Dynamic Load Balancing Based on Hypergraph Partitioning for Parallel Geospatial Cellular Automata Models
Parallel computing techniques have been adopted in geospatial cellular automata (CA) models to improve computational efficiency, enabling large-scale complex simulations of land use and land cover (LULC) changes at fine scales. However, the spatial distribution of computational intensity often chang...
Saved in:
| Main Authors: | Wei Xia, Qingfeng Guan, Yuanyuan Li, Hanqiu Yue, Xue Yang, Huan Gao |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2025-03-01
|
| Series: | ISPRS International Journal of Geo-Information |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2220-9964/14/3/109 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Simulation of earthquakes with cellular automata
by: P. G. Akishin, et al.
Published: (1998-01-01) -
Division of a Natural Number by Two: A Cellular Automata-Based Approach
by: Mohammad Zeynali Azim, et al.
Published: (2025-01-01) -
Universal Hypergraphic Automata Representation by Autonomous Input Symbols
by: Ekaterina Khvorostukhina, et al.
Published: (2018-10-01) -
Land Use Prediction Using Markov – Cellular Automata in the Peusangan Watershed, Aceh
by: Rini Fitri*, et al.
Published: (2022-12-01) -
Efficient Generator of Structural Topologies Based on Irregular Cellular Automata
by: Bogdan BOCHENEK, et al.
Published: (2017-03-01)