Performance Evaluation of Large-Scale Parallel Image Compositing on a T2K Open Supercomputer
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This paper presents a performance evaluation of large-scale parallel image compositing on a T2K Open Supercomputer. Traditional image compositing algorithms were not primarily designed for exploiting the combined message passing and the shared address space parallelism provided by systems such as T2K Open Supercomputer. In this study, we investigate the Binary-Swap image compositing method because of its promising potential for scalability. We propose some improvements to the Binary-Swap method aiming to fully exploit the hybrid programming model. We obtained encouraging results from the performance evaluation conducted on Todai Combined Cluster, aT2KOpen Supercomputer at the University of Tokyo. The proposed improvements have also shown a high potential to tackle the large-scale image compositing problem on leading-edge HPC systems where an ever increasing number of processing cores is involved.
This paper presents a performance evaluation of large-scale parallel image compositing on a T2K Open Supercomputer. Traditional image compositing algorithms were not primarily designed for exploiting the combined message passing and the shared address space parallelism provided by systems such as T2K Open Supercomputer. In this study, we investigate the Binary-Swap image compositing method because of its promising potential for scalability. We propose some improvements to the Binary-Swap method aiming to fully exploit the hybrid programming model. We obtained encouraging results from the performance evaluation conducted on Todai Combined Cluster, aT2KOpen Supercomputer at the University of Tokyo. The proposed improvements have also shown a high potential to tackle the large-scale image compositing problem on leading-edge HPC systems where an ever increasing number of processing cores is involved.
収録刊行物
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- 情報処理学会論文誌コンピューティングシステム(ACS)
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情報処理学会論文誌コンピューティングシステム(ACS) 2 (2), 122-130, 2009-07-02
東京 : 情報処理学会
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- CRID
- 1050001337894458112
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- NII論文ID
- 110007990236
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- NII書誌ID
- AA11833852
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- ISSN
- 18827829
- 18827772
- 03875806
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- NDL書誌ID
- 024315654
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- 本文言語コード
- en
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- article
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