Given two layers of large polygonal datasets, detecting those pairs of cross-layer polygons
which satisfy a join predicate, such as intersection or contain, is one of the most …

With the increasing volume of spatial data, conventional vector data buffer analysis
algorithms cannot meet the demands of fast data processing, so parallel computing is …

This paper proposes an open-source algorithm that performs parallel processing of spatial
queries, during which an initial selection of objects to be subjected to spatial relationship …

Abstrak Metode Self-Organizing Map (SOM) merupakan suatu metode Jaringan Syaraf
Tiruan yang diperkenalkan oleh Professor Teuvo Kohonen pada tahun 1980-an, sebagai …

We summarize the need and present our vision for accelerating geo-spatial computations
and analytics using a combination of shared and distributed memory parallel platforms, with …

Polygon intersection is an important spatial data-handling process, on which many spatial
operations are based. However, this process is computationally intensive because it …

准确地识别城市化进程中建设用地的变化情况及其背后的驱动力, 对城市后续的可持续发展具有
重要意义. 本文首先以2000—2020 年遥感影像为基础, 对太原市建设用地空间分布变化进行 …

Emerging computer architectures and systems that combine multi‐core CPUs and
accelerator technologies, like many‐core Graphic Processing Units (GPUs) and Intel's Many …

目的大数据时代, 需要对海量空间数据更快速地建立高效索引, 使用递归排序网格(STR)
方法构建的R 树具有优秀的查询性能, 但构建效率不高. 本文利用基于计算机图形处理器(GPU) …

This research develops a parallel scheme to adopt multiple graphics processing units
(GPUs) to accelerate large‐scale polygon rasterization. Three new parallel strategies are …