A Proposal of Kubernetes Scheduler Using Machine-Learning on CPU/GPU Cluster.
Ishak HarichaneSid Ahmed MakhloufGhalem BelalemPublished in: CSOC (1) (2020)
Keyphrases
- machine learning
- graphics processors
- graphics processing units
- gpu implementation
- real time
- heterogeneous computing
- artificial intelligence
- clustering algorithm
- data clustering
- learning algorithm
- explanation based learning
- active learning
- data mining
- personal computer
- scheduling algorithm
- cluster analysis
- decision trees
- machine learning methods
- parallel implementation
- machine learning approaches
- supervised learning
- hierarchical clustering
- unsupervised learning
- feature selection
- computer vision
- machine learning algorithms
- pattern recognition
- data points
- parallel processing
- general purpose
- parallel computing
- real time rendering
- multithreading
- parallel computation
- data analysis
- data transfer
- natural language
- supervised classification
- computer science
- inductive learning
- inductive logic programming
- information extraction
- hierarchical structure
- learning systems
- knowledge acquisition
- response time
- text mining
- natural language processing