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2020 – today
- 2024
[j74]Pouya Esmaili-Dokht
, Miquel Guiot, Petar Radojkovic, Xavier Martorell, Eduard Ayguadé, Jesús Labarta, Jason Adlard, Paolo Amato, Marco Sforzin:
$\mathcal{O}(n)$O(n) Key-Value Sort With Active Compute Memory. IEEE Trans. Computers 73(5): 1341-1356 (2024)- [c283]Pablo Vizcaino, Jesús Labarta, Filippo Mantovani:
Graph Computing on Long Vector Architectures (Yes, It Works!). IPDPS (Workshops) 2024: 986-995 - [c282]Pouya Esmaili-Dokht, Francesco Sgherzi, Valéria Soldera Girelli, Isaac Boixaderas, Mariana Carmin, Alireza Monemi, Adrià Armejach, Estanislao Mercadal, Germán Llort, Petar Radojkovic, Miquel Moretó, Judit Giménez, Xavier Martorell, Eduard Ayguadé, Jesús Labarta, Emanuele Confalonieri, Rishabh Dubey, Jason Adlard:
A Mess of Memory System Benchmarking, Simulation and Application Profiling. MICRO 2024: 136-152 - [i23]Pouya Esmaili-Dokht, Francesco Sgherzi, Valéria Soldera Girelli, Isaac Boixaderas, Mariana Carmin, Alireza Momeni, Adrià Armejach, Estanislao Mercadal, Germán Llort, Petar Radojkovic, Miquel Moretó, Judit Giménez, Xavier Martorell, Eduard Ayguadé, Jesús Labarta, Emanuele Confalonieri, Rishabh Dubey, Jason Adlard:
A Mess of Memory System Benchmarking, Simulation and Application Profiling. CoRR abs/2405.10170 (2024) - [i22]Pablo Vizcaino, Filippo Mantovani, Jesús Labarta, Roger Ferrer:
RAVE: RISC-V Analyzer of Vector Executions, a QEMU tracing plugin. CoRR abs/2409.13639 (2024) - 2023
- [j73]Pablo Vizcaino, Filippo Mantovani, Roger Ferrer, Jesús Labarta:
Acceleration with long vector architectures: Implementation and evaluation of the FFT kernel on NEC SX-Aurora and RISC-V vector extension. Concurr. Comput. Pract. Exp. 35(20) (2023) - [c281]Pablo Vizcaino, Georgios Ieronymakis, Nikolaos Dimou, Vassilis Papaefstathiou, Jesús Labarta, Filippo Mantovani:
Short Reasons for Long Vectors in HPC CPUs: A Study Based on RISC-V. SC Workshops 2023: 1543-1549 - [c280]Filippo Mantovani, Pablo Vizcaino, Fabio Banchelli, Marta Garcia-Gasulla, Roger Ferrer, Georgios Ieronymakis, Nikolaos Dimou, Vassilis Papaefstathiou, Jesús Labarta:
Software Development Vehicles to Enable Extended and Early Co-design: A RISC-V and HPC Case of Study. ISC Workshops 2023: 526-537 - [i21]Filippo Mantovani, Pablo Vizcaino, Fabio Banchelli, Marta Garcia-Gasulla, Roger Ferrer, Giorgos Ieronymakis, Nikos Dimou, Vassilis Papaefstathiou, Jesús Labarta:
Software Development Vehicles to enable extended and early co-design: a RISC-V and HPC case of study. CoRR abs/2306.01797 (2023) - [i20]Pablo Vizcaino, Georgios Ieronymakis, Nikolaos Dimou, Vassilis Papaefstathiou, Jesús Labarta, Filippo Mantovani:
Short reasons for long vectors in HPC CPUs: a study based on RISC-V. CoRR abs/2309.06865 (2023) - [i19]Federico Rossi, Marco Cococcioni, Roger Ferrer Ibáñez, Jesús Labarta, Filippo Mantovani, Marc Casas, Emanuele Ruffaldi, Sergio Saponara:
Compressed Real Numbers for AI: a case-study using a RISC-V CPU. CoRR abs/2309.07158 (2023) - 2022
- [j72]Ferran Parés, Anna Arias-Duart, Dario Garcia-Gasulla, Gema Campo-Francés, Nina Viladrich, Eduard Ayguadé, Jesús Labarta:
The MAMe dataset: on the relevance of high resolution and variable shape image properties. Appl. Intell. 52(10): 11703-11724 (2022) - [j71]Carlos Puerto-Santana, Concha Bielza, Javier Diaz-Rozo, Guillem Ramirez-Gargallo, Filippo Mantovani, Gaizka Virumbrales, Jesús Labarta, Pedro Larrañaga:
Asymmetric HMMs for Online Ball-Bearing Health Assessments. IEEE Internet Things J. 9(20): 20160-20177 (2022) - [c279]Marc Jordà, Siddharth Rai, Eduard Ayguadé, Jesús Labarta, Antonio J. Peña:
ecoHMEM: Improving Object Placement Methodology for Hybrid Memory Systems in HPC. CLUSTER 2022: 278-288 - [c278]Tim Hotfilter, Fabian Kreß, Fabian Kempf, Jürgen Becker, Juan Miguel De Haro Ruiz, Daniel Jiménez-González, Miquel Moretó, Carlos Álvarez, Jesús Labarta, Imen Baili:
Towards Reconfigurable Accelerators in HPC: Designing a Multipurpose eFPGA Tile for Heterogeneous SoCs. DATE 2022: 628-631 - [c277]Jimmy Aguilar Mena, Omar Shaaban, Vicenç Beltran, Paul M. Carpenter, Eduard Ayguadé, Jesús Labarta Mancho:
OmpSs-2@Cluster: Distributed Memory Execution of Nested OpenMP-style Tasks. Euro-Par 2022: 319-334 - [c276]Jimmy Aguilar Mena, Omar Shaaban, Victor Lopez, Marta Garcia, Paul M. Carpenter, Eduard Ayguadé, Jesús Labarta:
Transparent load balancing of MPI programs using [email protected] and DLB. ICPP 2022: 55:1-55:11 - [c275]Kaveh Mahdavi, Jesús Labarta, Judit Giménez, Atefeh Mousavinia, Atiyeh Mousavinia:
Feature Space Curvature Map: A Method To Homogenize Cluster Densities. IJCNN 2022: 1-10 - [c274]Juan Miguel De Haro Ruiz, Rubén Cano, Carlos Álvarez, Daniel Jiménez-González, Xavier Martorell, Eduard Ayguadé, Jesús Labarta, François Abel, Burkhard Ringlein, Beat Weiss:
OmpSs@cloudFPGA: An FPGA Task-Based Programming Model with Message Passing. IPDPS 2022: 828-838 - [c273]Omar Shaaban, Jimmy Aguilar Mena, Vicenç Beltran, Paul M. Carpenter, Eduard Ayguadé, Jesús Labarta Mancho:
Automatic aggregation of subtask accesses for nested OpenMP-style tasks. SBAC-PAD 2022: 315-325 - 2021
- [j70]Ferran Parés Pont, Pedro Megias, Dario Garcia-Gasulla, Marta Garcia-Gasulla, Eduard Ayguadé, Jesús Labarta:
Size & Shape Matters: The Need of HPC Benchmarks of High Resolution Image Training for Deep Learning. Supercomput. Front. Innov. 8(1): 28-44 (2021) - [j69]Juan Miguel De Haro Ruiz, Jaume Bosch, Antonio Filgueras, Miquel Vidal, Daniel Jiménez-González, Carlos Álvarez, Xavier Martorell, Eduard Ayguadé, Jesús Labarta:
OmpSs@FPGA Framework for High Performance FPGA Computing. IEEE Trans. Computers 70(12): 2029-2042 (2021) - [c272]Pablo Vizcaino, Filippo Mantovani, Jesús Labarta:
Accelerating FFT Using NEC SX-Aurora Vector Engine. Euro-Par Workshops 2021: 179-190 - [c271]Kaveh Mahdavi, Jesús Labarta Mancho, Judit Giménez Lucas:
Organization Component Analysis: The method for extracting insights from the shape of cluster. IJCNN 2021: 1-10 - 2020
- [j68]Pedro Valero-Lara, Sandra Catalán, Xavier Martorell, Tetsuzo Usui, Jesús Labarta:
sLASs: A fully automatic auto-tuned linear algebra library based on OpenMP extensions implemented in OmpSs (LASs Library). J. Parallel Distributed Comput. 138: 153-171 (2020) - [c270]Sandra Catalán, Tetsuzo Usui, Leonel Toledo, Xavier Martorell, Jesús Labarta, Pedro Valero-Lara:
Towards an Auto-Tuned and Task-Based SpMV (LASs Library). IWOMP 2020: 115-129 - [i18]Harald Servat, Jesús Labarta, Hans-Christian Hoppe, Judit Giménez, Antonio J. Peña:
