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Massively parallel algorithms for real-time wavefront control of a dense adaptive optics system

机译:大规模并行算法,用于密集自适应光学系统的实时波前控制

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Abstract: Massively parallel algorithms and architectures for real-time wavefront control of a dense adaptive optic system (SELENE) are presented. We have already shown that the computation of a near optimal control algorithm for SELENE can be reduced to the solution of a discrete Poisson equation on a regular domain. Although this represents an optimal computation, due to the large size of the system and the high sampling rate requirement, the implementation of this control algorithm poses a computationally challenging problem since it demands a sustained computational throughput of the order of 10 GFlops. We develop a novel algorithm, designated as Fast Invariant Imbedding algorithm, which offers a massive degree of parallelism with simple communication and synchronization requirements. We also discuss two massively parallel, algorithmically specialized, architectures for low-cost and optimal implementation of the Fast Invariant Imbedding algorithm. !18
机译:摘要:提出了一种用于密集自适应光学系统(SELENE)的实时波前控制的大规模并行算法和体系结构。我们已经表明,可以将SELENE的近似最佳控制算法的计算简化为规则域上离散Poisson方程的解。尽管这代表了最佳的计算,但是由于系统规模大和要求高采样率,该控制算法的实现带来了计算上的挑战性问题,因为它需要10 GFlop量级的持续计算吞吐量。我们开发了一种新颖的算法,称为快速不变嵌入算法,该算法可提供高度的并行性,并具有简单的通信和同步要求。我们还将讨论两种大规模并行的,算法专用的体系结构,以实现低成本和快速不变嵌入算法的最佳实现。 !18

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