Convolutional neural nets for estimating the run time and energy consumption of the sparse matrix-vector product.
Maria BarredaManuel F. DolzM. Asunción CastañoPublished in: Int. J. High Perform. Comput. Appl. (2021)
Keyphrases
- sparse matrix
- energy consumption
- neural nets
- wireless sensor networks
- energy efficiency
- energy efficient
- energy saving
- sensor networks
- feed forward
- neural network
- energy conservation
- back propagation
- artificial neural networks
- routing protocol
- data center
- learning tasks
- random projections
- sensor nodes
- routing algorithm
- floating point
- machine learning
- data sets