Using Machine Learning to Estimate Utilization and Throughput for OpenCL-Based Matrix-Vector Multiplication (MVM).
Jannatun NaherClay GlosterChristopher C. DossShrikant S. JadhavPublished in: CCWC (2020)
Keyphrases
- machine learning
- sparse matrix
- resource utilization
- floating point
- response time
- matrix multiplication
- linear algebra
- artificial intelligence
- machine learning algorithms
- pattern recognition
- information extraction
- computer vision
- text classification
- parallel algorithm
- rows and columns
- eigenvalues and eigenvectors
- support vector machine
- dot product
- feature selection
- decision trees
- data structure
- kernel methods
- covariance matrix
- computer science
- active learning
- text mining
- natural language processing