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Carlos Carrillo 0002

Carlos Carrillo Jordan

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affiliation: Universitat Autònoma de Barcelona, Spain

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Books and Theses

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2022
[b1]
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Carlos Carrillo Jordan:
Re-Engineering Forest Fire Spread Simulator to Consider Urgent and Green Computing. Autonomous University of Barcelona, Spain, 2022

Journal Articles

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2024
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Edigley Fraga, Ana Cortés, Tomàs Margalef, Porfidio Hernández, Carlos Carrillo:
Cloud-based urgent computing for forest fire spread prediction. Environ. Model. Softw. 177: 106057 (2024)

Conference and Workshop Papers

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2024
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Irene González, Carlos Carrillo, Ana Cortés, Tomàs Margalef:
Enhancing the Realism of Wildfire Simulation Using Composite Bézier Curves. ICCS (1) 2024: 151-165
2023
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Veronica Vidal, Carlos Carrillo, Ana Cortés, Alba Badia, Gara Villalba:
Automatic Green Land-Use Generator for Urban Areas. e-Science 2023: 1-2
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Carlos Carrillo, Tomàs Margalef, Antonio Espinosa, Ana Cortés:
Impact of Mixed-Precision: A Way to Accelerate Data-Driven Forest Fire Spread Systems. ICCS (2) 2023: 62-76
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Irene González, Carlos Carrillo, Ana Cortés, Antonio Espinosa, Tomàs Margalef:
A new paradigm for forest fire spread prediction: Faster decisions at high resolution. ICPP Workshops 2023: 187-191
2019
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Carlos Carrillo, Tomàs Margalef, Antonio Espinosa, Ana Cortés:
Accelerating Wild Fire Simulator Using GPU. ICCS (5) 2019: 521-527
2018
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Carlos Carrillo, Ana Cortés, Tomàs Margalef, Antonio Espinosa, Andrés Cencerrado:
Reducing Data Uncertainty in Forest Fire Spread Prediction: A Matter of Error Function Assessment. ICCS (3) 2018: 207-220
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Carlos Carrillo, Ana Cortés, Tomàs Margalef, Antonio Espinosa, Andrés Cencerrado:
Relevance of Error Function in Input Parameter Calibration in a Coupled Wind Field Model-Forest Fire Spread Simulator. HPCS 2018: 772-779
2016
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Carlos Carrillo, Tomàs Artés, Ana Cortés, Tomàs Margalef:
Error Function Impact in Dynamic Data-Driven Framework Applied to Forest Fire Spread Prediction. ICCS 2016: 418-427

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