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Ana Cortés
Ana Cortés Fité
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2020 – today
- 2024
- [j27]Edigley Fraga
, Ana Cortés
Cloud-based urgent computing for forest fire spread prediction. Environ. Model. Softw. 177: 106057 (2024) - [j26]Veronica Vidal
Modeling air quality at urban scale in the city of Barcelona: A matter of green resolution. J. Comput. Sci. 79: 102289 (2024) - [c79]Irene González
Enhancing the Realism of Wildfire Simulation Using Composite Bézier Curves. ICCS (1) 2024: 151-165 - 2023
- [c78]Veronica Vidal
Automatic Green Land-Use Generator for Urban Areas. e-Science 2023: 1-2 - [c77]Veronica Vidal
Downscaling WRF-Chem: Analyzing Urban Air Quality in Barcelona City. ICCS (1) 2023: 61-73 - [c76]Carlos Carrillo
Impact of Mixed-Precision: A Way to Accelerate Data-Driven Forest Fire Spread Systems. ICCS (2) 2023: 62-76 - [c75]Irene González
A new paradigm for forest fire spread prediction: Faster decisions at high resolution. ICPP Workshops 2023: 187-191 - 2022
- [c74]Edigley Fraga, Ana Cortés, Tomàs Margalef
Efficient Cloud-Based Calibration of Input Data for Forest Fire Spread Prediction. e-Science 2022: 128-136 - 2021
- [c73]Edigley Fraga, Ana Cortés, Tomàs Margalef
Cloud-Based Urgent Computing for Forest Fire Spread Prediction under Data Uncertainties. HiPC 2021: 430-435 - [c72]Veronica Vidal
Evaluating WRF-BEP/BEM Performance: On the Way to Analyze Urban Air Quality at High Resolution Using WRF-Chem+BEP/BEM. ICCS (5) 2021: 516-527 - 2020
- [c71]Edigley Fraga, Ana Cortés, Andrés Cencerrado
Early Adaptive Evaluation Scheme for Data-Driven Calibration in Forest Fire Spread Prediction. ICCS (6) 2020: 17-30 - [c70]Gemma Sanjuan, Tomàs Margalef
Wind Field Parallelization Based on Python Multiprocessing to Reduce Forest Fire Propagation Prediction Uncertainty. ICCS (7) 2020: 550-560
2010 – 2019
- 2019
- [j25]Oriol Tintó Prims
Finding, analysing and solving MPI communication bottlenecks in Earth System models. J. Comput. Sci. 36 (2019) - [j24]Angel Farguell
Scalability of a multi-physics system for forest fire spread prediction in multi-core platforms. J. Supercomput. 75(3): 1163-1174 (2019) - [c69]Carlos Carrillo
Accelerating Wild Fire Simulator Using GPU. ICCS (5) 2019: 521-527 - [c68]Oriol Tintó Prims
Discriminating accurate results in nonlinear models. HPCS 2019: 1028-1031 - 2018
- [j23]Gemma Sanjuan, Tomàs Margalef
Wind field parallelization based on Schwarz alternating domain decomposition method. Future Gener. Comput. Syst. 82: 565-574 (2018) - [c67]Carlos Carrillo
Reducing Data Uncertainty in Forest Fire Spread Prediction: A Matter of Error Function Assessment. ICCS (3) 2018: 207-220 - [c66]Angel Farguell Caus
Assimilation of Fire Perimeters and Satellite Detections by Minimization of the Residual in a Fire Spread Model. ICCS (2) 2018: 711-723 - [c65]Carlos Carrillo
Relevance of Error Function in Input Parameter Calibration in a Coupled Wind Field Model-Forest Fire Spread Simulator. HPCS 2018: 772-779 - [i1]Angel Farguell Caus, James Haley, Adam K. Kochanski, Ana Cortés Fité, Jan Mandel:
Assimilation of fire perimeters and satellite detections by minimization of the residual in a fire spread model. CoRR abs/1804.03995 (2018) - 2017
- [j22]Tomàs Artés
Time aware genetic algorithm for forest fire propagation prediction: exploiting multi-core platforms. Concurr. Comput. Pract. Exp. 29(9) (2017) - [j21]Eduardo César
