Publications (most important in recent years, see DBLP, Academic, Scholar in Team pages)

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J. Panadero, Wong, A. ;, Rexachs, D., and Luque, E., Scalability of Parallel Applications: An approach to predict the computational behavior, International Conference on Parallel and Distributed Processing Techniques and Applications (PDPTA). The World Congress in Computer Science, Computer Engineering and Applied Computing, Las Vegas, Nevada, US, pp. 398-404, 2015.
J. Panadero, Wong, A., Rexachs, D., and Luque, E., Modeling Parallel Applications for Scalability Analysis: An approach to predict the communication pattern, International Conference on Parallel and Distributed Processing Techniques and Applications (PDPTA). The World Congress in Computer Science, Computer Engineering and Applied Computing, Las Vegas, Nevada, US, pp. 191-197, 2015.
J. Panadero, Wong, A., Rexachs, D., and Luque, E., A Tool for Selecting the Right Target Machine for Parallel Scientific Applications, Procedia Computer Science, vol. 18, pp. 1824-1833, 2013.
J. Panadero, Wong, A., Rexachs, D., and Luque, E., P3S: A Methodology to Analyze and Predict Application Scalability, IEEE Transactions on Parallel and Distributed Systems, vol. 29, pp. 642-658, 2018.
J. Panadero, Wong, A., Rexachs, D., and Luque, E., Analysis of scalability: A parallel application model approach, in IEEE International Conference on Cluster Computing, CLUSTER2014, Madrid, Spain, September 22-26, 2014, Madrid - Spain, 2014, pp. 294–295.
R
C. R. Rangel, Wong, A., Rexachs, D., and Luque, E., Using the Application Signature to Detect Inefficiencies Generated by Mapping Policies in Parallel Applications, in 2017 International Conference on High Performance Computing Simulation (HPCS), 2017.
C. Ramon Rangel, Wong, A., Rexachs, D., and Luque, E., Mapping Policies based on Application Signature and Communication Clustering for HPC, in Int'l Conf. Par. and Dist. Proc. Tech. and Appl. PDPTA'18., Las Vegas, USA, 2018.
C. R. Rangel, Wong, A., Rexachs, D., and Luque, E., Improving SPMD applications through reduced cache miss rate, in 20th IEEE International Conference on High Performance Computing and Communications (HPCC-2018 IEEE) , Exeter, UK, 2018.
A. Royo, Villamayor, J., Castro-León, M., del Rosario, D. Rexachs, and Luque Fadón, E., H-RADIC: The Fault Tolerance Framework for Virtual Clusters on Multi-Cloud Environments, Jornadas de Cloud Computing & Big Data (JCC&BD) . Facultad de Informática, La Plata, Argentina, pp. 7-13, 2018.

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