Lei Bin, Ding Chi-biao, Wu Yi-rong. Performance Analysis and Optimization of SAR Imaging on HPC Platforms[J]. Journal of Electronics & Information Technology, 2004, 26(8): 1245-1249.
Citation:
Lei Bin, Ding Chi-biao, Wu Yi-rong. Performance Analysis and Optimization of SAR Imaging on HPC Platforms[J]. Journal of Electronics & Information Technology, 2004, 26(8): 1245-1249.
Lei Bin, Ding Chi-biao, Wu Yi-rong. Performance Analysis and Optimization of SAR Imaging on HPC Platforms[J]. Journal of Electronics & Information Technology, 2004, 26(8): 1245-1249.
Citation:
Lei Bin, Ding Chi-biao, Wu Yi-rong. Performance Analysis and Optimization of SAR Imaging on HPC Platforms[J]. Journal of Electronics & Information Technology, 2004, 26(8): 1245-1249.
High Performance Computing (HPC) system is an important part of a modern SAR processing system. SAR imaging has its specific characteristics compared with other HPC problems. It performs with great difference on different HPC architectures. The effects on SAR imaging performance by every part of the HPC architecture are analyzed on this paper. Based on this analysis, some benchmarking could be made to more accurately predict the SAR imaging performance on a multi-nodes environment. Prom these benchmarks, the effective way to optimize the SAR imaging could be found.
Raney R K,Runge H,Bamler R,Cumming I G,Wong F H.Precision SAR processing using chirp scaling.IEEE Trans.on Geoscience and Remote Sensing.1994,32(4):786-799.[2]Ding Chibiao,et al..Large beamwidth spaceborne SAR processing using chirp scaling.IGARSS99,Hamburg,Germany.1999,Vol.1:527-529.[3]Intel.Intel Pentium 4 and Intel Xeon Processor Optimization Reference Manual.2002.[4]Intel.IA-32 Intel Architecture Software Developers Manual.2002.[5]SGI.Performance Tuning Optimization for Origin 2000 and Onyx2.1997.[6]Duhamel P,Holtmann H.Split-radix FFT algorithm[J].Electronics Letters.1984,20(1):14-16[7]Intel.Approximate Math Library for Intel Streaming SIMD Extensions.Oct.2000.