Introducing computational thinking, parallel programming and performance engineering in interdisciplinary studies. J. Parallel Distributed Comput. 105: 116-126 (2017) - [j20]Gemma Sanjuan, Carles Tena
Applying vectorization of diagonal sparse matrix to accelerate wind field calculation. J. Supercomput. 73(1): 240-258 (2017) - [c64]Oriol Tintó
Optimizing domain decomposition in an ocean model: the case of NEMO. ICCS 2017: 776-785 - [c63]Angel Farguell
Data resolution effects on a coupled data driven system for forest fire propagation prediction. ICCS 2017: 1562-1571 - [c62]Carlos Brun, Tomàs Artés
A High Performance Computing Framework for Continental-Scale Forest Fire Spread Prediction. ICCS 2017: 1712-1721 - [c61]María Laura Tardivo, Paola Caymes-Scutari, Germán Bianchini
A comparative study of evolutionary statistical methods for uncertainty reduction in forest fire propagation prediction. ICCS 2017: 2018-2027 - 2016
- [j19]Tomàs Artés
Real-time genetic spatial optimization to improve forest fire spread forecasting in high-performance computing environments. Int. J. Geogr. Inf. Sci. 30(3): 594-611 (2016) - [j18]Gemma Sanjuan, Carlos Brun, Tomàs Margalef
Determining map partitioning to minimize wind field uncertainty in forest fire propagation prediction. J. Comput. Sci. 14: 28-37 (2016) - [j17]Gemma Sanjuan, Tomàs Margalef
Hybrid application to accelerate wind field calculation. J. Comput. Sci. 17: 576-590 (2016) - [j16]Gemma Sanjuan
Applying domain decomposition to wind field calculation. Parallel Comput. 57: 185-196 (2016) - [c60]Nicolas Chiaraviglio, Tomàs Artés
Automatic fire perimeter determination using MODIS hotspots information. eScience 2016: 414-423 - [c59]Carlos Carrillo
Error Function Impact in Dynamic Data-Driven Framework Applied to Forest Fire Spread Prediction. ICCS 2016: 418-427 - [c58]Tomàs Artés
Large Forest Fire Spread Prediction: Data and Computational Science. ICCS 2016: 909-918 - [c57]Angel Farguell
Reducing Data Uncertainty in Surface Meteorology using Data Assimilation: A Comparison Study. ICCS 2016: 1846-1855 - [c56]Gemma Sanjuan, Tomàs Margalef
Accelerating preconditioned conjugate gradient solver in wind field calculation. HPCS 2016: 294-301 - [c55]María Laura Tardivo, Paola Caymes-Scutari, Germán Bianchini
Three evolutionary statistical parallel methods for uncertainty reduction in wildland fire prediction. HPCS 2016: 721-728 - 2015
- [j15]Tomàs Artés
Enhancing computational efficiency on forest fire forecasting by time-aware Genetic Algorithms. J. Supercomput. 71(5): 1869-1881 (2015) - [c54]Eduardo César
Teaching Parallel Programming in Interdisciplinary Studies. Euro-Par Workshops 2015: 66-77 - [c53]Tomàs Artés
Forest Fire Propagation Prediction Based on Overlapping DDDAS Forecasts. ICCS 2015: 1623-1632 - [c52]Andrés Cencerrado
Relieving Uncertainty in Forest Fire Spread Prediction by Exploiting Multicore Architectures. ICCS 2015: 1752-1761 - [c51]Gemma Sanjuan, Tomàs Margalef
Adapting Map Resolution to Accomplish Execution Time Constraints in Wind Field Calculation. ICCS 2015: 2749-2753 - [c50]Gemma Sanjuan, Tomàs Margalef
Applying domain decomposition Schwarz method to accelerate wind field calculation. HPCS 2015: 484-490 - 2014
- [j14]Andrés Cencerrado
Response time assessment in forest fire spread simulation: An integrated methodology for efficient exploitation of available prediction time. Environ. Model. Softw. 54: 153-164 (2014) - [j13]Carlos Brun, Tomàs Margalef
