Title :
Optimizing Satellite Monitoring of Volcanic Areas Through GPUs and Multi-Core CPUs Image Processing: An OpenCL Case Study
Author :
Bilotta, Giuseppe ; Sanchez, Ricardo Zanmar ; Ganci, Gaetana
Author_Institution :
Dipt. di Mat. e Inf., Univ. di Catania, Catania, Italy
Abstract :
Satellite image processing algorithms often offer a very high degree of parallelism (e.g., pixel-by-pixel processing) that make them optimal candidates for execution on high-performance parallel computing hardware such as modern graphic processing units (GPUs) and multicore CPUs with vector processing capabilities. By using the OpenCL computing standard, a single implementation of a parallel algorithm can be deployed on a wide range of hardware platforms. However, achieving the best performance on each individual platform may still require a custom implementation. We show some possible approaches to the optimization of satellite image processing algorithms on a range of different platforms, discussing the implementation in OpenCL of the classic Brightness Temperature Difference ash-cloud detection algorithm.
Keywords :
geophysical image processing; geophysical techniques; geophysics computing; graphics processing units; remote sensing; OpenCL case study; OpenCL computing standard; classic Brightness Temperature Difference ash-cloud detection algorithm; high-performance parallel computing hardware; modern graphic processing units; multicore CPU image processing:; satellite image processing algorithms; vector processing capabilities; volcanic area satellite monitoring; Algorithms; Graphics processing units; Image processing; Performance evaluation; Runtime; Satellites; Image processing; parallel programming; remote sensing; satellites;
Journal_Title :
Selected Topics in Applied Earth Observations and Remote Sensing, IEEE Journal of
DOI :
10.1109/JSTARS.2013.2255261