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

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M
S. Mendez, Rexachs, D., and Luque, E., Methodology for Performance Evaluation of the Input/Output System on Computer Clusters, in CLUSTER, 2011, pp. 474-483.
H. Meyer, Rexachs, D., and Luque, E., Hybrid Message Logging. Combining advantages of Sender-based and Receiver-based Approaches, Procedia Computer Science, vol. 29, pp. 2380 - 2390, 2014.
H. Meyer, Muresano, R., Castro-León, M., Rexachs, D., and Luque, E., Hybrid Message Pessimistic Logging. Improving current pessimistic message logging protocols, Journal of Parallel and Distributed Computing, vol. 104, pp. 206 - 222, 2017.
E. Montes-de-Oca, Suppi, R., De Giusti, L., and Naiouf, M., Agent-model based on flame GPU for assessing pupal productivity of the transmitting vector of Aedes aegypti infectious diseases, International Conference on Modeling and Applied Simulation 2019 (MAS19), vol. 1. DIME, Università di Genova, Lisbon, Portugal, pp. 149-158, 2019.
E. Montes-de-Oca, Suppi, R., De Giusti, L., Leporace, M., Micieli, M., Santini, M., and Naiouf, M., Simulación de altas prestaciones (GPU) para la reproducción del mosquito Aedes aegypti en el cementerio de Santo Tomé, Corrientes., XX Workshop Procesamiento Distribuido y Paralelo (WPDP)/ XXV Congreso Argentino de Ciencias de la Computación (CACIC). RedUNCI - UNLP, RIo Cuarto, Argentina, pp. 183-193, 2019.
E. Montes-de-Oca, Suppi, R., De Giusti, L., and Naiouf, Marcelo, Green High Performance Simulation for AMB models of Aedes aegypti, Journal of Computer Science and Technology, vol. 20, p. e02, 2020.
D. Montezanti, Rucci, E., Rexachs, D., Luque, E., Naiouf, M., and Giusti, A. D., SEDAR: Detectando y Recuperando Fallos Transitorios en Aplicaciones de HPC., XX Workshop Procesamiento Distribuido y Paralelo (WPDP)/ XXV Congreso Argentino de Ciencias de la Computación (CACIC). RedUNCI - UNLP, RIo Cuarto, Argentina, pp. 170-182, 2019.
D. Montezanti, Rucci, E., Giusti, A. D., Naiouf, M., Rexachs, D., and Luque, E., Soft errors detection and automatic recovery based on replication combined with different levels of checkpointing, Future Generation Computer Systems, 2020.
D. Montezanti, Frati, F. E., Rexachs, D., Luque, E., Naiouf, M. R., and Giusti, A. D., SMCV: a Methodology for Detecting Transient Faults in Multicore Clusters, CLEI Electron. J., vol. 15, 2012.
M. Morán, Balladini, J., Rexachs, D., and Luque, E., Checkpoint and Restart: An Energy Consumption Characterization in Clusters, in Computer Science – CACIC 2018, Argentina, 2019.
M. Morán, Balladini, J., Rexachs, D., and Luque, E., Prediction of Energy Consumption by Checkpoint/Restart in HPC, IEEE Access, vol. 7, pp. 71791-71803, 2019.
R. Muresano, Meyer, H., Rexachs, D., and Luque, E., An approach for an efficient execution of SPMD applications on Multi-core environments, Future Generation Computer Systems, vol. 66, pp. 11 - 26, 2017.
R. Muresano, Rexachs, D., and Luque, E., How SPMD applications could be efficiently executed on multicore environments?, in CLUSTER, 2009, pp. 1-4.
R. Muresano, Rexachs, D., and Luque, E., Methodology for Efficient Execution of SPMD Applications on Multicore Environments, in CCGRID, 2010, pp. 185-195.
R. Muresano, Rexachs, D., and Luque, E., A tool for efficient execution of SPMD applications on multicore clusters, Procedia CS, vol. 1, pp. 2599-2608, 2010.

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