Publications

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R. M. Badia, Labarta, J., Sirvent, R., Pérez, J. M., Cela, J. M., and Grima, R., Programming Grid Applications with GRID superscalar. Journal of GRID Computing, 2003.
R. M. Badia, Sirvent, R., Labarta, J., and Pérez, J. M., Programming the GRID: An Imperative Language Based Approach, book chapter in Engineering the Grid, 2006.
A. Duran, Ferrer, R., Costa, J., González, M., Martorell, X., Ayguadé, E., and Labarta, J., A Proposal for Error Handling in OpenMP. International Workshop on OpenMP (IWOMP 2006), 2006.
E. Ayguadé, Badia, R. M., Cabrera, D., Duran, A., González, M., Igual, F., Jiménez, D. A., Labarta, J., Martorell, X., Mayo, R., Pérez, J. M., and Quintana-Ortí, E. S., A Proposal to Extend the OpenMP Tasking Model for Heterogeneous Architectures. Proc. of the 5th International Workshop on OpenMP, 2009.
E. Ayguadé, Badia, R. M., Cabrera, D., Duran, A., González, M., Igual, F., Jiménez, D. A., Labarta, J., Martorell, X., Mayo, R., Pérez, J. M., and Quintana-Ortí, E. S., A Proposal to Extend the OpenMP Tasking Model for Heterogeneous Architectures. Proceedings of the International Workshop on OpenMP (IWOMP 2009), 2009.
A. Duran, Ferrer, R., Ayguadé, E., Badia, R. M., and Labarta, J., A Proposal to Extend the OpenMP Tasking Model with Dependent Tasks. International Journal of Parallel Programming, Volume 37, Issue 3 (2009), pages 292-305, 2009.
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V. Subotic, Ferrer, R., Sancho, J. C., Labarta, J., and Valero, M., Quantifying the Potential Task-Based Dataflow Parallelism in MPI Applications, Euro-Par 2011 Parallel Processing, vol. 6852. Springer Berlin Heidelberg, pp. 39-51, 2011.
A. Jokanovic, Sancho, J. C., Rodríguez, G., Lucero, A., Minkenberg, C., and Labarta, J., Quiet Neighborhoods: Key to Protect Job Performance Predictability, Parallel and Distributed Processing Symposium (IPDPS), 2015 IEEE International . IPDPS-2015, pp. 449-459, 2015.
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J. C. Sancho, Jokanovic, A., and Labarta, J., Reducing the Impact of Soft Errors on Fabric-based Collective Communications, Proceedings of the 2011 International Conference on Parallel Processing - Volume 2. Springer-Verlag, Berlin, Heidelberg, pp. 262–271, 2012.
A. Jokanovic, Sancho, J. C., Rodríguez, G., and Labarta, J., Resource management techniques aware of interference among high-performance computing applications, 2014.
G. Ozen, Ayguadé, E., and Labarta, J., On the Roles of the Programmer, the Compiler and the Runtime System When Programming Accelerators in OpenMP, Using and Improving OpenMP for Devices, Tasks, and More. IWOMP 2014. Lecture Notes in Computer Science, vol. 8766. Springer International Publishing, pp. 215-229, 2014.
D. Ródenas, Martorell, X., Costa, J., Cortes, T., and Labarta, J., Running BT Multi-Zone on non-shared memory machines with OpenMP SDSM instead of MPI. XVI Jornadas de Paralelismo, 2005.
J. Costa, Cortes, T., Martorell, X., Ayguadé, E., and Labarta, J., Running OpenMP application efficiently on an everything-shared SDSM. Journal on Parallel and Distributed systems (JPDC), 2006.
J. Costa, Cortes, T., Martorell, X., Ayguadé, E., and Labarta, J., Running OpenMP Applications Efficiently on an Everything-shared SDSM. 18th International Parallel and Distributed Processing Symposium (IPDPS-2004), 2004.
J. Balart, González, M., Martorell, X., Ayguadé, E., and Labarta, J., Runtime Address Space Computation for SDSM Systems. The 19th Int. Workshop on Languages and Compilers for Parallel Computing (LCPC 2006), 2006.
M. Casas, Moreto, M., Álvarez, L., Castillo, E., Chasapis, D., Hayes, T., Jaulmes, L., Palomar, O., Ünsal, O. S., Cristal, A., Ayguadé, E., Labarta, J., and Valero, M., Runtime-Aware Architectures, Euro-Par 2015: Parallel Processing, vol. 9233, no. Lecture Notes in Computer Science. pp. 16-27, 2015.
