Paola Caymes‐Scutari

Evolutionary-Statistical System: A parallel method for improving forest fire spread prediction

Germán Bianchini, Paola Caymes‐Scutari, Miguel Méndez‐Garabetti · Journal of Computational Science · 2014 · 24 citations · Full text

Natural Resources, Forestry, Meteorology +16

MATE: Monitoring, Analysis and Tuning Environment for parallel/distributed applications

Anna Morajko, Paola Caymes‐Scutari, Tomàs Margalef et al. · Concurrency and Computation Practice and Experience · 2006 · 22 citations

Computing, Computer Science, High-performance Computing +17

Increase in the quality of the prediction of a computational wildfire behavior method through the improvement of the internal metaheuristic

Miguel Méndez‐Garabetti, Germán Bianchini, Paola Caymes‐Scutari et al. · Fire Safety Journal · 2016 · 12 citations · Full text

Natural Resources, Computer Science, Forestry +14

Hierarchical parallel model for improving performance on differential evolution

María Laura Tardivo, Paola Caymes‐Scutari, Germán Bianchini et al. · Concurrency and Computation Practice and Experience · 2017 · 10 citations · Full text

Computing, Computer Science, Distributed Systems +16

Comparative Analysis of Performance and Quality of Prediction Between ESS and ESS-IM

Miguel Méndez‐Garabetti, Germán Bianchini, María Laura Tardivo et al. · Electronic Notes in Theoretical Computer Science · 2015 · 10 citations · Full text

Computing, High-performance Computing, Forecasting +12