A 28nm 64Kb SRAM based Inference-Training Tri-Mode Computing-in-Memory Macro.
Nanbing PanXiaoxin CuiXin QiaoKanglin XiaoQingyu GuoYuan WangPublished in: ISCAS (2022)
Keyphrases
- structured prediction
- knowledge base
- memory requirements
- random access memory
- power consumption
- training set
- computing power
- online learning
- data transmission
- bayesian inference
- dynamic random access memory
- memory space
- probabilistic inference
- belief networks
- training examples
- training samples
- supervised learning
- decision trees
- neural network
- test set
- low power
- x ray
- training phase
- memory usage
- bayesian networks
- data sets