GARLSched: Generative adversarial deep reinforcement learning task scheduling optimization for large-scale high performance computing systems.
Jingbo LiXingjun ZhangJia WeiZeyu JiZheng WeiPublished in: Future Gener. Comput. Syst. (2022)
Keyphrases
- computing systems
- reinforcement learning
- scientific computing
- computing technologies
- high performance computing
- computer systems
- highly parallel
- multi agent
- autonomic computing
- parallel computing
- autonomic computing systems
- processing units
- computing platform
- generative model
- ubiquitous computing environments
- real world
- high end
- software developers
- graphics processing units
- parallel architectures
- source code
- user interface