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., “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.

E. Bruballa, Taboada, M., Wong, A., Rexachs, D., and Luque, E., “An Analytical Model to Evaluate the Response Capacity of Emergency Departments in Extreme Situations”, The Seventh International Conference on Advances in System Simulation (SIMUL 2015). IARIA, Barcelona, Spain, 2015.

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E. Bruballa, Taboada, M., Wong, A., Rexachs, D., and Luque, E., “Evaluation of performance and response capacity in emergency deparments”, in Proceedings of the 2015 Winter Simulation Conference, Huntington Beach, CA, USA, December 6-9, 2015, 2015, pp. 3228–3229.

A. Wong, Rexachs, D., and Luque, E., “Extraction of Parallel Application Signatures for Performance Prediction”, in HPCC, 2010, pp. 223-230.

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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.

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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.

A. Wong, Heymann, E., Rexachs, D., and Luque, E., “Middleware to Manage Fault Tolerance Using Semi-Coordinated Checkpoints”, IEEE Transactions on Parallel and Distributed Systems, 2020.

E. Bruballa, Wong, A., Epelde, F., Rexachs, D., and Luque, E., “A model to predict length of stay in a hospital emergency department and enable planning for non-critical patients admission”, International Journal of Integrated Care, vol. 16, 2016.

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.

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A. Wong, Rexachs, D., and Luque, E., “Parallel application signature”, in CLUSTER, 2009, pp. 1-4.

A. Wong, Rexachs, D., and Luque, E., “Parallel Application Signature for Performance Analysis and Prediction”, IEEE Trans. Parallel Distrib. Syst., vol. 26, pp. 2009–2019, 2015.

A. Wong, Rexachs, D., and Luque, E., “Parallel Application Signature for Performance Prediction”, in PDPTA, 2010, pp. 408-414.

A. Wong, Rexachs, D., and Luque, E., “PAS2P Tool, Parallel Application Signature for Performance Prediction”, in PARA (1), 2010, pp. 293-302.

M. J. Canillas, Wong, A., Rexachs, D., and Luque, E., “Predicting parallel applications performance using signatures: The workload effect”, in AICCSA, 2011, pp. 299-300.

J. Gramacho, Wong, A., Rexachs, D., and Luque, E., “Predicting robustness against transient faults of MPI based programs”, International Journal of Computational Science and Engineering, vol. Vol.12, pp. 155 - 165, 2016.

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