【data-intensive_computing】什么意思_英语data-intensive_computing的翻译_音标_读音_用法_例句_在线翻译

data-intensive computing

数据密集型计算

Data-intensive computing 数据密集型计算 收藏 Computing Finance 计算金融收藏 .

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Data Intensive Super Computing 数据密集型的超级计算

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abstract: Data-intensive computing is a class of parallel computing applications which use a data parallel approach to processing large volumes of data typically terabytes or petabytes in size and typically referred to as Big Data. Computing applications which devote most of their execution time to computational requirements are deemed compute-intensive and typically require small volumes of data, whereas computing applications which require large volumes of data and devote most of their processing time to I/O and manipulation of data are deemed data-intensive.

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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。

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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。

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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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