An RRAM-Based 40.6 TOPS/W Energy-Efficient AI Inference Accelerator with Quad Neuromorphic-Processor-Unit for Highly Contrast Recognition
2024 INTERNATIONAL VLSI SYMPOSIUM ON TECHNOLOGY, SYSTEMS AND APPLICATIONS, VLSI TSA（2024）
Key words
Inference Acceleration,AI Inference,Neural Network,Quantization Error,MNIST Dataset,Image Recognition,Floating-point Operations,Edge Devices,Inference Stage,Read Operation,Memory Array,Sign Bit
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