Enabling Real-time AI Inference on Mobile Devices via GPU-CPU Collaborative Execution.
Hao LiJoseph K. NgTarek F. AbdelzaherPublished in: RTCSA (2022)
Keyphrases
- real time
- graphics processing units
- mobile devices
- gpu implementation
- general purpose
- graphics hardware
- gpu accelerated
- mobile phone
- artificial intelligence
- graphics processors
- parallel processing
- machine learning
- multithreading
- parallel implementation
- ai systems
- control system
- context aware
- mobile learning
- low cost
- desktop computers
- probabilistic inference
- limited memory
- feature tracking
- expert systems
- compute unified device architecture
- heterogeneous computing
- location based services
- programmable graphics hardware
- pc cluster
- collaborative learning
- bayesian networks
- graphic processing unit
- computing devices
- multi threaded
- data transfer
- mobile environments
- parallel computing
- efficient implementation
- computing systems
- smart phones
- mobile users