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.
Yong Huang, Xiao Lin, and Xiaodi Tan, "Graphics processing unit accelerated numerical model for collinear holographic data storage system," Proc. SPIE 10127, Practical Holography XXXI: Materials and Applications, 101270K (Presented at SPIE OPTO: January 31, 2017; Published: 6 April 2017); https://doi.org/10.1117/12.2251280.
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