Abstract CUDA is a parallel computing architecture introduced by NVIDIA, it mainly used for large scale data-intensive computing.
摘要CUDA是一种由NVIDIA推出的并行计算架构，非常适合大规模数据密集型计算。
Data Grid is widely used in data-intensive computing, which provide rapid information retrieval and data access support for large amounts of distributed storage data resources.
数据网格广泛应用于数据密集型计算，为大数据量、分布存储数据资源提供快速的信息检索和数据访问的支持。
Considering most GIS buffer analysis is data intensive computing, the task was decomposed according to the map layer and geographic spatial area.
考虑到大多数地理信息系统中缓冲区分析数据的特点，提出了基于图层和地理空间区域的任务分解方法。
Considering most GIS buffer analysis is data intensive computing, the task was decomposed according to the map layer and geographic spatial area.
考虑到大多数地理信息系统中缓冲区分析数据的特点，提出了基于图层和地理空间区域的任务分解方法。
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