Sparse-DySta: Sparsity-Aware Dynamic and Static Scheduling for Sparse Multi-DNN Workloads.
Hongxiang FanStylianos I. VenierisAlexandros KourisNicholas D. LanePublished in: CoRR (2023)
Keyphrases
- high dimensional
- sparse representation
- sparsity constraints
- sparse data
- sparse approximation
- compressed sensing
- mixed norm
- learning algorithm
- scheduling problem
- support vector machine
- sparse matrix
- dictionary learning
- dynamic environments
- compressive sampling
- sparse reconstruction
- real time
- computer systems
- image classification
- information systems
- neural network
- databases