Processing-in-Memory Accelerator for Dynamic Neural Network with Run-Time Tuning of Accuracy, Power and Latency.
Li YangZhezhi HeShaahin AngiziDeliang FanPublished in: SoCC (2020)
Keyphrases
- compute intensive
- neural network
- computational power
- tuning parameters
- high accuracy
- real time
- auto associative
- data processing
- power consumption
- neural network model
- run times
- genetic algorithm
- back propagation
- prediction accuracy
- computational complexity
- self organizing maps
- parallel processing
- associative memory
- multi layer
- low latency
- memory management
- response time
- computational cost
- artificial neural networks
- radial basis function
- memory requirements
- dynamic environments
- processing elements