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Graphics processing unit accelerated numerical model for collinear holographic data storage system

机译:共线全息数据存储系统的图形处理单元加速数值模型

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Collinear holographic data storage system is a promising candidate for next-generation storage technique. Numerical simulation plays a vital role in the process of revealing physical insight into the effectiveness of proposed methods and providing guidance for further system optimization. In this work, we demonstrated a GPU accelerated numerical model for image formation in collinear holographic data storage system. An average 125 times speedup with 99.8% accuracy was achieved with our accelerated model compared to conventional CPU based simulation. Applications of our model for collinear holographic data storage system such as wavelength drift compensation and noise study were demonstrated.
机译:共线全息数据存储系统是下一代存储技术的有希望的候选者。在揭示对所提出方法的有效性的物理洞察力以及为进一步的系统优化提供指导的过程中,数值模拟起着至关重要的作用。在这项工作中,我们演示了用于共线全息数据存储系统中图像形成的GPU加速数值模型。与传统的基于CPU的仿真相比,我们的加速模型可实现平均125倍的加速和99.8%的精度。演示了我们的模型在共线全息数据存储系统中的应用,例如波长漂移补偿和噪声研究。

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