286 results on '"Tomàs Margalef"'
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2. Applying Probability Theory for the Quality Assessment of a Wildfire Spread Prediction Framework Based on Genetic Algorithms
3. A new paradigm for forest fire spread prediction: Faster decisions at high resolution.
4. Impact of Mixed-Precision: A Way to Accelerate Data-Driven Forest Fire Spread Systems.
5. Efficient Cloud-Based Calibration of Input Data for Forest Fire Spread Prediction.
6. Cloud-based urgent computing for forest fire spread prediction.
7. Cloud-Based Urgent Computing for Forest Fire Spread Prediction under Data Uncertainties.
8. Early Adaptive Evaluation Scheme for Data-Driven Calibration in Forest Fire Spread Prediction.
9. Wind Field Parallelization Based on Python Multiprocessing to Reduce Forest Fire Propagation Prediction Uncertainty.
10. Accelerating Wild Fire Simulator Using GPU.
11. Relevance of Error Function in Input Parameter Calibration in a Coupled Wind Field Model-Forest Fire Spread Simulator.
12. Reducing Data Uncertainty in Forest Fire Spread Prediction: A Matter of Error Function Assessment.
13. Scalability of a multi-physics system for forest fire spread prediction in multi-core platforms.
14. A High Performance Computing Framework for Continental-Scale Forest Fire Spread Prediction.
15. Data resolution effects on a coupled data driven system for forest fire propagation prediction.
16. Wind field parallelization based on Schwarz alternating domain decomposition method.
17. Automatic fire perimeter determination using MODIS hotspots information.
18. Environment for automatic development and tuning of parallel applications.
19. Accelerating preconditioned conjugate gradient solver in wind field calculation.
20. Error Function Impact in Dynamic Data-Driven Framework Applied to Forest Fire Spread Prediction.
21. Large Forest Fire Spread Prediction: Data and Computational Science.
22. Reducing Data Uncertainty in Surface Meteorology using Data Assimilation: A Comparison Study.
23. Introducing computational thinking, parallel programming and performance engineering in interdisciplinary studies.
24. Applying vectorization of diagonal sparse matrix to accelerate wind field calculation.
25. HeDPM: load balancing of linear pipeline applications on heterogeneous systems.
26. Teaching Parallel Programming in Interdisciplinary Studies.
27. Applying domain decomposition Schwarz method to accelerate wind field calculation.
28. Forest Fire Propagation Prediction Based on Overlapping DDDAS Forecasts.
29. Adapting Map Resolution to Accomplish Execution Time Constraints in Wind Field Calculation.
30. Relieving Uncertainty in Forest Fire Spread Prediction by Exploiting Multicore Architectures.
31. Automated and dynamic abstraction of MPI application performance.
32. Hybrid application to accelerate wind field calculation.
33. Determining map partitioning to minimize wind field uncertainty in forest fire propagation prediction.
34. Real-time genetic spatial optimization to improve forest fire spread forecasting in high-performance computing environments.
35. Applying domain decomposition to wind field calculation.
36. Effect of Wind Field Parallelization on Forest Fire Spread Prediction.
37. Predicting Performance of Hybrid Master/Worker Applications Using Model-Based Regression Trees.
38. Determining map partitioning to accelerate wind field calculation.
39. Coupled Dynamic Data-Driven Framework for Forest Fire Spread Prediction.
40. Towards a Dynamic Data Driven Wildfire Behavior Prediction System at European Level.
41. Wind Field Uncertainty in Forest Fire Propagation Prediction.
42. Performance Model for Master/Worker Hybrid Applications on Multicore Clusters.
43. Coupling Diagnostic and Prognostic Models to a Dynamic Data Driven Forest Fire Spread Prediction System.
44. Relieving the Effects of Uncertainty in Forest Fire Spread Prediction by Hybrid MPI-OpenMP Parallel Strategies.
45. Core Allocation Policies on Multicore Platforms to Accelerate Forest Fire Spread Predictions.
46. Evolutionary Optimisation Techniques to Estimate Input Parameters in Environmental Emergency Modelling.
47. A Performance Tuning Strategy for Complex Parallel Application.
48. Data Injection at Execution Time in Grid Environments Using Dynamic Data Driven Application System for Wildland Fire Spread Prediction.
49. Evolutionary Intelligent System for input parameter optimisation in environmental modelling: A case study in forest fire forecasting.
50. MATE: Toward Scalable Automated and Dynamic Performance Tuning Environment.
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