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Coupled Dynamic Data-Driven Framework for Forest Fire Spread Prediction., , and . DyDESS, volume 8964 of Lecture Notes in Computer Science, page 54-67. Springer, (2014)Hybrid application to accelerate wind field calculation., , and . J. Comput. Sci., (2016)A methodology for transparent knowledge specification in a dynamic tuning environment., , , and . Softw. Pract. Exp., 42 (3): 281-302 (2012)Teaching Parallel Programming in Interdisciplinary Studies., , , , , , and . Euro-Par Workshops, volume 9523 of Lecture Notes in Computer Science, page 66-77. Springer, (2015)GMATE: Dynamic Tuning of Parallel Applications in Grid Environment., , , and . J. Grid Comput., 12 (2): 371-398 (2014)Wind Field Uncertainty in Forest Fire Propagation Prediction., , , and . ICCS, volume 29 of Procedia Computer Science, page 1535-1545. Elsevier, (2014)Cloud-Based Urgent Computing for Forest Fire Spread Prediction under Data Uncertainties., , , and . HiPC, page 430-435. IEEE, (2021)Teaching parallel processing: development of curriculum and software tools., , , , , , , and . ITiCSE, page 159-161. ACM, (1996)Integrating Automatic Techniques in a Performance Analysis Session (Research Note)., , and . Euro-Par, volume 1900 of Lecture Notes in Computer Science, page 173-177. Springer, (2000)Topic 1: Support Tools and Environments., , , and . Euro-Par, volume 4128 of Lecture Notes in Computer Science, page 1. Springer, (2006)