In-memory batch-normalization for resistive memory based binary neural network hardware.
Hyungjun KimYulhwa KimJae-Joon KimPublished in: ASP-DAC (2019)
Keyphrases
- neural network
- computing power
- auto associative
- fermentation process
- low cost
- associative memory
- artificial neural networks
- internal memory
- hardware and software
- pattern recognition
- real time
- memory management
- parallel hardware
- computational power
- memory hierarchy
- back propagation
- memory usage
- neural network model
- neural network is trained
- recurrent neural networks
- image processing
- memory subsystem
- prediction model
- computing systems
- hardware implementation
- multi layer perceptron
- memory requirements
- genetic algorithm
- normalization method
- processing elements
- self organizing maps
- ibm zenterprise
- memory based learning
- digital signal processors
- memory access
- multithreading
- memory space
- massively parallel
- network architecture
- multilayer perceptron
- feed forward
- main memory
- computer systems
- preprocessing
- data structure