Enhancing multi-model forest fire spread prediction by exploiting multi-core parallelism. J. Supercomput. 70(2): 721-732 (2014) - [c49]Carlos Brun, Ana Cortés
Coupled Dynamic Data-Driven Framework for Forest Fire Spread Prediction. DyDESS 2014: 54-67 - [c48]Gemma Sanjuan, Carlos Brun, Tomàs Margalef
Determining map partitioning to accelerate wind field calculation. HPCS 2014: 96-103 - [c47]Tomàs Artés
Towards a Dynamic Data Driven Wildfire Behavior Prediction System at European Level. ICCS 2014: 1216-1226 - [c46]Gemma Sanjuan, Carlos Brun, Tomàs Margalef
Wind Field Uncertainty in Forest Fire Propagation Prediction. ICCS 2014: 1535-1545 - [c45]Muhammad Asif
Impact of I/O and Data Management in Ensemble Large Scale Climate Forecasting Using EC-Earth3. ICCS 2014: 2370-2379 - [c44]Muhammad Asif
Case Study in Large Scale Climate Simulations: Optimizing the Speedup/Efficiency Balance in Supercomputing Environments. ICCSA (Workshops/Short Papers/Posters) 2014: 248-251 - [c43]Gemma Sanjuan, Carlos Brun, Ana Cortés
Effect of Wind Field Parallelization on Forest Fire Spread Prediction. ICCSA (4) 2014: 538-549 - 2013
- [j12]Kerstin Wendt, Ana Cortés
Parameter calibration framework for environmental emergency models. Simul. Model. Pract. Theory 31: 10-21 (2013) - [c42]Carlos Brun, Tomàs Margalef
Coupling Diagnostic and Prognostic Models to a Dynamic Data Driven Forest Fire Spread Prediction System. ICCS 2013: 1851-1860 - [c41]Darío Rodríguez-Aseretto, Daniele de Rigo, Margherita Di Leo, Ana Cortés
A Data-Driven Model for Large Wildfire Behaviour Prediction in Europe. ICCS 2013: 1861-1870 - [c40]Tomàs Artés
Relieving the Effects of Uncertainty in Forest Fire Spread Prediction by Hybrid MPI-OpenMP Parallel Strategies. ICCS 2013: 2278-2287 - [c39]Tomàs Artés
Core Allocation Policies on Multicore Platforms to Accelerate Forest Fire Spread Predictions. PPAM (2) 2013: 151-160 - 2012
- [j11]Mónica Denham, Kerstin Wendt, Germán Bianchini
Dynamic Data-Driven Genetic Algorithm for forest fire spread prediction. J. Comput. Sci. 3(5): 398-404 (2012) - [c38]Hisham Ihshaish
Parallel Multi-level Genetic Ensemble for Numerical Weather Prediction Enhancement. ICCS 2012: 276-285 - [c37]Andrés Cencerrado
Genetic Algorithm Characterization for the Quality Assessment of Forest Fire Spread Prediction. ICCS 2012: 312-320 - [c36]Hisham Ihshaish
Towards Improving Numerical Weather Predictions by Evolutionary Computing Techniques. ICCS 2012: 1056-1063 - [c35]Carlos Brun, Tomàs Artés
Coupling Wind Dynamics into a DDDAS Forest Fire Propagation Prediction System. ICCS 2012: 1110-1118 - [c34]Andrés Cencerrado
On the Way of Applying Urgent Computing Solutions to Forest Fire Propagation Prediction. ICCS 2012: 1657-1666 - 2011
- [j10]Lluís Pesquer
Parallel ordinary kriging interpolation incorporating automatic variogram fitting. Comput. Geosci. 37(4): 464-473 (2011) - [c33]Kerstin Wendt, Ana Cortés
Input Parameter Calibration in Forest Fire Spread Prediction: Taking the Intelligent Way. IJCAI 2011: 2862-2863 - [c32]Andrés Cencerrado
Prediction Time Assessment in a DDDAS for Natural Hazard Management: Forest Fire Study CaseI. ICCS 2011: 1761-1770 - [p1]Kerstin Wendt, Mónica Denham, Ana Cortés
Evolutionary Optimisation Techniques to Estimate Input Parameters in Environmental Emergency Modelling. Computational Optimization and Applications in Engineering and Industry 2011: 125-143 - 2010
- [j9]Germán Bianchini
