@article{ZHOU2011, 
author = {Bin ZHOU and Yingning PENG and Chunmao YEH and Jun TANG},
title = {GPGPU Accelerated Fast Convolution Back-Projection for Radar Image Reconstruction},
year = {2011},
journal = {Tsinghua Science and Technology},
volume = {16},
number = {3},
pages = {256-263},
keywords = {convolution back projection (CBP), synthetic aperture radar (SAR), inverse synthetic aperture radar (ISAR), general purpose graphic processing units (GPGPU)},
url = {https://www.sciopen.com/article/10.1016/S1007-0214(11)70037-2},
doi = {10.1016/S1007-0214(11)70037-2},
abstract = {This paper describes a parallel fast convolution back-projection algorithm design for radar image reconstruction. State-of-the-art general purpose graphic processing units (GPGPU) were utilized to accelerate the processing. The implementation achieves much better performance than conventional processing systems, with a speedup of more than 890 times on NVIDIA Tesla C1060 supercomputing cards compared to an Intel P4 2.4 GHz CPU. 256×256 pixel images could be reconstructed within 6.3 s, which makes real-time imaging possible. Six platforms were tested and compared. The results show that the GPGPU super-computing system has great potential for radar image processing.}
}