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Determining map partitioning to minimize wind field uncertainty in forest fire propagation prediction.

, , , and . J. Comput. Sci., (2016)

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Wind field parallelization based on Schwarz alternating domain decomposition method., , and . Future Gener. Comput. Syst., (2018)Applying vectorization of diagonal sparse matrix to accelerate wind field calculation., , , and . J. Supercomput., 73 (1): 240-258 (2017)Accelerating preconditioned conjugate gradient solver in wind field calculation., , and . HPCS, page 294-301. IEEE, (2016)Adapting Map Resolution to Accomplish Execution Time Constraints in Wind Field Calculation., , and . ICCS, volume 51 of Procedia Computer Science, page 2749-2753. Elsevier, (2015)Wind Field Parallelization Based on Python Multiprocessing to Reduce Forest Fire Propagation Prediction Uncertainty., , and . ICCS (7), volume 12143 of Lecture Notes in Computer Science, page 550-560. Springer, (2020)Effect of Wind Field Parallelization on Forest Fire Spread Prediction., , , and . ICCSA (4), volume 8582 of Lecture Notes in Computer Science, page 538-549. Springer, (2014)Determining map partitioning to minimize wind field uncertainty in forest fire propagation prediction., , , and . J. Comput. Sci., (2016)Applying domain decomposition to wind field calculation., , and . Parallel Comput., (2016)Paralelización del cálculo del campo de vientos para la predicción de la propagación de incendios forestales.. Autonomous University of Barcelona, Spain, (2016)Hybrid application to accelerate wind field calculation., , and . J. Comput. Sci., (2016)