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
