A case study of OpenCL-based parallel programming for low-power remote sensing applications.
A. Castro AnguloRoberto Carrasco-AlvarezJaime Ortegón-AguilarJ. Vazquez CastilloOrlando Palma MarrufoAlejandro Castillo AtochePublished in: CCE (2015)
Keyphrases
- remote sensing
- parallel programming
- low power
- parallel algorithm
- high speed
- power consumption
- low cost
- parallel computing
- parallel processing
- shared memory
- image analysis
- multispectral
- programming environment
- cloud computing
- high resolution
- image processing
- parallel computation
- processing units
- massively parallel
- design patterns
- cmos technology
- graphics processing units
- data center
- image segmentation