| CUDA加速的地图代数并行算法 |
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| 引用本文： | 张剑波,周斯波,张帅.CUDA加速的地图代数并行算法[J].桂林工学院学报,2011,31(1):139-143. |
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| 作者姓名： | 张剑波 周斯波 张帅 |
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| 作者单位： | 中国地质大学信息工程学院; |
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| 基金项目： | 国家自然科学基金项目(41001225) |
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| 摘 要： | 针对传统地图代数实现方法应用于海量栅格数据计算时效率低下的问题,在一种全新的GPU并行编程模型CUDA上,利用地图代数算子体现出来的基于栅格点集、处理流程相对固定、数据处理具有内在的并行性等特点,将传统的串行算法映射到GPU并行处理架构上,旨在从串行算法的并行化映射、计算机图形处理器资源的自适应参数调整等多角度来研究地图代数空间并行算法的实现机制,为空间分析算法的优化研究提供一种新的解决思路。
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| 关 键 词： | 地图代数 统一计算设备架构（CUDA） 并行计算 |
CUDA-Accelerated Parallel Algorithms for Map Algebra |
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| ZHANG Jian-bo,ZHOU Si-bo,ZHANG Shuai.CUDA-Accelerated Parallel Algorithms for Map Algebra[J].Journal of Guilin University of Technology,2011,31(1):139-143. |
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| Authors: | ZHANG Jian-bo ZHOU Si-bo ZHANG Shuai |
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| Affiliation: | ZHANG Jian-bo,ZHOU Si-bo,ZHANG Shuai(Faculty of Information Engineering,China University of Geosciences,Wuhan 430074,China) |
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| Abstract: | To improve the efficiency in traditional method of map algebra calculation for gigantic raster data,arithmetic operators characteristics are applied,including relatively fixed process flow and inherently parallel specialty,and a new GPU parallel programming model named CUDA is selectsed as technique supports.The realization mechanism surrounding parallel mapping of serial algorithms is discussed in adaptive parameter adjustments on computer graphic processor resources,thus providing a new solution for optim... |
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| Keywords: | map algebra compute unified device architecture(CUDA) parallel computation |
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