| 使用OpenCL技术的影像快速畸变纠正方法在异构平台上的应用分析 |
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| 引用本文： | 韦博文,李涛,李广宇,汪致恒,何沐,师悦龄,刘路遥,张瑞.使用OpenCL技术的影像快速畸变纠正方法在异构平台上的应用分析[J].计算机科学,2016,43(Z11):167-169, 196. |
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| 作者姓名： | 韦博文 李涛 李广宇 汪致恒 何沐 师悦龄 刘路遥 张瑞 |
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| 作者单位： | 西南交通大学地球科学与环境工程学院 成都611756,国家测绘地理信息局卫星测绘应用中心 北京100048,西南交通大学地球科学与环境工程学院 成都611756,西南交通大学地球科学与环境工程学院 成都611756,西南交通大学地球科学与环境工程学院 成都611756,西南交通大学地球科学与环境工程学院 成都611756,西南交通大学地球科学与环境工程学院 成都611756,西南交通大学地球科学与环境工程学院 成都611756 |
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| 基金项目： | 本文受国家自然科学基金(41474003),四川省应急测绘与防灾减灾工程技术研究中心开放基金(K2015B007)资助 |
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| 摘 要： | 针对海量遥感数据应用中日益显著的处理效率低下和计算瓶颈问题,基于通用计算机图形处理单元的编程开发使用OpenCL并行处理技术对遥感数据处理及其过程进行加速,旨在为遥感影像大数据处理提供一条更为高效的途径。在不同显卡平台上对影像畸变纠正实施并行处理,结果表明,OpenCL技术在提高影像畸变纠正的速度方面作用显著,可取得29.1倍的最高加速效果；与CUDA并行处理技术的交叉验证进一步凸显了OpenCL技术在异构平台上实施并行处理时所具有的通用性的优势。
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| 关 键 词： | OpenCL CUDA 并行处理 异构平台通用性 畸变纠正 |
Applied Analysis of Image Accelerating Distortion Correction of OpenCL Technology on Heterogeneous Platform |
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| WEI Bo-wen,LI Tao,LI Guang-yu,WANG Zhi-heng,HE Mu,SHI Yue-ling,LIU Lu-yao and ZHANG Rui.Applied Analysis of Image Accelerating Distortion Correction of OpenCL Technology on Heterogeneous Platform[J].Computer Science,2016,43(Z11):167-169, 196. |
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| Authors: | WEI Bo-wen LI Tao LI Guang-yu WANG Zhi-heng HE Mu SHI Yue-ling LIU Lu-yao and ZHANG Rui |
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| Affiliation: | Faculty of Geosciences and Environmental Engineering,Southwest Jiaotong University,Chengdu 611756,China,Satellite Surveying and Mapping Application Center,Beijing 100048,China,Faculty of Geosciences and Environmental Engineering,Southwest Jiaotong University,Chengdu 611756,China,Faculty of Geosciences and Environmental Engineering,Southwest Jiaotong University,Chengdu 611756,China,Faculty of Geosciences and Environmental Engineering,Southwest Jiaotong University,Chengdu 611756,China,Faculty of Geosciences and Environmental Engineering,Southwest Jiaotong University,Chengdu 611756,China,Faculty of Geosciences and Environmental Engineering,Southwest Jiaotong University,Chengdu 611756,China and Faculty of Geosciences and Environmental Engineering,Southwest Jiaotong University,Chengdu 611756,China |
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| Abstract: | According to the increasing problem of low processing efficiency and computational bottleneck in massive remote sensing data,for providing a more efficient approach of big data processing of remote sensing,using OpenCL pa-rallel processing technology can accelerate the processing of remote sensing image based on program of general purpose GPU.The analyses of test results on heterogeneous GPU platforms indicate that OpenCL technology can dramatically increase velocity of distortion calibration of image and can achieve 29.1 times best speedup.Comparing to parallel processing of CUDA suggests that using OpenCL technology on heterogeneous platform has a common superiority. |
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| Keywords: | OpenCL CUDA Parallel processing Heterogeneous platform commonality Distortion calibration |
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