Automated Accelerator Optimization Aided by Graph Neural Networks.
Atefeh SohrabizadehYunsheng BaiYizhou SunJason CongPublished in: FPGA (2022)
Keyphrases
- neural network
- pattern recognition
- global optimization
- optimization algorithm
- genetic algorithm
- artificial neural networks
- graph representation
- graph model
- feed forward
- optimization model
- graph theory
- optimization methods
- neural network model
- optimization method
- optimization problems
- random walk
- multi layer
- highly non linear
- parallel implementation
- weighted graph
- recurrent neural networks
- fault diagnosis
- self organizing maps
- structured data
- graph structure
- connected components
- optimization process
- training process
- graph mining
- sufficient conditions
- spanning tree
- multi objective
- graph based algorithm
- directed graph