TASO: Time and Space Optimization for Memory-Constrained DNN Inference.
Yuan WenAndrew AndersonValentin RaduMichael F. P. O'BoyleDavid GreggPublished in: SBAC-PAD (2020)
Keyphrases
- optimization algorithm
- concave convex procedure
- low dimensional
- global optimization
- memory requirements
- higher dimensional
- computational power
- dual decomposition
- discrete optimization
- lagrange multipliers
- space requirements
- computing power
- optimization problems
- neural network
- optimization model
- real time
- bayesian inference
- probabilistic inference
- associative memory
- linear space
- saddle point
- cost function