Decision support for GPU acceleration by predicting energy savings and programming effort.
Charalampos MarantosLazaros PapadopoulosAngeliki-Agathi TsintziraApostolos AmpatzoglouAlexander ChatzigeorgiouDimitrios SoudrisPublished in: Sustain. Comput. Informatics Syst. (2022)
Keyphrases
- decision support
- energy saving
- energy consumption
- power consumption
- energy management
- decision support system
- wireless sensor networks
- graphics processing units
- power saving
- decision making
- real time
- energy efficient
- decision makers
- product configuration
- programming language
- business intelligence
- data mining
- programming environment
- body sensor networks
- knowledge management
- data warehousing
- energy efficiency
- parallel implementation
- streaming video
- cancer treatment
- general purpose
- data warehouse
- data sets
- artificial intelligence
- knowledge discovery
- operating system
- parallel processing
- intelligent systems
- database