Understanding Memory Access Patterns Using the BSC Performance Tools. CoRR abs/2005.05872 (2020) - [i17]Pedro Valero-Lara, Raül Sirvent, Antonio J. Peña, Jesús Labarta:
MPI+OpenMP Tasking Scalability for Multi-Morphology Simulations of the Human Brain. CoRR abs/2005.06332 (2020) - [i16]Ferran Parés, Anna Arias-Duart, Dario Garcia-Gasulla, Gema Campo-Francés, Nina Viladrich, Eduard Ayguadé, Jesús Labarta:
A Closer Look at Art Mediums: The MAMe Image Classification Dataset. CoRR abs/2007.13693 (2020)
2010 – 2019
- 2019
- [j67]Pedro Valero-Lara, Diego Andrade, Raül Sirvent, Jesús Labarta, Basilio B. Fraguela, Ramon Doallo:
A Fast Solver for Large Tridiagonal Systems on Multi-Core Processors (Lass Library). IEEE Access 7: 23365-23378 (2019) - [j66]Pedro Valero-Lara, Raül Sirvent, Antonio J. Peña, Jesús Labarta:
MPI+OpenMP tasking scalability for multi-morphology simulations of the human brain. Parallel Comput. 84: 50-61 (2019) - [j65]Kevin Sala, Xavier Teruel, Josep M. Pérez, Antonio J. Peña, Vicenç Beltran, Jesús Labarta:
Integrating blocking and non-blocking MPI primitives with task-based programming models. Parallel Comput. 85: 153-166 (2019) - [j64]Armand Vilalta, Dario Garcia-Gasulla, Ferran Parés, Eduard Ayguadé, Jesús Labarta, Eduardo Ulises Moya-Sánchez, Ulises Cortés:
Studying the impact of the Full-Network embedding on multimodal pipelines. Semantic Web 10(5): 909-923 (2019) - [c269]Kaveh Mahdavi, Jesús Labarta, Judit Giménez:
Unsupervised Feature Selection for Noisy Data. ADMA 2019: 79-94 - [c268]Cesare Cugnasco, Hadrien Calmet, Pol Santamaria, Raül Sirvent, Ane Beatriz Eguzkitza, Guillaume Houzeaux, Yolanda Becerra, Jordi Torres, Jesús Labarta:
The OTree: Multidimensional Indexing with efficient data Sampling for HPC. IEEE BigData 2019: 433-440 - [c267]Raquel Pérez-Arnal, Dario Garcia-Gasulla, David Torrents, Ferran Parés, Ulises Cortés, Jesús Labarta, Eduard Ayguadé:
Random Forest as a Tumour Genetic Marker Extractor. CCIA 2019: 35-44 - [c266]Victor Gimenez-Abalos, Armand Vilalta, Dario Garcia-Gasulla, Jesús Labarta, Eduard Ayguadé:
Feature Discriminativity Estimation in CNNs for Transfer Learning. CCIA 2019: 64-73 - [c265]Sara Royuela, Maria A. Serrano, Marta Garcia-Gasulla, Sergi Mateo Bellido, Jesús Labarta, Eduardo Quiñones:
The Cooperative Parallel: A Discussion About Run-Time Schedulers for Nested Parallelism. IWOMP 2019: 171-185 - [c264]Joel Criado, Marta Garcia-Gasulla, Jesús Labarta, Arghya Chatterjee, Oscar R. Hernandez, Raül Sirvent, Gonzalo Alvarez:
Optimization of Condensed Matter Physics Application with OpenMP Tasking Model. IWOMP 2019: 291-305 - [c263]Sandra Catalán, Xavier Martorell, Jesús Labarta, Tetsuzo Usui, Leonel Antonio Toledo Díaz, Pedro Valero-Lara:
Accelerating Conjugate Gradient using OmpSs. PDCAT 2019: 121-126 - [c262]Pedro Valero-Lara, Sandra Catalán, Xavier Martorell, Jesús Labarta:
BLAS-3 Optimized by OmpSs Regions (LASs Library). PDP 2019: 25-32 - [i15]Kevin Sala, Xavier Teruel, Josep M. Pérez, Antonio J. Peña, Vicenç Beltran, Jesús Labarta:
Integrating Blocking and Non-Blocking MPI Primitives with Task-Based Programming Models. CoRR abs/1901.03271 (2019) - [i14]Victor Gimenez-Abalos, Armand Vilalta, Dario Garcia-Gasulla, Jesús Labarta, Eduard Ayguadé:
