Andrés Cencerrado

发表

Early Adaptive Evaluation Scheme for Data-Driven Calibration in Forest Fire Spread Prediction

Tomàs Margalef, Ana Cortés, Edigley Fraga, 2020, ICCS.

Relieving the Effects of Uncertainty in Forest Fire Spread Prediction by Hybrid MPI-OpenMP Parallel Strategies

Tomàs Margalef, Ana Cortés, Andrés Cencerrado, 2013, ICCS.

Relieving Uncertainty in Forest Fire Spread Prediction by Exploiting Multicore Architectures

Tomàs Margalef, Ana Cortés, Andrés Cencerrado, 2015, ICCS.

Applying Probability Theory for the Quality Assessment of a Wildfire Spread Prediction Framework Based on Genetic Algorithms

Tomàs Margalef, Ana Cortés, Andrés Cencerrado, 2013, TheScientificWorldJournal.

Relevance of Error Function in Input Parameter Calibration in a Coupled Wind Field Model-Forest Fire Spread Simulator

Tomàs Margalef, Ana Cortés, Carlos Carrillo, 2018, 2018 International Conference on High Performance Computing & Simulation (HPCS).

Core Allocation Policies on Multicore Platforms to Accelerate Forest Fire Spread Predictions

Tomàs Margalef, Ana Cortés, Andrés Cencerrado, 2013, PPAM.

Prediction Time Assessment in a DDDAS for Natural Hazard Management: Forest Fire Study CaseI

Tomàs Margalef, Ana Cortés, Andrés Cencerrado, 2011, ICCS.

Reducing Data Uncertainty in Forest Fire Spread Prediction: A Matter of Error Function Assessment

Tomàs Margalef, Ana Cortés, Carlos Carrillo, 2018, ICCS.

A High Performance Computing Framework for Continental-Scale Forest Fire Spread Prediction

Carlos Brun, Tomàs Margalef, Ana Cortés, 2017, ICCS.

Enhancing computational efficiency on forest fire forecasting by time-aware Genetic Algorithms

Tomàs Margalef, Ana Cortés, Andrés Cencerrado, 2014, The Journal of Supercomputing.

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

Ana Cortés, Andrés Cencerrado, Muhammad Asif, 2014, 2014 14th International Conference on Computational Science and Its Applications.

Genetic Algorithm Characterization for the Quality Assessment of Forest Fire Spread Prediction

Tomàs Margalef, Ana Cortés, Andrés Cencerrado, 2012, ICCS.

Impact of I/O and Data Management in Ensemble Large Scale Climate Forecasting Using EC-Earth3

Ana Cortés, Andrés Cencerrado, Muhammad Asif, 2014, ICCS.

Applying GPU parallel technology to accelerate FARSITE forest fire simulator

Tomàs Margalef, Ana Cortés, Carlos Carrillo, 2018 .

A comparative study of evolutionary statistical methods for uncertainty reduction in forest fire propagation prediction

María Laura Tardivo, Paola Caymes-Scutari, Germán Bianchini, 2017, ICCS.

Time aware genetic algorithm for forest fire propagation prediction: exploiting multi‐core platforms

Tomàs Margalef, Ana Cortés, Andrés Cencerrado, 2017, Concurr. Comput. Pract. Exp..

Real-time genetic spatial optimization to improve forest fire spread forecasting in high-performance computing environments

Tomàs Margalef, Ana Cortés, Andrés Cencerrado, 2016, Int. J. Geogr. Inf. Sci..

Towards a Dynamic Data Driven Wildfire Behavior Prediction System at European Level

Tomàs Margalef, Ana Cortés, Andrés Cencerrado, 2014, ICCS.

CrossBroker: A Grid Metascheduler for Interactive and Parallel Jobs

Elisa Heymann, Miquel A. Senar, Andrés Cencerrado, 2008, Comput. Informatics.

On the Way of Applying Urgent Computing Solutions to Forest Fire Propagation Prediction

Tomàs Margalef, Ana Cortés, Andrés Cencerrado, 2012, ICCS.

Response time assessment in forest fire spread simulation: An integrated methodology for efficient exploitation of available prediction time

Tomàs Margalef, Ana Cortés, Andrés Cencerrado, 2014, Environ. Model. Softw..

Support for Urgent Computing Based on Resource Virtualization

Ana Cortés, Miquel A. Senar, Andrés Cencerrado, 2009, ICCS.