Publications

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Journal
A. Jokanovic, Sancho, J. C., Rodriguez, G., Minkenberg, C., Beivide, R., and Labarta, J., On the trade-off of mixing scientific applications on capacity high-performance computing systems, Computers Digital Techniques, IET, vol. 7. pp. 81-92, 2013.
T. Cortes and Labarta, J., Taking Advantage of Heterogeneity in Disk Arrays. Journal on Parallel and Distributed Computing (JPDC), 2003.
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.
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.
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.
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.
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.
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.
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.
V. Subotic, Brinkmann, S., Marjanovic, V., Badia, R. M., Gracia, J., Niethammer, C., Ayguadé, E., Labarta, J., and Valero, M., Programmability and portability for exascale: Top down programming methodology and tools with StarSs, Journal of Computational Science, vol. 4. pp. 450–456, 2013.
F. Guim, Rodero, I., Corbalán, J., and Labarta, J., Portal de Acceso a Recursos HPC en Entornos Grid. Boletín RedIRIS 80, 2007.
J. Corbalán, Martorell, X., and Labarta, J., Performance-Driven Processor Allocation. IEEE Transactions on Parallel and Distributed Systems, 2005.
D. Chasapis, Casas, M., Moreto, M., Vidal, R., Ayguadé, E., Labarta, J., and Valero, M., PARSECSs: Evaluating the Impact of Task Parallelism in the PARSEC Benchmark Suite, Transactions on Architecture and Code Optimization (TACO). ACM, 2015.
R. M. Badia, Herrero, J. R., Labarta, J., Pérez, J. M., Quintana-Ortí, E. S., and Quintana-Ortí, G., Parallelizing Dense and Banded Linear Algebra Libraries Using SMPSs. Concurrency and Computation: Practice and Experience, volume 21, issue 18, 2009.
R. Ferrer, Planas, J., Bellens, P., Duran, A., González, M., Martorell, X., Badia, R. M., Ayguadé, E., and Labarta, J., Optimizing the Exploitation of Multicore Processors and GPUs with OpenMP and OpenCL, Lecture Notes in Computer Science, vol. 6548/2011. Springer-Verlag Berlin Heidelberg, pp. 215-229, 2011.
A. Duran, Ayguadé, E., Badia, R. M., Labarta, J., Martinell, L., Martorell, X., and Planas, J., OmpSs: A PROPOSAL FOR PROGRAMMING HETEROGENEOUS MULTI-CORE ARCHITECTURES, Parallel Processing Letters, vol. 21, no. 2. pp. 173-193, 2011.
P. Bellens, Pérez, J. M., Badia, R. M., and Labarta, J., Making the Best of Temporal Locality: Just-in-Time Renaming and Lazy Write-Back on the Cell/B.E., International Journal of High Performance Computing Applications, vol. 25, no. 2. 2011.
M. Garcia, Labarta, J., and Corbalán, J., Hints to improve automatic load balancing with LeWI for hybrid applications, Journal of Parallel and Distributed Computing, vol. 74. pp. 2781–2794, 2014.
E. Tejedor, Farreras, M., Grove, D., Badia, R. M., Almasi, G., and Labarta, J., A high-productivity task-based programming model for clusters, Concurr. Comput. : Pract. Exper., vol. 24. John Wiley and Sons Ltd., Chichester, UK, pp. 2421–2448, 2012.
E. Tejedor, Farreras, M., Grove, D., Badia, R. M., Almasi, G., and Labarta, J., A High-Productivity Task-Based Programming Model for Clusters, Concurrency and Computation: Practice and Experience, vol. 24, no. 18. pp. 2421-2448, 2012.
J. Planas, Badia, R. M., Ayguadé, E., and Labarta, J., Hierarchical task based programming with StarSs. International Journal of High Performance Computing Applications, vol. 23, no. 3, 284 - 299, 2009.
H. Servat, Llort, G., Huck, K., Giménez, J., and Labarta, J., Framework for a Productive Performance Optimization, Parallel Computing Systems and Applications, vol. 39, no. 8. Elsevier, pp. 336-353, 2013.
E. Ayguadé, Badia, R. M., Bellens, P., Cabrera, D., Duran, A., González, M., Igual, F., Jiménez-González, D., Labarta, J., Martinell, L., Martorell, X., Mayo, R., Pérez, J. M., and Ju, H. B., Extending OpenMP to Survive the Heterogeneous Multi-core Era. International Journal of Parallel Programming, vol. 38, nos: 5-6, pages: 440-459, 2010.
D. Ródenas, Martorell, X., Ayguadé, E., Labarta, J., Almasi, G., Cascaval, C., Castaños, J., and Moreira, J., Exploiting Multilevel Parallelism using OpenMP on a Massive Multithreaded Architecture. Journal of Embedded Computing, 2006.
D. Brömmel, Gibbon, P., Garcia, M., López, V., Marjanović, V., and Labarta, J., Experience with the MPI/STARSS programming model on a large production code, Advances in Parallel Computing, vol. 25. IOS Press, Amsterdam, The Netherlands, pp. 357-366, 2014.
