Processing-In-Memory Acceleration of Convolutional Neural Networks for Energy-Effciency, and Power-Intermittency Resilience.
Arman RoohiShaahin AngiziDeliang FanRonald F. DeMaraPublished in: ISQED (2019)
Keyphrases
- convolutional neural networks
- computational power
- power consumption
- memory management
- data processing
- solar energy
- energy management
- random access
- computing power
- data structure
- convolutional network
- total energy
- energy efficiency
- energy consumption
- processing elements
- memory requirements
- memory usage
- associative memory
- multithreading
- power distribution
- fault tolerance
- energy conservation
- information processing
- real time
- electrical energy