Energy Saving and Thermal Management Opportunities in a Workload-Aware MPI Runtime for a Scientific HPC Computing Node.
Daniele CesariniAndrea BartoliniLuca BeniniPublished in: PARCO (2017)
Keyphrases
- energy saving
- high performance computing
- energy efficiency
- air conditioning
- energy consumption
- natural resources
- computational science
- power consumption
- response time
- wireless sensor networks
- message passing interface
- energy efficient
- power saving
- energy conservation
- management system
- sensor networks
- massively parallel
- save energy
- remote monitoring
- global warming
- artificial intelligence
- control system
- data center
- computing systems
- smart home
- parallel algorithm
- carbon dioxide
- intelligent systems
- electricity consumption
- data processing
- power plant
- base station
- data sets