Improving Energy Efficiency of Coarse-Grain Reconfigurable Arrays Through Modulo Schedule Compression/Decompression.
Hochan LeeMansureh S. MoghaddamDongkwan SuhBernhard EggerPublished in: ACM Trans. Archit. Code Optim. (2018)
Keyphrases
- coarse grain
- energy efficiency
- fine grain
- compression ratio
- power consumption
- energy consumption
- wireless sensor networks
- compression algorithm
- image compression
- data center
- sensor networks
- response time
- routing protocol
- high performance computing
- image quality
- scheduling problem
- parallel computation
- scheduling algorithm
- smart home
- sensor nodes
- multithreading
- distributed memory
- query processing
- computational intelligence
- data transmission
- bitstream
- databases
- data collection
- computer vision