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Approximate Computing / edited by Weiqiang Liu, Fabrizio Lombardi.
- Format:
- Book
- Series:
- Computer Science (SpringerNature-11645)
- Language:
- English
- Subjects (All):
- Electronic circuits.
- Embedded computer systems.
- Electronic circuit design.
- Electronic Circuits and Systems.
- Embedded Systems.
- Electronics Design and Verification.
- Local Subjects:
- Electronic Circuits and Systems.
- Embedded Systems.
- Electronics Design and Verification.
- Physical Description:
- 1 online resource (XVIII, 600 pages) : 350 illustrations, 202 illustrations in color.
- Edition:
- 1st ed. 2022.
- Contained In:
- Springer Nature eBook
- Place of Publication:
- Cham : Springer International Publishing : Imprint: Springer, 2022.
- System Details:
- text file PDF
- Summary:
- 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.
- Contents:
- 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.
- Other Format:
- Printed edition:
- ISBN:
- 978-3-030-98347-5
- 9783030983475
- Access Restriction:
- Restricted for use by site license.
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