JOURNAL OF LIGHT INDUSTRY

CN 41-1437/TS  ISSN 2096-1553

Volume 34 Issue 2
March 2019
Article Contents
WU Huaiguang, LIU Linlin, SHI Yongsheng, et al. Research on parallelization of Gridding algorithm in ARL[J]. Journal of Light Industry, 2019, 34(2): 82-87. doi: 10.3969/j.issn.2096-1553.2019.02.011
Citation: WU Huaiguang, LIU Linlin, SHI Yongsheng, et al. Research on parallelization of Gridding algorithm in ARL[J]. Journal of Light Industry, 2019, 34(2): 82-87. doi: 10.3969/j.issn.2096-1553.2019.02.011 shu

Research on parallelization of Gridding algorithm in ARL

  • Received Date: 2018-12-13
  • Aiming at the low real-time processing efficiency of massive astronomical data, through time-consuming analysis of gridding algorithm in SKA image acquisition and imaging ARL library, two functions of convolutional-grid and convolutional-degrid with high frequency and long running time were found out in this algorithm. Then, two functions were parallelized on GPU by multi-threading to realize the cooperative operation of gridding algorithm on GPU and CPU. The experimental results showed that under the same amount of data, the running time of the improved gridding algorithm was greatly shortened, especially when dealing with massive data, the overall running efficiency of ARL was effectively improved.
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