Publications

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2015
T. Cortes, Queralt, A., Martí, J., and Labarta, J., DataClay: Towards Usable and Shareable Storage, Big Data and Extreme-Scale Computing (BDEC). 2015.
D. Garcia-Gasulla, Cortés, U., Ayguadé, E., and Labarta, J., Evaluating Link Prediction on Large Graphs, 18th International Conference of the Catalan Association for Artificial Intelligence. 2015.
R. Vidal, Casas, M., Moreto, M., Chasapis, D., Ferrer, R., Martorell, X., Ayguadé, E., Labarta, J., and Valero, M., Evaluating the Impact of OpenMP 4.0 Extensions on Relevant Parallel Workloads, International Workshop on OpenMP (IWOMP) . LNCS, 2015.
L. Jaulmes, Casas, M., Moreto, M., Ayguadé, E., Labarta, J., and Valero, M., Exploiting Asynchrony from Exact Forward Recovery for DUE in Iterative Solvers, SC'15 - Proceedings of the International Conference for High Performance Computing, Networking, Storage and Analysis. ACM, New York, NY, USA, pp. 53:1–53:12, 2015.
G. Ozen, Ayguadé, E., and Labarta, J., Exploring Dynamic Parallelism in OpenMP, Proceedings of the Second Workshop on Accelerator Programming Using Directives. ACM, New York, NY, USA, 2015.
H. Servat, Llort, G., González, J., Giménez, J., and Labarta, J., Low-Overhead Detection of Memory Access Patterns and Their Time Evolution, Euro-Par 2015: Parallel Processing - 21st International Conference on Parallel and Distributed Computing, Vienna, Austria, August 24-28, 2015, Proceedings, vol. 9233. Springer Link, pp. 57–69, 2015.
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.
A. Jokanovic, Sancho, J. C., Rodríguez, G., Lucero, A., Minkenberg, C., and Labarta, J., Quiet Neighborhoods: Key to Protect Job Performance Predictability, 29th IEEE International Parallel & Distributed Processing Symposium (IPDPS-2015). IPDPS-2015, 2015.
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.
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, Proceedings of the 24th International Conference on Parallel Architectures and Compilation Techniques (PACT). 2015.
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, International Conference on BigData. IEEE, 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.
O. Tintó-Prims, Castrillo, M., Serradell, K., Mula-Valls, O., Cortés, A., Doblas-Reyes, F. J., and Labarta, J., Understanding Scientific Application’s Performance, 2nd International BSC Doctoral Symposium. 2015.
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.
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.
2014
V. Subotic, Ayguadé, E., Labarta, J., and Valero, M., Automatic Exploration of Potential Parallelism in Sequential Applications, 29th International Supercomputing Conference, ISC 2014. Springer, Leipzig, Germany, pp. 156–171, 2014.
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.
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.
H. Servat, Llort, G., González, J., Giménez, J., and Labarta, J., Identifying code phases using piece-wise linear regressions, 28th IEEE International Parallel & Distributed Processing Symposium (IPDPS). pp. 941-951, 2014.
O. Subasi, Moreno, J. Arias, Labarta, J., Unsal, O., and Cristal, A., Leveraging a Task-based Asynchronous Dataflow Substrate for Efficient and Scalable Resiliency, Euro-TM/MEDIAN Workshop on Dependable Multicore and Transactional Memory Systems 2014. Viena, Austria, 2014.
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.
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.
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.
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.
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.
2013
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.
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.
V. Subotic, Sancho, J. C., Labarta, J., and Valero, M., Identifying Critical Code Sections in Dataflow Programming Models, Parallel, Distributed and Network-Based Processing (PDP), 2013 21st Euromicro International Conference on. pp. 29-37, 2013.
J. Bueno-Hedo, Badia, R. M., Martorell, X., Ayguadé, E., and Labarta, J., Implementing OmpSs Support for Regions of Data in Architectures with Multiple Address Spaces, 27th International Conference on Supercomputing (ICS). ACM, Eugene, OR, United States, pp. 359–368, 2013.
J. González, Gimenez, J., and Labarta, J., Performance Analytics: understanding parallel applications using cluster and sequence analysis, 5th International Workshop on Parallel Tools for High Performance Computing. 2013.
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.
J. Ciesko, Bueno-Hedo, J., Puzovic, N., Ramirez, A., Badia, R. M., and Labarta, J., Programmable and Scalable Reductions on Clusters, The 27th IEEE International Parallel and Distributed Processing Symposium (IPDPS 2013). IEEE, Boston, United States, pp. 560–568, 2013.
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.
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.
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.
2012
J. González, Huck, K., Giménez, J., and Labarta, J., Automatic Refinement of Parallel Applications Structure Detection, LSPP '12: Proceedings of the 2012 Workshop on Large-Scale Parallel Processing. Shanghai, China, 2012.
A. Jokanovic, Minkenberg, C., Sancho, J. C., Beivide, R., Rodriguez, G., and Labarta, J., Contention-aware Node Allocation Policy for High-performance Capacity Systems, Proceedings of the 2012 Interconnection Network Architecture: On-Chip, Multi-Chip Workshop. ACM, New York, NY, USA, pp. 5–8, 2012.
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.
A. Jokanovic, Sancho, J. C., Labarta, J., Rodriguez, G., and Minkenberg, C., Effective Quality-of-Service Policy for Capacity High-Performance Computing Systems, High Performance Computing and Communication 2012 IEEE 9th International Conference on Embedded Software and Systems (HPCC-ICESS), 2012 IEEE 14th International Conference on. pp. 598-607, 2012.
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. Labarta, Marjanovic, V., Ayguadé, E., Badia, R. M., and Valero, M., Hybrid Parallel Programming with MPI/StarSs, in Applications, Tools and Techniques on the Road to Exascale Computing, IOS Press, 2012.
E. Ayguadé, Badia, R. M., Bellens, P., Bueno-Hedo, J., Duran, A., Etsion, Y., Farreras, M., Ferrer, R., Labarta, J., Marjanovic, V., Martinell, L., Martorell, X., Pérez, J. M., Planas, J., Ramirez, A., Teruel, X., Tsalouchidou, I., and Valero, M., Hybrid/Heterogeneous Programming with OmpSs and its Software/Hardware Implications, in Programming Multi-Core and Many-Core Computing Systems (Wiley Series on Parallel and Distributed Computing) , Wiley Series on "Parallel and Distributed Computing"., John Wiley & Sons, Inc., 2012.
H. Servat, Teruel, X., Llort, G., Duran, A., Giménez, J., Martorell, X., Ayguadé, E., and Labarta, J., On the Instrumentation of OpenMP and OmpSs Tasking Constructs, Euro-Par 2012: Parallel Processing Workshops. Lecture Notes in Computer Science, vol. 7640. 5th Workshop on Productivity and Performance (PROPER 2012) Tools for HPC Application Development, Rhodes Island, Greece, pp. 414-428, 2012.
J. Bueno-Hedo, Planas, J., Duran, A., Badia, R. M., Martorell, X., Ayguadé, E., and Labarta, J., Productive Programming of GPU Clusters with OmpSs, 26th IEEE International Parallel and Distributed Processing Symposium (IPDPS 2012). IEEE Computer Society, pp. 557-568, 2012.
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.
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.
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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