Feature discriminativity estimation in CNNs for transfer learning. CoRR abs/1911.03332 (2019) - [i13]Raquel Pérez-Arnal, Dario Garcia-Gasulla, David Torrents, Ferran Parés, Ulises Cortés, Jesús Labarta, Eduard Ayguadé:
Random Forest as a Tumour Genetic Marker Extractor. CoRR abs/1911.11471 (2019) - 2018
- [j63]Javier Conejero, Sandra Corella, Rosa M. Badia, Jesús Labarta:
Task-based programming in COMPSs to converge from HPC to big data. Int. J. High Perform. Comput. Appl. 32(1): 45-60 (2018) - [j62]Omer Subasi, Tatiana V. Martsinkevich, Ferad Zyulkyarov, Osman S. Unsal, Jesús Labarta, Franck Cappello:
Unified fault-tolerance framework for hybrid task-parallel message-passing applications. Int. J. High Perform. Comput. Appl. 32(5): 641-657 (2018) - [j61]Dario Garcia-Gasulla, Ferran Parés, Armand Vilalta, Jonathan Moreno, Eduard Ayguadé, Jesús Labarta, Ulises Cortés, Toyotaro Suzumura:
On the Behavior of Convolutional Nets for Feature Extraction. J. Artif. Intell. Res. 61: 563-592 (2018) - [j60]Harald Servat, Jesús Labarta, Hans-Christian Hoppe, Judit Giménez, Antonio J. Peña:
Understanding memory access patterns using the BSC performance tools. Parallel Comput. 78: 1-14 (2018) - [j59]Omer Subasi, Sheng Di, Leonardo Bautista-Gomez, Prasanna Balaprakash, Osman S. Unsal, Jesús Labarta, Adrián Cristal, Sriram Krishnamoorthy, Franck Cappello:
Exploring the capabilities of support vector machines in detecting silent data corruptions. Sustain. Comput. Informatics Syst. 19: 277-290 (2018) - [j58]Luc Jaulmes, Miquel Moretó, Eduard Ayguadé, Jesús Labarta, Mateo Valero, Marc Casas:
Asynchronous and Exact Forward Recovery for Detected Errors in Iterative Solvers. IEEE Trans. Parallel Distributed Syst. 29(9): 1961-1974 (2018) - [c261]Raquel Pérez-Arnal, Armand Vilalta, Dario Garcia-Gasulla, Ulises Cortés, Eduard Ayguadé, Jesús Labarta:
A Visual Distance for WordNet. CCIA 2018: 266-270 - [c260]Jaume Bosch, Xubin Tan, Antonio Filgueras, Miquel Vidal, Marc Mateu, Daniel Jiménez-González, Carlos Álvarez, Xavier Martorell, Eduard Ayguadé, Jesús Labarta:
Application Acceleration on FPGAs with OmpSs@FPGA. FPT 2018: 70-77 - [c259]Dario Garcia-Gasulla, Armand Vilalta, Ferran Parés, Eduard Ayguadé, Jesús Labarta, Ulises Cortés, Toyotaro Suzumura:
An Out-of-the-box Full-Network Embedding for Convolutional Neural Networks. ICBK 2018: 168-175 - [c258]Isaac Sánchez Barrera, Miquel Moretó, Eduard Ayguadé, Jesús Labarta, Mateo Valero, Marc Casas:
Reducing Data Movement on Large Shared Memory Systems by Exploiting Computation Dependencies. ICS 2018: 207-217 - [c257]Lluc Alvarez, Marc Casas, Jesús Labarta, Eduard Ayguadé, Mateo Valero, Miquel Moretó:
Runtime-Guided Management of Stacked DRAM Memories in Task Parallel Programs. ICS 2018: 218-228 - [c256]Damien Dosimont, Harald Servat, Michael Wagner, Judit Giménez, Jesús Labarta:
Identifying the Temporal Structure of Parallel Application Computation Phases. HPCS 2018: 515-522 - [c255]Pedro Valero-Lara, Ivan Martínez-Pérez, Sergi Mateo, Raül Sirvent, Vicenç Beltran, Xavier Martorell, Jesús Labarta:
