A hybrid parallel cellular automata model for urban growth simulation over GPU/CPU heterogeneous architectures
As an important spatiotemporal simulation approach and an effective tool for developing and
examining spatial optimization strategies (eg, land allocation and planning), geospatial …
examining spatial optimization strategies (eg, land allocation and planning), geospatial …
[引用][C] A hybrid parallel cellular automata model for urban growth simulation over GPU/CPU heterogeneous architectures
Q Guan, X Shi, M Huang, C Lai - International Journal of …, 2016 - ui.adsabs.harvard.edu
A hybrid parallel cellular automata model for urban growth simulation over GPU/CPU
heterogeneous architectures - NASA/ADS Now on home page ads icon ads Enable full ADS …
heterogeneous architectures - NASA/ADS Now on home page ads icon ads Enable full ADS …
A hybrid parallel cellular automata model for urban growth simulation over GPU/CPU heterogeneous architectures.
Q Guan, X Shi, M Huang, C Lai - International Journal of …, 2016 - search.ebscohost.com
As an important spatiotemporal simulation approach and an effective tool for developing and
examining spatial optimization strategies (eg, land allocation and planning), geospatial …
examining spatial optimization strategies (eg, land allocation and planning), geospatial …
A hybrid parallel cellular automata model for urban growth simulation over GPU/CPU heterogeneous architectures
Q Guan, X Shi, M Huang, C Lai - International Journal of Geographical …, 2016 - dl.acm.org
As an important spatiotemporal simulation approach and an effective tool for developing and
examining spatial optimization strategies eg, land allocation and planning, geospatial …
examining spatial optimization strategies eg, land allocation and planning, geospatial …