Name
Abstract | ||
|---|---|---|
This paper evaluates the potential of embedded graphic processing units (GPU) in the Nvidia's Tegra K1 for onboard processing. The performance is compared to a general purpose multicore central processing unit (CPU), a full-fledge GPU accelerator, and an Intel Xeon Phi coprocessor, for two representative potential applications, wavelet spectral dimension reduction of hyperspectral imagery and auto... |
Year | DOI | Venue |
|---|---|---|
2016 | 10.1109/JSTARS.2016.2558492 | IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing |
Keywords | Field | DocType |
Graphics processing units,Clouds,Hyperspectral imaging,Hardware,Power demand | Central processing unit,Dimensionality reduction,Xeon Phi,Computer science,Parallel computing,Remote sensing,Algorithm,Hyperspectral imaging,Xeon,Digital image processing,Multi-core processor,Wavelet | Journal |
Volume | Issue | ISSN |
9 | 12 | 1939-1404 |
Citations | PageRank | References |
0 | 0.34 | 0 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Lubomir Riha | 1 | 39 | 14.31 |
| Jacqueline Le Moigne | 2 | 253 | 32.19 |
| tarek elghazawi | 3 | 697 | 84.30 |