A Data-Driven Frequency Scaling Approach for Deadline-aware Energy Efficient Scheduling on Graphics Processing Units (GPUs).
Shashikant IlagerRajeev MuralidharKotagiri RamamohanaraoRajkumar BuyyaPublished in: CCGRID (2020)
Keyphrases
- graphics processing units
- energy efficient
- data driven
- scheduling algorithm
- general purpose
- parallel machines
- wireless sensor networks
- energy consumption
- energy efficiency
- sensor networks
- parallel computing
- parallel processing
- gpu implementation
- parallel computation
- high performance computing
- computing systems
- real time
- parallel implementation
- response time
- graphics hardware
- massively parallel
- efficient implementation
- floating point
- scheduling problem
- parallel programming
- base station
- resource allocation
- graphics processors
- compute unified device architecture
- commodity hardware
- processing units
- parallel architectures
- information systems
- data transmission
- routing protocol
- parallel algorithm
- cpu implementation