M. Valero, Moreto, M., Casas, M., Ayguadé, E., and Labarta, J., Runtime-Aware Architectures: A First Approach, International Journal on Supercomputing Frontiers and Innovations, vol. 1. pp. 29-44, 2014.
L. Álvarez, Moreto, M., Casas, M., Castillo, E., Martorell, X., Labarta, J., Ayguadé, E., and Valero, M., Runtime-Guided Management of Scratchpad Memories in Multicore Architectures, 2015 International Conference on Parallel Architecture and Compilation (PACT) . pp. 379-391, 2015.
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J. Labarta, Giménez, J., Martínez, E., González, P., Servat, H., Llort, G., and Aguilar, X., Scalability of Tracing and Visualization Tools. ParCo 2005, 2005.
F. Freitag, Caubet, J. J., and Labarta, J., On the Scalability of Tracing Mechanisms. 8th International Euro-Par Conference, 2002.
C. Rosas, Giménez, J., and Labarta, J., Scalability Prediction for Fundamental Performance Factors, Supercomputing Frontiers and Innovation, vol. 1. Federal State Funded Educational Institution of Higher Professional Education, pp. 4-19, 2014.
J. C. Sancho, Jokanovic, A., and Labarta, J., Scalable Fault-tolerant Interconnection Networks for Large-scale Computing Systems, {Workshop on Design for Reliability in conjunction with the International Conference on High-Performance and Embedded Architectures and Compilers}. {FP7}, Paris, France, 2012.
M. Farreras, Cortes, T., Labarta, J., and Almasi, G., Scaling MPI to short-memory MPPs such as BG/L. 20th ACM International Conference on Supercomputing (ICS-06), 2006.
E. Ayguadé, Blainey, B., Duran, A., Labarta, J., Martínez, F., Martorell, X., and Silvera, R., Is the SCHEDULE Clause Really Necessary in OpenMP?. International Workshop on OpenMP Applications and Tools (WOMPAT2003), 2003.
G. Utrera, Corbalán, J., and Labarta, J., Scheduling parallel jobs on multicore clusters using CPU oversubscription, Journal of Supercomputing, vol. 68. pp. 1113–1140, 2014.
J. Planas, Badia, R. M., Ayguadé, E., and Labarta, J., Self-Adaptive OmpSs Tasks in Heterogeneous Environments, The 27th IEEE International Parallel and Distributed Processing Symposium (IPDPS 2013). IEEE, Boston, United States, pp. 138–149, 2013.
S. Girona and Labarta, J., Sensitivity of Performance Prediction of Message Passing Programs. 1999 International Conference on Parallel and Distributed Processing Techniques and Applications (PDPTA'99), 1999.
J. González, Giménez, J., Casas, M., Moretó, M., Ramirez, A., Labarta, J., and Valero, M., Simulating Whole Supercomputer Applications, IEEE Micro, vol. 31. IEEE, pp. 32-45, 2011.
V. Subotic, Labarta, J., and Valero, M., Simulation environment to study overlapping of communication and computation. IEEE International Symposium on Performance Analysis of Systems and Software, 2011.
V. Subotic, Sancho, J. C., Labarta, J., and Valero, M., A simulation framework to automatically analyze the communication-computation overlap in scientific applications. IEEE International Conference on Cluster Computing, 2011.
V. Subotic, Sancho, J. C., Labarta, J., and Valero, M., A Simulation Framework to Automatically Analyze the Communication-Computation Overlap in Scientific Applications, Cluster Computing (CLUSTER), 2010 IEEE International Conference on. pp. 275-283, 2010.
I. Rodero, Corbalán, J., Duran, A., and Labarta, J., Soporte para el análisis de workloads en el proyecto eNANOS. XVI Jornadas de Paralelismo, 2005.
R. Tous, Gounaris, A., Tripiana, C., Torres, J., Girona, S., Ayguadé, E., Labarta, J., Becerra, Y., Carrera, D., and Valero, M., Spark Deployment and Performance Evaluation on the MareNostrum Supercomputer, Big Data (Big Data), 2015 IEEE International Conference on . IEEE, pp. 299-306, 2015.
R. M. Badia, Bellens, P., Ejarque, J., Labarta, J., de Palol, M., Pérez, J. M., Sirvent, R., and Tejedor, E., SSH GRID superscalar: a Tailored Version for Cluster. 1st Iberian Grid Infrastructure Conference (IBERGRID). Santiago de Compostela (Spain), 2007.
J. Planas, Badia, R. M., Ayguadé, E., and Labarta, J., SSMART: Smart Scheduling of Multi-architecture Tasks on Heterogeneous Systems, Proceedings of the Second Workshop on Accelerator Programming Using Directives. ACM, New York, NY, USA, pp. 1:1–1:11, 2015.
