrizio Lombardi. 1st ed. 2024. Cham : Springer Nature Switzerland : Imprint: Springer, 2024. XXIV, 744 p. 397 illus., 293 illus. in color. online resource. text txt rdacontent computer c rdamedia online resource cr rdacarrier text file PDF rda 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. This book provides a single-source reference to the state-of-the-art in emerging computer systems. The authors address the technological contributions and developments at various hardware levels of new systems that compute under novel operational paradigms such as stochastic, probabilistic/inexact, neuromorphic, spintronic, bio-inspired and in-memory computing. Coverage includes the entire stack, i.e., from circuit, architecture, up to system level. This book includes tutorials, reviews and surveys of current theoretical/experimental results, design methodologies and a range of applications. Serves as a single-source reference to state-of-the-art of emerging computing paradigms; Covers the entire system stack, i.e., from circuit, architecture, up to system level; Includes contributions by leading researchers from academia and industry. Electronic circuits. Embedded computer systems. 64625 Solid state physics. Electronic Circuits and Systems. Embedded Systems. Electronic Devices. Liu, Weiqiang. editor. edt http://id.loc.gov/vocabulary/relators/edt 69527 Han, Jie. editor. edt http://id.loc.gov/vocabulary/relators/edt 69528 Lombardi, Fabrizio. editor. edt http://id.loc.gov/vocabulary/relators/edt 69529 SpringerLink (Online service) Springer Nature eBook Printed edition: 9783031424779 Printed edition: 9783031424793 Printed edition: 9783031424809 https://doi.org/10.1007/978-3-031-42478-6 ZDB-2-ENG ZDB-2-SXE 57184 57184