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Case Study in Large Scale Climate Simulations: Optimizing the Speedup/Efficiency Balance in Supercomputing Environments.

, , , , , and . ICCSA (Workshops/Short Papers/Posters), page 248-251. IEEE Computer Society, (2014)

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On the Way of Applying Urgent Computing Solutions to Forest Fire Propagation Prediction., , and . ICCS, volume 9 of Procedia Computer Science, page 1657-1666. Elsevier, (2012)Prediction Time Assessment in a DDDAS for Natural Hazard Management: Forest Fire Study CaseI., , and . ICCS, volume 4 of Procedia Computer Science, page 1761-1770. Elsevier, (2011)CrossBroker: A Grid Metascheduler for Interactive and Parallel Jobs., , , and . Comput. Informatics, 27 (2): 187-197 (2008)Methodology for time response and quality assessment in natural hazards evolution prediction.. Autonomous University of Barcelona, Spain, (2012)Support for Urgent Computing Based on Resource Virtualization., , and . ICCS (1), volume 5544 of Lecture Notes in Computer Science, page 227-236. Springer, (2009)Response time assessment in forest fire spread simulation: An integrated methodology for efficient exploitation of available prediction time., , and . Environ. Model. Softw., (2014)Enhancing computational efficiency on forest fire forecasting by time-aware Genetic Algorithms., , , and . J. Supercomput., 71 (5): 1869-1881 (2015)A comparative study of evolutionary statistical methods for uncertainty reduction in forest fire propagation prediction., , , , , and . ICCS, volume 108 of Procedia Computer Science, page 2018-2027. Elsevier, (2017)Real-time genetic spatial optimization to improve forest fire spread forecasting in high-performance computing environments., , , and . Int. J. Geogr. Inf. Sci., 30 (3): 594-611 (2016)Relieving the Effects of Uncertainty in Forest Fire Spread Prediction by Hybrid MPI-OpenMP Parallel Strategies., , , and . ICCS, volume 18 of Procedia Computer Science, page 2278-2287. Elsevier, (2013)