Implementation of Digital Holographic Convolutional Reconstruction Algorithm Based on Open Computing Language Acceleration

LUO Hongyan; ZHOU Luoyi; ZHAO Zhen; GUO Hong; FENG Xiaobo

doi:10.11999/JEIT210693

Volume 44 Issue 9

Sep. 2022

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Article Navigation > Journal of Electronics & Information Technology > 2022 > 44(9): 3258-3265

LUO Hongyan, ZHOU Luoyi, ZHAO Zhen, GUO Hong, FENG Xiaobo. Implementation of Digital Holographic Convolutional Reconstruction Algorithm Based on Open Computing Language Acceleration[J]. Journal of Electronics & Information Technology, 2022, 44(9): 3258-3265. doi: 10.11999/JEIT210693

Citation:

LUO Hongyan, ZHOU Luoyi, ZHAO Zhen, GUO Hong, FENG Xiaobo. Implementation of Digital Holographic Convolutional Reconstruction Algorithm Based on Open Computing Language Acceleration[J]. Journal of Electronics & Information Technology, 2022, 44(9): 3258-3265. doi: 10.11999/JEIT210693

Citation:

LUO Hongyan, ZHOU Luoyi, ZHAO Zhen, GUO Hong, FENG Xiaobo. Implementation of Digital Holographic Convolutional Reconstruction Algorithm Based on Open Computing Language Acceleration[J]. Journal of Electronics & Information Technology, 2022, 44(9): 3258-3265. doi: 10.11999/JEIT210693

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Implementation of Digital Holographic Convolutional Reconstruction Algorithm Based on Open Computing Language Acceleration

doi: 10.11999/JEIT210693

1.
Institute of Bioengineering, Chongqing University, Chongqing 400044, China
2.
Key Laboratory of Bioheological Science and Technology, Chongqing 400044, China

Funds: The National Natural Science Foundation of China (Z20190224), The Graduate Research and Innovation Foundation of Chongqing, China (CYS19056)

Received Date: 2021-07-12
Rev Recd Date: 2022-07-04

Available Online: 2022-07-05

Publish Date: 2022-09-19

Abstract

Abstract

In view of the problems of slow calculation speed of digital holographic reconstruction algorithm, weak real-time application ability and poor cross-platform portability of existing GPU acceleration strategies, a scheme is proposed based on Open Computing Language (OpenCL) architecture to improve the execution efficiency of digital holographic reconstruction algorithm. In more details, the heterogeneous collaborative computing capabilities of the OpenCL architecture is fully used to design a CPU+GPU heterogeneous operation for the digital holographic convolutional reconstruction algorithm, which is programmed in the data parallel mode. The tests are carried out on the digital holograms in various image resolutions and on the different GPU acceleration platforms. The results indicate that the average execution time of this acceleration strategy is approximately an order of magnitude lower than that of the CPU, the highest total acceleration ratio is 54.2, and the parallel computing acceleration ratio even reaches up to 94.7. Characterized by a scale growth, good cross-platform portability and significant acceleration efficiency, it is more suitable for the engineering realization of digital holographic technology, especially in the real-time applications.
- Digital holography,
- Reconstruction algorithm,
- Open Computing Language (OpenCL),
- Parallel computing

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References(20)

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