J. Labarta, Rodríguez, G., and Badia, R. M., An Evaluation of Marenostrum Performance. International Journal of High Performance Computing Applications (IJHPCA), 2008.
M. Garcia, Corbalán, J., Badia, R. M., and Labarta, J., Dynamic Load Balancing Approach with SMPSuperscalar and MPI, Lecture Notes in Computer Science, vol. 7174. pp. 10–23, 2012.
H. Servat, Llort, G., Giménez, J., and Labarta, J., Detailed and simultaneous power and performance analysis, Concurrency and Computation: Practice and Experience, no. Analysis of Performance and Power for Highly Parallel Systems. Wiley-Blackwell, 2013.
R. Sirvent, Badia, R. M., Bellens, P., Dialinos, V., Labarta, J., and Pérez, J. M., Demostración de uso de GRID superscalar. Boletín RedIRIS, no. 80, 2007.
P. Bellens, Pérez, J. M., Cabarcas, F., Ramirez, A., Badia, R. M., and Labarta, J., CellSs: Scheduling Techniques to Better Exploit Memory Hierarchy. Scientific Programming, vol 17, pp. 77-95, 2009.
J. M. Pérez, Bellens, P., Badia, R. M., and Labarta, J., CellSs: Making it easier to Program the Cell Broadband Engine processor. IBM Journal of R&D, Volume 51, Number 5, 2007.
X. Martorell, Smeds, N., Walkup, R., Brunheroto, J. R., Almasi, G., Gunnels, J. A., DeRose, L., Labarta, J., Escalé, F., Giménez, J., Servat, H., and Moreira, J., Blue Gene/L performance tools. IBM Journal of Research and Development, 2005.
M. Casas, Badia, R. M., and Labarta, J., Automatic Phase Detection and Structure Extraction of MPI Applications. International Journal of High Performance Computing Applications, Vol. 24, Number 3, pp. 335-360, 2010.
R. Sirvent, Pérez, J. M., Badia, R. M., and Labarta, J., Automatic Grid workflow based on imperative programming languages, vol. 18 , no. 10. Concurrency and Computation: Practice and experience, pp. 1169-1186, 2006.
International Conferences
D. Carrera, García, D., Torres, J., Ayguadé, E., and Labarta, J., WAS Control Center: An Autonomic Performance-Triggered Tracing Environment for WebSphere. 13th Euromicro Conference on Parallel, Distributed and Network-based Processing, 2005.
D. Garcia-Gasulla, Bejar, J., Cortés, U., Ayguadé, E., and Labarta, J., A Visual Embedding for the Unsupervised Extraction of Abstract Semantics, http://arxiv.org/abs/1507.08818. 2015.
S. Girona, Labarta, J., and Badia, R. M., Validation of Dimemas communication model for MPI collective operations. EuroPVM/MPI'2000, 2000.
G. Llort, Servat, H., González, J., Giménez, J., and Labarta, J., On the Usefulness of Object Tracking Techniques in Performance Analysis, Proceedings of SC13: International Conference for High Performance Computing, Networking, Storage and Analysis. ACM, New York, NY, USA, pp. 29:1–29:11, 2013.
H. Servat, Llort, G., Giménez, J., Huck, K., and Labarta, J., Unveiling Internal Evolution of Parallel Application Computation Phases, ICPP'2011: International Conference on Parallel Processing (ICPP). pp. 155-164 , 2011.
F. Guim, Rodero, I., Corbalán, J., Labarta, J., Oleksiak, A., Kuczynski, T., Szejnfeld, D., and Nabrzyski, J., Uniform Job Monitoring using the HPC-Europa Single Point of Access. International Workshop on Grid Testbeds, in conjuntion with CCGrid2006, 2006.
O. Tintó-Prims, Castrillo, M., Serradell, K., Mula-Valls, O., Cortés, A., Doblas-Reyes, F. J., and Labarta, J., Understanding Scientific Application’s Performance using BSC performance tools, International Conference on Computational Sciences. Reykjavik, 2015.
J. Guitart, Carrera, D., Torres, J., Ayguadé, E., and Labarta, J., Tuning Dynamic Web Applications using Fine-Grain Analysis, 13th Euromicro Conference on Parallel, Distributed and Network-based Processing (PDP'05). Lugano, Switzerland, pp. 84-91, 2005.
M. Milovanovic, Ferrer, R., Unsal, O., Cristal, A., Martorell, X., Ayguadé, E., Labarta, J., and Valero, M., Transactional Memory and OpenMP, International Workshop on OpenMP (IWOMP-2007). Springer-Verlag, Beijing, China, pp. 37–53, 2007.
F. Freitag, Caubet, J. J., and Labarta, J., A Trace-Scaling Agent for Parallel Application Tracing. IEEE International Conference on Tools with Artificial Intelligence (ICTAI), 2002.
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.
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., 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.
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.
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.
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.

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