Modeling Interprocessor Communication and Performance Scalability for Distributed Deep Learning Systems.
Yi-Hong LyuCheng-Yueh LiuChen-Pang LeeChia-Heng TuShih-Hao HungPublished in: HPCS (2019)
Keyphrases
- learning systems
- fully distributed
- communication overhead
- single point of failure
- computer supported
- machine learning
- fault tolerance
- communication cost
- learning environment
- learning resources
- learning process
- learning styles
- computer networks
- fault tolerant
- adaptive systems
- learning materials
- distributed control
- human learning
- open systems
- statistical machine learning
- load balance
- databases
- peer to peer
- high scalability
- real world
- multi agent
- multi party
- distributed systems
- computing environments
- mobile agents