TensorFlow on State-of-the-Art HPC Clusters: A Machine Learning use Case.
Guillem Ramirez-GargalloMarta Garcia-GasullaFilippo MantovaniPublished in: CCGRID (2019)
Keyphrases
- machine learning
- high performance computing
- clustering algorithm
- information extraction
- fuzzy clustering
- data mining
- machine learning algorithms
- hierarchical clustering
- support vector machine
- learning tasks
- cluster analysis
- artificial intelligence
- model selection
- machine learning approaches
- graph clustering
- explanation based learning
- arbitrary shape
- machine learning methods
- hierarchical structure
- learning systems
- knowledge acquisition
- computational intelligence
- computer vision
- pattern recognition
- neural network
- semi supervised learning
- feature selection
- decision trees
- reinforcement learning
- inductive learning
- fault tolerance
- fault tolerant
- data streams
- sensor networks
- object oriented
- text mining
- input data