Dynamic data driven image reconstruction using multiple GPUs

A. Wijayasiri, Tania Banerjee-Mishra, S. Ranka, S. Sahni, M. Schmalz
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引用次数: 6

Abstract

The reconstruction of nxn-pixel Synthetic Aperture Radar imagery using Back Projection algorithm incurs O(n2·m) cost, where m is the number of pulses. This paper presents dynamic data driven multiresolution algorithms to speed up SAR backprojection on multiple GPUs. A critical part of this spatially variant reconstruction process is load balancing, which circumvents asymmetric work assignment. Our algorithms achieve 15 TFLOPS using 128 GPUs.
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使用多个gpu的动态数据驱动图像重建
利用反投影算法重建nxn像素合成孔径雷达图像的成本为O(n2·m),其中m为脉冲数。本文提出了一种动态数据驱动的多分辨率算法,以提高SAR在多个gpu上的反投影速度。这种空间变异重建过程的一个关键部分是负载平衡,它规避了不对称的工作分配。我们的算法使用128个gpu实现15 TFLOPS。
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