Evaluating Performance, Power and Energy of Deep Neural Networks on CPUs and GPUs.
Yuyang SunZhixin OuJuan ChenXinxin QiYifei GuoShunzhe CaiXiaoming YanPublished in: NCTCS (2021)
Keyphrases
- neural network
- parallel processing
- power consumption
- energy consumption
- graphics processing units
- computational power
- energy management
- solar energy
- energy conservation
- total energy
- multi core systems
- graphics processors
- energy efficiency
- electrical energy
- energy saving
- self organizing maps
- back propagation
- fuzzy logic
- commodity hardware
- artificial neural networks
- power generation
- power distribution
- genetic algorithm
- training process
- neural nets
- feed forward
- general purpose
- pattern recognition
- parallel programming
- multi layer
- energy minimization
- energy dissipation
- graphics hardware
- associative memory
- efficient implementation
- neural network model
- power distribution systems
- fossil fuels