题目/Title：GPU Accelerated Space-Time Adaptive Processing

作者/Author：聂建亮,邓仰东,亢康,谢翔,孟华东
                        Jianliang Nie,Yangdong Deng,Kang Kang,Xiang Xie,Huadong Meng

会议/Conference：HPCS 2012 

地点/Location：Madrid, Spain

年份/Issue Date：2012.2-6 July

页码/pages：pp. 475

摘要/Abstract：
Space-time adaptive processing (STAP) is an essential technique for such key applications as next generation airborne early warning and control system (AWACS) radars. In this paper, we develop an efficient GPU-accelerated solution for a complete STAP backend. Especially, we propose a data parallel procedure and its GPU implementation for the inversion of Hermitian matrices, which is the bottleneck of STAP. Our GPU solution achieves a speedup of up to 125X against its CPU counterpart and outperforms a FPGA implementation by a factor of over 20. The speedup can be translated to a higher computing throughput and/or an enhanced level of accuracy. The matrix inversion techniques can also be applied to other important scientific and engineering domains.