In this work, a new deep collaborative SAR imaging method based on multiple CPU/GPU is proposed to achieve real-time SAR imaging. However, the computing capability of CPU is ignored and underestimated. In the classical GPU based imaging algorithm, GPU is employed to accelerate image processing by massive parallel computing, and CPU is only used to perform the auxiliary work such as data input/output (IO). Therefore, high performance computing (HPC) methods have been presented to accelerate SAR imaging, especially the GPU based methods. With the development of synthetic aperture radar (SAR) technologies in recent years, the huge amount of remote sensing data brings challenges for real-time imaging processing. Zhang, Fan Li, Guojun Li, Wei Hu, Wei Hu, Yuxin
Accelerating Spaceborne SAR Imaging Using Multiple CPU/GPU Deep Collaborative Computing.