Wildland fire growth prediction method based on Multiple Overlapping Solution. J. Comput. Sci. 1(4): 229-237 (2010) - [c31]Roque Rodríguez, Ana Cortés
Data Injection at Execution Time in Grid Environments Using Dynamic Data Driven Application System for Wildland Fire Spread Prediction. CCGRID 2010: 565-568 - [c30]Kerstin Wendt, Ana Cortés
Evolutionary Intelligent System for input parameter optimisation in environmental modelling: A case study in forest fire forecasting. IEEE Congress on Evolutionary Computation 2010: 1-7 - [c29]Roque Rodríguez, Ana Cortés
Towards policies for data insertion in dynamic data driven application systems: a case study sudden changes in wildland fire. ICCS 2010: 1267-1276 - [c28]Kerstin Wendt, Ana Cortés
Knowledge-guided Genetic Algorithm for input parameter optimisation in environmental modelling. ICCS 2010: 1367-1375
2000 – 2009
- 2009
- [c27]Ana Cortés
Half-Duplex Dynamic Data Driven Application System for Forest Fire Spread Prediction. HPCA (China) 2009: 1-7 - [c26]Andrés Cencerrado
Support for Urgent Computing Based on Resource Virtualization. ICCS (1) 2009: 227-236 - [c25]Mónica Denham, Ana Cortés
Computational Steering Strategy to Calibrate Input Variables in a Dynamic Data Driven Genetic Algorithm for Forest Fire Spread Prediction. ICCS (2) 2009: 479-488 - [c24]Roque Rodríguez, Ana Cortés
Injecting Dynamic Real-Time Data into a DDDAS for Forest Fire Behavior Prediction. ICCS (2) 2009: 489-499 - [c23]Mónica Denham, Ana Cortés, Tomàs Margalef
Parallel Dynamic Data Driven Genetic Algorithm for Forest Fire Prediction. PVM/MPI 2009: 323-324 - 2008
- [c22]Roque Rodríguez, Ana Cortés
An Adaptive System for Forest Fire Behavior Prediction. CSE 2008: 275-282 - [c21]Mónica Denham, Ana Cortés
Applying a Dynamic Data Driven Genetic Algorithm to Improve Forest Fire Spread Prediction. ICCS (3) 2008: 36-45 - [c20]Ángel-Luis Calvo, Ana Cortés, Domingo Giménez, Carmela Pozuelo:
Using Metaheuristics in a Parallel Computing Course. ICCS (2) 2008: 659-668 - 2007
- [j8]F. Cedo, Ana Cortés
The Convergence of Realistic Distributed Load-Balancing Algorithms. Theory Comput. Syst. 41(4): 609-618 (2007) - 2006
- [j7]Baker Abdalhaq
Between classical and ideal: enhancing wildland fire prediction using cluster computing. Clust. Comput. 9(3): 329-343 (2006) - [c19]Vicente Ivars, Ana Cortés, Miquel A. Senar:
TDP_SHELL: An Interoperability Framework for Resource Management Systems and Run-Time Monitoring Tools. Euro-Par 2006: 15-24 - [c18]Germán Bianchini
Improved Prediction Methods for Wildfires Using High Performance Computing: A Comparison. International Conference on Computational Science (1) 2006: 539-546 - 2005
- [j6]Baker Abdalhaq
Enhancing wildland fire prediction on cluster systems applying evolutionary optimization techniques. Future Gener. Comput. Syst. 21(1): 61-67 (2005) - [c17]Germán Bianchini, Ana Cortés, Tomàs Margalef
S2F2M - Statistical System for Forest Fire Management. International Conference on Computational Science (1) 2005: 427-434 - [c16]Germán Bianchini, Ana Cortés, Tomàs Margalef, Emilio Luque, Emilio Chuvieco:
Wildland Fire Propagation Danger Maps Based on Factorial Experimentation. ITEE 2005: 173-185 - 2004
- [j5]Ana Cortés, Ana Ripoll, Miquel A. Senar, Emilio Luque
Varying the domain size of the dynamic load-balancing algorithm DASUD for SPMD and MPMD programming scenarios. Int. J. High Perform. Comput. Netw. 1(4): 180-192 (2004) - [c15]Baker Abdalhaq