J. Planas, Badia, R. M., Ayguadé, E., and Labarta, J., SSMART: Smart Scheduling of Multi-architecture Tasks on Heterogeneous Systems, Proceedings of the Second Workshop on Accelerator Programming Using Directives. ACM, New York, NY, USA, pp. 1:1–1:11, 2015.
J. Labarta, StarSs: A Programming Model for the Multicore Era. In PRACE Workshop 'New Languages & Future Technology Prototypes' at the Leibniz Supercomputing Centre in Garching (Germany), 2010.
P. Bellens, Pérez, J. M., Badia, R. M., and Labarta, J., A Study of Speculative Distributed Scheduling on the Cell/B.E., proceedings of the 25th IEEE International Parallel & Distributed Processing Symposium. 2011.
J. J. Caubet, Hogan, K., Nou, R., Labarta, J., and Torres, J., Supporting the Introduction of Autonomic Computing in Middleware. Hursley, England. Engineering Conference VII, IBM Academy of Technology Conference IBM, 2006.
R. M. Badia, Labarta, J., Marjanovic, V., F., M. A., Mayo, R., Quintana-Ortí, E. S., and Reyes, R., Symmetric Rank-k Update on Clusters of Multicore Processors with SMPSs, in Applications, Tools and Techniques on the Road to Exascale Computing, IOS Press, 2012.
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T. Cortes and Labarta, J., Taking Advantage of Heterogeneity in Disk Arrays. Journal on Parallel and Distributed Computing (JPDC), 2003.
Y. Etsion, Cabarcas, F., Rico, A., Ramirez, A., Badia, R. M., Ayguadé, E., Labarta, J., and Valero, M., Task Superscalar: An Out-of-Order Task Pipeline, IEEE/ACM Intl. Symp. on Microarchitecture (MICRO-43). pp. 89-100, 2010.
Y. Etsion, Ramirez, A., Badia, R. M., Ayguadé, E., Labarta, J., and Valero, M., Task Superscalar: Using Processors as Functional Units, USENIX Workshop on Hot Topics In Parallelism (HotPar). 2010.
A. Fernández, Beltran, V., Martorell, X., Badia, R. M., Ayguadé, E., and Labarta, J., Task-Based Programming with OmpSs and Its Application, Workshop on Software for Exascale Computing (SPPEXA). Springer-Verlag, Porto, Portugal, pp. 602–613, 2014.
J. Ciesko, Mateo, S., Teruel, X., Beltran, V., Martorell, X., Badia, R. M., Ayguadé, E., and Labarta, J., Task-Parallel Reductions in OpenMP and OmpSs, 10th International Workshop on OpenMP, IWOMP 2014. Springer, Salvador de Bahia, Brazil, pp. 1–15, 2014.
X. Martorell, González, M., Duran, A., Balart, J., Ferrer, R., Ayguadé, E., and Labarta, J., Techniques Supporting threadprivate in OpenMP. 11th Int. Workshop on High-Level Parallel Programming Models and Supportive Environments (HIPS 2006), 2006.
P. Alonso, Badia, R. M., Labarta, J., Barreda, M., Dolz, M. F., Mayo, R., Quintana-Ortí, E. S., and Reyes, R., Tools for Power-Energy Modelling and Analysis of Parallel Scientific Applications, The 41st International Conference on Parallel Processing. IEEE, Pittsburgh, United States, pp. 420–429, 2012.
J. Ciesko, Mateo, S., Teruel, X., Martorell, X., Ayguadé, E., Labarta, J., Duran, A., de Supinski, B. R., Olivier, S., Li, K., and Eichenberger, A. E., Towards Task-Parallel Reductions in OpenMP, in OpenMP: Heterogenous Execution and Data Movements: 11th International Workshop on OpenMP, IWOMP 2015, Aachen, Germany, October 1-2, 2015, Proceedings, vol. 9342, no. Lecture Notes in Computer Science , C. Terboven, R. de Supinski, B., Reble, P., M. Chapman, B., and S. Müller, M. Cham: Springer International Publishing, 2015, pp. 189–201.
F. Guim, Rodero, I., Corbalán, J., and Labarta, J., Towards Uniform and Transparent Access to the Grid Universe Information Using the Palantir. CoreGRID Workshop in Grid Middleware 2007, 2007.
G. Llort, Casas, M., Servat, H., Huck, K., Giménez, J., and Labarta, J., Trace Spectral Analysis toward Dynamic Levels of Detail, 17th IEEE International Conference on Parallel and Distributed Systems, ICPADS 2011, Tainan, Taiwan. pp. 332 - 339, 2011.

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