Towards Budget-Driven Hardware Optimization for Deep Convolutional Neural Networks Using Stochastic Computing.
Zhe LiJi LiAo RenCaiwen DingJeffrey DraperQinru QiuBo YuanYanzhi WangPublished in: ISVLSI (2018)
Keyphrases
- convolutional neural networks
- stochastic optimization
- low cost
- stochastic programming
- stochastic search
- constrained optimization
- jump diffusion process
- efficient computation
- global optimization
- optimization problems
- combinatorial optimization
- optimization algorithm
- multiscale
- optimization model
- discrete optimization
- monte carlo
- hardware implementation
- optimal control problems
- monte carlo sampling
- bayesian networks
- multistage
- budget constraints
- vlsi implementation
- hardware architecture
- signal processing
- data driven
- learning automata
- stochastic model
- computing power
- computer systems
- neural network
- optimization process
- optimization method