RRAM Computing-in-Memory Using Transient Charge Transferring for Low-Power and Small-Latency AI Edge Inference.
Linfang WangJunjie AnWang YeWeizeng LiHanghang GaoYangu HeJianfeng GaoJinshan YueLingyan FanChunmeng DouPublished in: APCCAS (2022)
Keyphrases
- low power
- power consumption
- low cost
- high speed
- single chip
- power dissipation
- high power
- digital signal processing
- wireless transmission
- low power consumption
- logic circuits
- vlsi circuits
- power reduction
- vlsi architecture
- image sensor
- edge detection
- response time
- cmos technology
- multithreading
- digital camera
- computational complexity
- video sequences
- real time