Siracusa: A Low-Power On-Sensor RISC-V SoC for Extended Reality Visual Processing in 16nm CMOS

Keyphrases

• Application Workload 25%
• Computing Platform 25%
• Conventional Signal 25%
• Data Copy 25%
• Deep Learning Accelerator 25%
• Deep Neural Network Inference 25%
• Energy Efficiency 25%
• Entertainment-education 25%
• Extended Reality 100%
• Healthcare 25%
• Heterogeneous Applications 25%
• Highly Configurable 25%
• Image Sensor 25%
• In-sensor Computing 25%
• Latency 50%
• Low Power 100%
• Low Power Consumption 25%
• Machine Learning 25%
• Mass Adoption 25%
• Mixed Precision 25%
• On-chip Memory 25%
• Peak Energy 25%
• Popular 25%
• Power Consumption 25%
• Precision Machine 25%
• Promising Technology 25%
• Reduced Data 25%
• Reverse Intersystem Crossing (rISC) 100%
• Signal Control 25%
• Signal Processing 25%
• Similarity Design 25%
• Siracusa 100%
• Small Form Factor 25%
• Still Face 25%
• Visual Processing 100%
• XR Devices 25%
• XR Technology 25%

Computer Science

• Computing Platform 50%
• Data Processing 50%
• Deep Neural Network 50%
• Education 50%
• Energy Efficiency 50%
• Extended Reality 100%
• Image Sensor 50%
• Learning System 100%
• Low Power Consumption 50%
• Machine Learning 100%
• Memory Hierarchy 50%
• Network Inference 50%
• Power Consumption 50%
• RISC-V 100%
• Signal Processing 50%
• System-on-Chip 100%
• Visual Processing 100%