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

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Author [ Title(Desc)] Type Year
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H
R. J. Barrientos, Hernández-García, R., Ortega, K., Luque, E., and Peralta, D., Heap-Based Algorithms to Accelerate Fingerprint Matching on Parallel Platforms, in Cloud Computing and Big Data, La Plata, Argentina, 2019.
R. Solar, Suppi, R., and Luque, E., High performance distributed cluster-based individual-oriented fish school simulation, Procedia CS, vol. 4, pp. 76-85, 2011.
R. Solar, Suppi, R., and Luque, E., High performance individual-oriented simulation using complex models, Procedia CS, vol. 1, pp. 447-456, 2010.
D. Lugones, Franco, D., Rexachs, D., Moure, J. C., Luque, E., Argollo, E., Falcón, A., Ortega, D., and Faraboschi, P., High-speed network modeling for full system simulation, in IISWC, 2009, pp. 24-33.
P. Gomez-Sanchez, Méndez, S., Rexachs, D., and Luque, E., Hopes and Facts in Evaluating the Performance of HPC-I/O on a Cloud Environment, Journal of Computer Science & Technology, vol. 15, 2015.
R. Muresano, Rexachs, D., and Luque, E., How SPMD applications could be efficiently executed on multicore environments?, in CLUSTER, 2009, pp. 1-4.
A. Royo, Villamayor, J., Castro-León, M., Rexachs, D., and Luque, E., H-RADIC: A Fault Tolerance Framework for Virtual Clusters on Multi-Cloud Environments, Journal of Computer Science and Technology, vol. 18, p. e24, 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.
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.

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