Accelerating Wildland Fire Prediction on Cluster Systems. International Conference on Computational Science 2004: 220-227 - 2003
- [j4]Miquel A. Senar
Clustering and reassignment-based mapping strategy for message-passing architectures. J. Syst. Archit. 48(8-10): 267-283 (2003) - [c14]Baker Abdalhaq
Accelerating Optimization of Input Parameters in Wildland Fire Simulation. PPAM 2003: 1067-1074 - [c13]Ana Cortés, M. Planas, J. L. Millán, Ana Ripoll, Miquel A. Senar, Emilio Luque
Applying Load Balancing in Data Parallel Applications Using DASUD. PVM/MPI 2003: 237-241 - [c12]Baker Abdalhaq
Improving Wildland Fire Prediction on MPI Clusters. PVM/MPI 2003: 520-528 - [c11]Barton P. Miller, Ana Cortés
The Tool Dæmon Protocol (TDP). SC 2003: 19 - 2002
- [j3]Ana Cortés
An asynchronous and iterative load balancing algorithm for discrete load model. J. Parallel Distributed Comput. 62(12): 1729-1746 (2002) - [c10]Baker Abdalhaq
Optimization of Fire Propagation Model Inputs: A Grand Challenge Application on Metacomputers (Research Note). Euro-Par 2002: 447-451 - [c9]Baker Abdalhaq
Evolutionary Optimization Techniques on Computational Grids. International Conference on Computational Science (1) 2002: 513-522 - 2000
- [b1]Ana Cortés:
A new distributed diffusion algorithm for dynamic load-balancing in parallel systems. Autonomous University of Barcelona, Spain, 2000
1990 – 1999
- 1999
- [c8]Ana Cortés, Ana Ripoll, Miquel A. Senar, Emilio Luque
Performance Comparison of Dynamic Load-Balancing Strategies for Distributed Computing. HICSS 1999 - [c7]Ana Cortés, Ana Ripoll, Miquel Àngel Senar
On the performance of nearest-neighbors load balancing algorithms in parallel systems. PDP 1999: 170-177 - 1998
- [j2]Ana Ripoll, Miquel A. Senar, Ana Cortés, Emilio Luque:
Mapping and Dynamic Load-balancing Strategies for Parallel Programming. Comput. Artif. Intell. 17(5): 481-491 (1998) - [c6]Ana Cortés, Ana Ripoll, Miquel A. Senar, F. Cedo, Emilio Luque
On the Stability of a Distributed Dynamic Load Balancing Algorithm. ICPADS 1998: 435-446 - [c5]Miquel A. Senar, Ana Ripoll
Clustering and Reassignment-Based Mapping Strategy for Message Passing Architectures. IPPS/SPDP 1998: 415-421 - 1997
- [c4]Miquel A. Senar, Ana Ripoll, Ana Cortés, Emilio Luque:
Performance Comparison of Strategies for Static Mapping of Parallel Programs. HPCN Europe 1997: 575-587 - [c3]Ana Cortés, Ana Ripoll, Miquel A. Senar, Emilio Luque:
Dynamic Load Balancing Strategy for Scalable Parallel Systems. PARCO 1997: 735-738 - [c2]Miquel A. Senar, Ana Ripoll, Ana Cortés, Emilio Luque:
An efficient clustering-based approach for mapping parallel programs. PDP 1997: 407-412 - 1995
- [c1]Emilio Luque, Ana Ripoll, Ana Cortés, Tomàs Margalef:
A distributed diffusion method for dynamic load balancing on parallel computers. PDP 1995: 43-50 - 1994
- [j1]Emilio Luque
Scheduling of parallel programs including dynamic loops. Future Gener. Comput. Syst. 10(2-3): 301-304 (1994)
Coauthor Index
[j27] [c79] [c76] [c75] [c74] [c73] [c71] [c70] [j24] [c69] [j23] [c67] [c65] [j22] [j21] [j20] [c63] [c62] [j19] [j18] [j17] [j16] [c60] [c59] [c58] [c57] [c56] [j15] [c54] [c53] [c52] [c51] [c50] [j14] [j13] [c49] [c48] [c47] [c46] [c43] [j12] [c42] [c40] [c39] [j11] [c37] [c35] [c34] [c32] [p1] [j9] [c31] [c30] [c29] [c28] [c25] [c24] [c23] [c22] [c21] [j7] [c18] [j6] [c17] [c16] [c15] [c14] [c12] [c10] [c9] [c1] [j1]
Miquel A. Senar
aka: Miquel Àngel Senar
aka: Miquel Àngel Senar
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