Learning parallel programming: a challenge for university students R Muresano, D Rexachs, E Luque Procedia Computer Science (ISSN: 1877-0509) 1 (1), 875-883, 2010 | 23 | 2010 |
Methodology for efficient execution of spmd applications on multicore environments R Muresano, D Rexachs, E Luque Procc of the 2010 10th IEEE/ACM Int Conf on Cluster, Cloud and Grid Comp …, 2010 | 16 | 2010 |
Hybrid Message Pessimistic Logging. Improving current pessimistic message logging protocols H Meyer, R Muresano, M Castro-León, D Rexachs, E Luque Journal of Parallel and Distributed Computing 104, 206-222, 2017 | 15 | 2017 |
How SPMD applications could be efficiently executed on Multicore Environments? R Muresano, D Rexachs, E Luque IEEE Int Conf on Cluster Computing and Workshops, 2009. ISBN 978-1-4244-5011 …, 2009 | 15 | 2009 |
An approach for an efficient execution of SPMD applications on Multi-core environments R Muresano, H Meyer, D Rexachs, E Luque Future Generation Computer Systems 66, 11-26, 2017 | 9 | 2017 |
Dragonfly: A multi-platform parallel toolbox for MATLAB/Octave I Azzini, R Muresano, M Ratto Computer Languages, Systems & Structures 52, 21-42, 2018 | 8 | 2018 |
Combining scalability and efficiency for spmd applications on multicore clusters R Muresano, D Rexachs, E Luque Proceedings of the International Conference on Parallel and Distributed …, 2011 | 8 | 2011 |
Methodology for predicting the energy consumption of SPMD application on virtualized environments J Balladini, R Muresano, R Suppi, D Rexachs, E Luque Journal of Computer Science & Technology (ISSN 1666-6038) 13 (3), 130-136, 2013 | 7 | 2013 |
A tool for efficient execution of SPMD applications on multicore clusters R Muresano, D Rexachs, E Luque Procedia Computer Science (ISSN: 1877-0509) 1 (1), 2599-2608, 2010 | 7 | 2010 |
Teaching model for computational science and engineering programme H Stainsby, R Muresano, L Fialho, JC González, D Rexachs, E Luque International Conference on Computational Science, 34-43, 2009 | 5 | 2009 |
Adapting and optimizing the systemic model of banking originated losses (symbol) tool to the multi-core architecture R Muresano, A Pagano Computational Economics 48 (2), 253-280, 2016 | 4 | 2016 |
Automatic Tuning for a Systemic Model of Banking Originated Losses (SYMBOL) Tool on Multicore R Muresano, A Pagano International Journal of Social, Management, Economics and Business …, 2014 | 2 | 2014 |
Tuning SPMD Applications in Order to Increase Performability H Meyer, R Muresano, D Rexachs, E Luque Trust, Security and Privacy in Comp and Comm (TrustCom)(ISBN:978-0-7695-5022 …, 2013 | 2 | 2013 |
A Framework to write Performability-Aware SPMD Applications H Meyer, R Muresano, D Rexachs, E Luque The 2011 International Conference on Parallel and Distributed Processing …, 2013 | 1 | 2013 |
A method for scaling SPMD applications on Multicore Clusters R Muresano, D Rexachs, E Luque Proceedings of the 2012 International Conference on Parallel and Distributed …, 2012 | 1 | 2012 |
An Approach for Efficient Execution of SPMD Applications on Multicore Clusters R Muresano, D Rexachs, E Luque Programming multi‐core and many‐core computing systems, 431-450, 2017 | | 2017 |
Migration of tools and methodologies for performance prediction and efficient HPC on cloud environments: Results and conclusion R Muresano, A Wong, D Rexachs, E Luque Journal of Computer Science & Technology (ISSN 1666-6038) 13 (3), 123-129, 2013 | | 2013 |
Metodología para la ejecución eficiente de aplicaciones SPMD en clústeres con procesadores multicore RR Muresano Cáceres Universitat Autònoma de Barcelona,, 2013 | | 2013 |
A case of study for learning to design SPMD applications efficiently on multicore cluster R Muresano, D Rexachs, E Luque The 2013 International Conference on Foundations of Computer Science (FCS), 2012 | | 2012 |
Thesis Overview M Méndez, R Muresano, G Zarza | | 2011 |