Approximate Computing

<p>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.</p>