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The Parallel Algorithms of Wavefront Computing in Adaptive Optics

Chen Yan Kong Tiesheng Liang Diannong (National University of Defense Technology, Department of Electronic Engineering, Changsha 410073)  
In adaptive optics system, wavefront computation refers to a class of processing consisting of wavefront slope computation, wavefront reconstruction and wavefront control algorithm. We studied the realization of the optimization mapping of the wavefront computing algorithm from the representive layer to the architecture layer. Two SIMD based parallel algorithms, the doubling algorithm and the partitioning algorithm are proposed according to the existing parallel computing theory. On the basis above, the MAC cycle and I/O cycle are used to scale the performance of the two algorithms. Their computing efficiencies on the SIMD array processor are analyzed and compared in detail.
【Fund】: 国家科委863高科技项目
【CateGory Index】: O437
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