Dec 28, 2017 · ML-Octree significantly reduces the update costs of one simulation involving massive 3D moving objects. Towards providing a more efficient ...

In this paper, we propose an update-efficient indexing structure for managing massive 3D moving objects in large-scale simulations.

Jan 2, 2018 · In this three-dimensional space, the distance similarity between research objects is used to replace the actual space-time similarity; (2) For ...

The experimental results indicate that ML-Octree can acquire the update-performance gain of an order of magnitude similar to that of Octree, ...

ML-Octree significantly reduces the update costs of one simulation involving massive 3D moving objects. Towards providing a more efficient indexing approach, ...

The loose quadtree (octree) overcomes this drawback by expanding the size of the space that is spanned by each quadtree (octree) cell c of width w by a cell ...

A GPU-aware parallel indexing method called G-tree [11] ... G-ML-Octree: An update-efficient index structure for simulating 3D moving objects across GPUs.

This paper focuses on one of the most time-costly data structures: the two-dimensional spatial index. A drawback of using popular two-dimensional tree-based ...

Meanwhile, traditional indexing structures for simulations such as Quadtree and Octree exhibit the inferior performance for updating large-scale moving objects ...

G-ML-Octree: An Update-Efficient Index Structure for Simulating 3D Moving Objects Across GPUs. IEEE Trans. Parallel Distributed Syst. 29(5): 1075-1088 (2018).