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Conference Paper
Y. Tanimura, Filgueira, R., Kojima, I., and Atkinson, M. P., “Abstract: Reservation-Based I/O Performance Guarantee for MPI-IO Applications Using Shared Storage Systems”, in SC Companion, 2012.
R. Filgueira, Nuñez, A., Fernandez, J., and Atkinson, M., “An adaptive, scalable, and portable technique for speeding up MPI-based applications”, in International European Conference on Parallel and Distributed Computing, Europar-2012, 2012.
R. Filgueira, Atkinson, M., Tanimura, Y., and Kojima, I., “Applying selectively parallel IO compression to parallel storage systems”, in Euro-Par, 2014.
R. Filgueira, Singh, D. E., Calderón, A., and Carretero, J., “CoMPI: Enhancing MPI Based Applications Performance and Scalability Using Run-Time Compression.”, in EUROPVM/MPI 2009.Espoo, Finland. September 2009, Espoo. Finland, 2009, vol. 5759/2009.
R. Filgueira, Singh, D. E., Pichel, J. C., Isaila, F., and Carretero, J., “Data Locality Aware Strategy for Two-Phase Collective I/O”, in VECPAR, 2008.
G. G. Castañè, Nuñez, A., Filgueira, R., and Carretero, J., “Dimensioning Scientific Computing Systems to Improve Performance of Map-Reduce based Applications”, in Procedia Computer Science, Proceedings of the International Conference on Computational Science, ICCS 2012, 2012.
R. Filgueira, Singh, D. E., Pichel, J. C., and Carretero, J., “Exploiting data compression in collective I/O techniques.”, in Cluster Computing 2008., Tsukuba, Japand., 2008.
R. Filgueira, Klampanos, I., Tanimura, Y., and Atkinson., M., “FAST: Flexible Automated Syncrhonization Transfer tool”, in Proceedings of the Sixth International Workshop on Data-Intensive Distributed Computing Date, New York, NY, USA, 2014.
Y. Tanimura, Filgueira, R., Kojima, I., and Atkinson, M. P., “MPI collective I/O based on advanced reservations to obtain performance guarantees from shared storage systems”, in CLUSTER, 2013.
R. Filgueira, Singh, D. E., Isaila, F., Carretero, J., and Loureiro, A. G., “Optimization and evaluation of parallel I/O in BIPS3D parallel irregular application”, in IPDPS, 2007.
A. Nuñez, Filgueira, R., and Merayo, M. G., “SANComSim: A Scalable, Adaptive and Non-intrusive Framework to Optimize Performance in Computational Science Applications”, in ICCS, 2013.
Journal Article
R. Filgueira, Singh, D. E., Calderón, A., Carballeira, F. G., and Carretero, J., “Adaptive CoMPI: Enhancing MPI based applications performance and scalability by using adaptive compression.”, International Journal of High Performance Computing and Applications, 2010. Sage, no. 25 (3), 2010.
J. Vilaplana, Solsona, F., Abella, F., Filgueira, R., and Torrento, J. Rius, “The Cloud Paradigm Applied to e-Health”, BMC Med. Inf. {&} Decision Making, vol. 13, p. 35, 2013.
G. G. Castañè, Nuñez, A., Filgueira, R., and Carretero, J., “Dimensioning Scientific Computing Systems to Improve Performance of Map-Reduce based Applications”, Procedia CS, vol. 9, pp. 226-235, 2012.
R. Filgueira, Carretero, J., Singh, D. E., Calderón, A., and Nunez, A., “Dynamic-CoMPI: Dynamic optimization techniques for MPI parallel applications.”, The Journal of Supercomputing., 2010.
A. Nuñez, Fernández, J., Filgueira, R., Carballeira, F. G., and Carretero, J., “SIMCAN: A flexible, scalable and expandable simulation platform for modelling and simulating distributed architectures and applications”, Simulation Modelling Practice and Theory, vol. 20, pp. 12-32, 2012.
J. D. Garcia, Carretero, J., Pérez, J. M., Carballeira, F. G., and Filgueira, R., “Specifying use case behavior with interaction models”, Journal of Object Technology, vol. 4, pp. 143-159, 2005.
Presentation
R. Filgueira, Atkinson, M., Bell, A., and Snelling, B., “Varpy: A python library for volcanology and rock physics data analysis. EGU2014-3699”. 2014.

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