A Deep Learning Mapper (DLM) for Scheduling on Heterogeneous Systems.
Daniel NemirovskyTugberk ArkoseNikola MarkovicMario NemirovskyOsman S. UnsalAdrián CristalMateo ValeroPublished in: CARLA (2017)
Keyphrases
- deep learning
- heterogeneous systems
- grid environment
- distributed architecture
- unsupervised learning
- scheduling algorithm
- scheduling problem
- application developers
- computing systems
- resource allocation
- machine learning
- parallel architectures
- web services
- legacy systems
- weakly supervised
- multiple types
- processing units
- parallel computing
- parallel machines
- mental models
- real world
- decision support system
- supervised learning
- decision making
- data mining