Data-parallel primitives for spatial operations using PM quadtrees

Erik G. Hoe, H. Samet
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Abstract

Data-parallel primitives for performing operations on the PM/sub 1/ quadtree and the bucket PMR quadtree are presented using the scan model. Algorithms are described for building these two data structures that make use of these primitives. The data-parallel algorithms are assumed to be main-memory resident. They were implemented on a Thinking Machines CM-5 with 32 processors containing 1 GB of main memory.
使用PM四叉树的空间操作的数据并行原语
使用扫描模型给出了在PM/sub 1/四叉树和桶PMR四叉树上执行操作的数据并行原语。本文描述了利用这些原语构建这两种数据结构的算法。假设数据并行算法驻留在主存中。它们是在一台Thinking Machines的CM-5上实现的,它有32个处理器和1gb的主内存。
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