Partitioning Distributed Compute Jobs with Reinforcement Learning and Graph Neural Networks.
Christopher W. F. ParsonsonZacharaya ShabkaAlessandro OttinoGeorgios ZervasPublished in: CoRR (2023)
Keyphrases
- neural network
- reinforcement learning
- partitioning algorithm
- graph partitioning
- multi agent
- pattern recognition
- graph theory
- distributed systems
- reinforcement learning algorithms
- function approximators
- graph structure
- load balance
- response time
- cooperative
- random walk
- structured data
- computational grids
- computing environments
- function approximation
- learning capabilities
- directed graph
- graph matching
- fuzzy logic
- genetic algorithm
- spectral graph
- vertex set
- graph representation
- weighted graph
- bipartite graph
- multilayer perceptron
- radial basis function
- peer to peer
- artificial neural networks