A Processor Selection Method based on Execution Time Estimation for Machine Learning Programs.
Kou MurakamiKazuhiko KomatsuMasayuki SatoHiroaki KobayashiPublished in: IPDPS Workshops (2021)
Keyphrases
- machine learning
- machine learning methods
- support vector machine
- high accuracy
- cost function
- computationally efficient
- preprocessing
- selection strategy
- experimental evaluation
- high precision
- parallel processing
- maximum likelihood estimation
- computational complexity
- objective function
- similarity measure
- markov random field
- estimation algorithm
- estimation accuracy
- detection method
- clustering method
- em algorithm
- feature vectors
- pairwise
- decision trees