Publications

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2015
J. Planas, Badia, R. M., Ayguadé, E., and Labarta, J., AMA: Asynchronous Management of Accelerators for Task-based Programming Models, Procedia Computer Science, vol. 51, no. International Conference On Computational Science, ICCS 2015 — Computational Science at the Gates of Nature. pp. 130-139, 2015.
K. Chronaki, Rico, A., Badia, R. M., Ayguadé, E., Labarta, J., and Valero, M., Criticality-Aware Dynamic Task Scheduling for Heterogeneous Architectures, Proceedings of the 29th ACM on International Conference on Supercomputing. ACM, New York, NY, USA, pp. 329–338, 2015.
T. Cortes, Queralt, A., Martí, J., and Labarta, J., DataClay: Towards Usable and Shareable Storage, Big Data and Extreme-Scale Computing (BDEC). 2015.
R. Al-Omairy, Miranda, G., Ltaief, H., Badia, R., Martorell, X., Labarta, J., and Keyes, D., Dense Matrix Computations on NUMA Architectures with Distance-Aware Work Stealing, Supercomputing frontiers and innovations, vol. 2. 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. pp. 90-99, 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) , no. Lecture Notes in Computer Science. LNCS, pp. 60-72, 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.
T. Martsinkevich, Subasi, O., Ünsal, O., Cappello, F., and Labarta, J., Fault-Tolerant Protocol for Hybrid Task-Parallel Message-Passing Applications, 2015 IEEE International Conference on Cluster Computing . IEEE, Chicago, IL, USA, pp. 563-570, 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.
O. Subasi, Zyulkyarov, F., Ünsal, O., and Labarta, J., Marriage Between Coordinated and Uncoordinated Checkpointing for the Exascale Era, 2015 IEEE 17th International Conference on High Performance Computing and Communications (HPCC) . IEEE, New York, NY, USA, pp. 470-478, 2015.
O. Subasi, Arias, J., Ünsal, O., Labarta, J., and Cristal, A., NanoCheckpoints: A Task-Based Asynchronous Dataflow Framework for Efficient and Scalable Checkpoint/Restart, 2015 23rd Euromicro International Conference on Parallel, Distributed, and Network-Based Processing . IEEE, Turku, pp. 99-102, 2015.
O. Subasi, Arias, J., Ünsal, O., Labarta, J., and Cristal, A., Programmer-directed partial redundancy for resilient HPC, CF '15 Proceedings of the 12th ACM International Conference on Computing Frontiers . ACM Press, Ischia, ItalyNew York, New York, USA, pp. 1-2, 2015.
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.
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.
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.
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.
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. 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.
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.
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.

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