Fast calculation by auto-optimized method in CGH video generation using GPU

Hayato Sakai; Yuji Sakamoto

doi:10.1117/12.2545879

21 February 2020 Fast calculation by auto-optimized method in CGH video generation using GPU

Hayato Sakai, Yuji Sakamoto

Proceedings Volume 11306, Practical Holography XXXIV: Displays, Materials, and Applications; 113060S (2020) https://doi.org/10.1117/12.2545879
Event: SPIE OPTO, 2020, San Francisco, California, United States

Abstract

Computer-generated hologram (CGH) can generate an ideal 3D video, but the downside is that the calculation time is huge. Recently, it is becoming more common to use a graphics processing unit (GPU) to enable fast calculation for CGH. Therefore, we have created a system that automatically changes various parameters in the CGH calculation by the GPU, searches for optimal parameters, and performs automatic tuning. In this work, we optimized four parameters-loop unrolling, memory structure, point light source sparsity, and allocation of calculation processing units-and found that the calculation time was 1.8 times faster as a result of the optimization.

Citation Download Citation

Hayato Sakai and Yuji Sakamoto "Fast calculation by auto-optimized method in CGH video generation using GPU", Proc. SPIE 11306, Practical Holography XXXIV: Displays, Materials, and Applications, 113060S (21 February 2020); https://doi.org/10.1117/12.2545879

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