An efficient data organization for parallel algorithmic design of cartographic database

R. Dasgupta, S. Bhattacharya
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Abstract

Summary form only given. The authors propose an efficient data organization for the storage and subsequent retrieval of large volume of cartographic data. The concept of address squares has been used extensively. The inherent parallelism in the data has been explored in order to improve computational efficiency. Several parallel algorithms related to the analysis of the cartographic data based on the proposed data organisation, have also been presented.<>
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面向地图数据库并行算法设计的高效数据组织
只提供摘要形式。作者提出了一种有效的数据组织,用于存储和后续检索大量的地图数据。地址广场的概念被广泛使用。为了提高计算效率,研究了数据的内在并行性。本文还提出了几种与基于所提出的数据组织的制图数据分析相关的并行算法。
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