Approximate Computing

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