Communication Optimization for Distributed Execution of Graph Neural Networks.
Süreyya Emre KurtJinghua YanAravind Sukumaran-RajamPrashant PandeyP. SadayappanPublished in: IPDPS (2023)
Keyphrases
- neural network
- communication overhead
- concurrent processes
- communication cost
- computer networks
- fully distributed
- distributed systems
- spatially distributed
- distributed control
- distributed computation
- graph structure
- pattern recognition
- graph theory
- graph model
- optimization method
- optimization algorithm
- directed acyclic graph
- distributed network
- computational grids
- multimedia communication
- artificial neural networks
- multi party
- graph representation
- graph mining
- peer to peer
- concurrent execution
- graph matching
- distributed environment
- structured data
- computing environments
- fuzzy logic
- mobile agents
- directed graph
- execution plan
- information dissemination
- back propagation
- optimization problems
- communication networks
- lightweight
- global knowledge
- execution engine
- multi agent systems
- evolutionary algorithm
- cooperative
- highly non linear
- parallel execution
- sensor networks
- plan execution
- spanning tree
- communication systems
- recurrent neural networks
- neural network model
- information sharing