On the performance and energy-efficiency of multi-core SIMD CPUs and CUDA-enabled GPUs.
Ronald DuarteResit SendagFrederick J. VetterPublished in: IISWC (2013)
Keyphrases
- energy efficiency
- single instruction multiple data
- parallel processing
- power consumption
- energy consumption
- graphics processors
- wireless sensor networks
- graphics processing units
- parallel implementation
- parallel programming
- data center
- energy efficient
- sensor networks
- parallel algorithm
- high performance computing
- gpu implementation
- general purpose
- massively parallel
- energy saving
- smart home
- response time
- routing protocol
- energy aware
- highly parallel
- real time
- power saving
- energy conservation
- power management
- parallel computation
- graphics hardware
- commodity hardware
- parallel architectures
- energy management
- traffic load
- cloud computing
- parallel computing
- sensor nodes
- low cost
- wireless sensor
- reduce the energy consumption
- base station
- computer vision
- memory bandwidth
- limited resources
- processing units
- data transmission
- artificial intelligence