HXNOR-PBNN: A Scalable and Parallel Spintronics Synaptic Architecture for Probabilistic Binary Neural Networks.
Cancheng XiaoYuxuan MaDingsong JiangJianle LiuBingqian SongJianshi TangHuaqiang WuTianxiang NanPublished in: ISCAS (2024)
Keyphrases
- neural network
- multi processor
- network architecture
- feed forward
- learning rules
- parallel architecture
- master slave
- scalable distributed
- multi layer
- back propagation
- software architecture
- multi core processors
- generative model
- real time
- parallel processing
- processing elements
- associative memory
- genetic algorithm
- processor array
- learning capabilities
- parallel computers
- hebbian learning
- fuzzy logic
- pattern recognition
- artificial neural networks
- probabilistic model
- parallel implementation
- multilayer perceptron
- shared memory
- hardware implementation
- single processor
- self organizing maps
- training algorithm
- spiking neural networks
- management system
- spiking neurons
- continuous valued
- distributed processing
- processing units
- level parallelism
- single neuron