Detection of Single Scatterers in SAR Tomography using Multi-GPU Platforms

In this paper, we present a parallel computing strategy for the detection of single scatterers in SAR tomography, specifically targeted to multi-node, multi-GPU platforms. In particular, we refer to an existing processing scheme based on the Generalized Likelihood Ratio Test (GLRT), which is considered a reference canonical problem for our investigation. To tackle this problem, a dedicated parallel algorithm is developed according to High-Performance Computing (HPC) methodologies. To quantitatively demonstrate the benefits of the multi-level parallelism incorporated into the proposed algorithm, an experimental analysis using real SAR data is conducted on a large distributed computational platform. The results show significant speedup, indicating that the proposed solution maintains excellent performance as both the problem size and computational resources increase.