Performance and Energy Efficiency of CUDA and OpenCL for GPU Computing Using Python.
Håvard H. HolmAndré R. BrodtkorbMartin Lilleeng SætraPublished in: PARCO (2019)
Keyphrases
- energy efficiency
- graphics processing units
- energy consumption
- power consumption
- parallel computing
- high performance computing
- wireless sensor networks
- parallel programming
- compute unified device architecture
- gpu implementation
- sensor networks
- data center
- parallel implementation
- energy efficient
- graphics processors
- graphics hardware
- shared memory
- gpu accelerated
- parallel computation
- parallel algorithm
- power saving
- energy management
- general purpose
- power management
- energy conservation
- routing protocol
- response time
- energy aware
- energy saving
- wireless sensor
- traffic load
- parallel processing
- graphic processing unit
- general purpose computing
- real time
- data transmission
- computing systems
- programming language
- smart home
- sensor nodes
- topology control
- data management
- battery powered
- query processing
- computer vision
- data sets