Name
Title | ||
|---|---|---|
A case study of OpenCL-based parallel programming for low-power remote sensing applications |
Abstract | ||
|---|---|---|
With the advent of high-performance embedded computing (HPEC) systems, many digital processing algorithms are now implemented by special-purpose massively parallel processors. In this paper, a low-power ARM/GPU co-design architecture is addressed using OpenCL-based parallel programming for implementing complex reconstructive signal processing operations. Such operations are accelerated using data-parallel functions on the GPU and ARM processor, in a HW/SW co-design scheme via OpenCL API calls. Experimental results shows the achieved computational performance and the effectiveness of the OpenCL standard comparing the framework against traditional parallel embedded versions. |
Year | DOI | Venue |
|---|---|---|
2015 | 10.1109/ICEEE.2015.7357959 | 2015 12th International Conference on Electrical Engineering, Computing Science and Automatic Control (CCE) |
Keywords | Field | DocType |
HPEC systems,OpenCL,remote sensing | Iterative reconstruction,ARM architecture,Signal processing,Computer science,Massively parallel,Parallel computing,Remote sensing application,General-purpose computing on graphics processing units,Signal processing algorithms,Embedded system | Conference |
Citations | PageRank | References |
0 | 0.34 | 6 |
Authors | ||
6 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| A. Castro Angulo | 1 | 0 | 0.34 |
| Roberto Carrasco-Alvarez | 2 | 28 | 5.80 |
| J. Ortegón-Aguilar | 3 | 1 | 1.03 |
| J. Vazquez Castillo | 4 | 8 | 4.59 |
| Orlando Palma Marrufo | 5 | 1 | 1.07 |
| Alejandro Castillo Atoche | 6 | 13 | 5.25 |