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A hybrid parallel cellular automata model for urban growth simulation over GPU/CPU heterogeneous architectures

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Urban growth simulation over GPU/CPU heterogeneous architecture

This work developed a parallel geospatial CA model for urban growth simulation over the heterogeneous computer architecture composed of multiple central processing units (CPUs) and graphics processing units (GPUs). It provides scalable solutions to enabling complex simulations and optimizations with massive amount of data that were previously infeasible, sometimes impossible, using individual computing approaches

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This implemntation requires GADL library. Compile with CUDA Support, install NVIDIA CUDA 7.5 or above. Compile with OpenMPI or Intel MPI

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A hybrid parallel cellular automata model for urban growth simulation over GPU/CPU heterogeneous architectures

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