Name
Title | ||
|---|---|---|
A Deep Collaborative Computing Based SAR Raw Data Simulation on Multiple CPU/GPU Platform. |
Abstract | ||
|---|---|---|
The outstanding computing ability of a graphics processing unit (GPU) brings new vitality to the typical computing intensive issue, so does the synthetic aperture radar (SAR) raw data simulation, which is a fundamental problem in SAR system design and imaging research. However, the computing power of a CPU was underestimated, and the tunings for a CPU-based method were missing in the previous work... |
Year | DOI | Venue |
|---|---|---|
2017 | 10.1109/JSTARS.2016.2594272 | IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing |
Keywords | Field | DocType |
Synthetic aperture radar,Computational modeling,Data models,Graphics processing units,Collaboration,Multicore processing,Time-domain analysis | Central processing unit,Synthetic aperture radar,Computer science,Parallel computing,SIMD,General-purpose computing on graphics processing units,Graphics processing unit,Collaborative method,Multi-core processor,Speedup | Journal |
Volume | Issue | ISSN |
10 | 2 | 1939-1404 |
Citations | PageRank | References |
2 | 0.38 | 26 |
Authors | ||
6 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Fan Zhang | 1 | 42 | 7.62 |
| chen hu | 2 | 18 | 3.01 |
| Wei Li | 3 | 1088 | 88.08 |
| Wei Hu | 4 | 169 | 10.13 |
| Pengbo Wang | 5 | 45 | 18.11 |
| Heng-Chao Li | 6 | 343 | 40.03 |