Variable Batched DGEMM. PDP 2018: 363-367 - [c254]Isaac Sánchez Barrera, Marc Casas, Miquel Moretó, Eduard Ayguadé, Jesús Labarta, Mateo Valero:
Graph partitioning applied to DAG scheduling to reduce NUMA effects. PPoPP 2018: 419-420 - [c253]Pedro Valero-Lara, Raül Sirvent, Antonio J. Peña, Xavier Martorell, Jesús Labarta:
MPI+OpenMP Tasking Scalability for the Simulation of the Human Brain: Human Brain Project. EuroMPI 2018: 5:1-5:8 - [c252]Kevin Sala, Jorge Bellón, Pau Farré, Xavier Teruel, Josep M. Pérez, Antonio J. Peña, Daniel J. Holmes, Vicenç Beltran, Jesús Labarta:
Improving the Interoperability between MPI and Task-Based Programming Models. EuroMPI 2018: 6:1-6:11 - [e4]Bronis R. de Supinski, Pedro Valero-Lara, Xavier Martorell, Sergi Mateo Bellido, Jesús Labarta:
Evolving OpenMP for Evolving Architectures - 14th International Workshop on OpenMP, IWOMP 2018, Barcelona, Spain, September 26-28, 2018, Proceedings. Lecture Notes in Computer Science 11128, Springer 2018, ISBN 978-3-319-98520-6 [contents] - [i12]Raquel Pérez-Arnal, Armand Vilalta, Dario Garcia-Gasulla, Ulises Cortés, Eduard Ayguadé, Jesús Labarta:
A Visual Distance for WordNet. CoRR abs/1804.09558 (2018) - [i11]Marta Garcia-Gasulla, Guillaume Houzeaux, Roger Ferrer, Antoni Artigues, Víctor López, Jesús Labarta, Mariano Vázquez:
MPI+X: task-based parallelization and dynamic load balance of finite element assembly. CoRR abs/1805.03949 (2018) - 2017
- [j57]Dario Garcia-Gasulla, Eduard Ayguadé, Jesús Labarta, Javier Béjar, Ulises Cortés, Toyotaro Suzumura, R. Chen:
A visual embedding for the unsupervised extraction of abstract semantics. Cogn. Syst. Res. 42: 73-81 (2017) - [j56]Enric Tejedor, Yolanda Becerra, Guillem Alomar, Anna Queralt, Rosa M. Badia, Jordi Torres, Toni Cortes, Jesús Labarta:
PyCOMPSs: Parallel computational workflows in Python. Int. J. High Perform. Comput. Appl. 31(1): 66-82 (2017) - [j55]Rosa M. Badia, Eduard Ayguadé, Jesús Labarta:
Workflows for Science: a Challenge when Facing the Convergence of HPC and Big Data. Supercomput. Front. Innov. 4(1): 27-47 (2017) - [j54]Kallia Chronaki, Alejandro Rico, Marc Casas, Miquel Moretó, Rosa M. Badia, Eduard Ayguadé, Jesús Labarta, Mateo Valero:
Task Scheduling Techniques for Asymmetric Multi-Core Systems. IEEE Trans. Parallel Distributed Syst. 28(7): 2074-2087 (2017) - [c251]Omer Subasi, Gulay Yalcin, Ferad Zyulkyarov, Osman S. Unsal, Jesús Labarta:
Designing and Modelling Selective Replication for Fault-tolerant HPC Applications. CCGrid 2017: 452-457 - [c250]Harald Servat, Antonio J. Peña, Germán Llort, Estanislao Mercadal, Hans-Christian Hoppe, Jesús Labarta:
Automating the Application Data Placement in Hybrid Memory Systems. CLUSTER 2017: 126-136 - [c249]Omer Subasi, Sheng Di, Prasanna Balaprakash, Osman S. Unsal, Jesús Labarta, Adrián Cristal, Sriram Krishnamoorthy, Franck Cappello:
MACORD: Online Adaptive Machine Learning Framework for Silent Error Detection. CLUSTER 2017: 717-724 - [c248]Ferran Parés, Dario Garcia-Gasulla, Armand Vilalta, Jonathan Moreno, Eduard Ayguadé, Jesús Labarta, Ulises Cortés, Toyotaro Suzumura:
Fluid Communities: A Competitive, Scalable and Diverse Community Detection Algorithm. COMPLEX NETWORKS 2017: 229-240 - [c247]Antoni Artigues, Cesare Cugnasco, Yolanda Becerra, Fernando M. Cucchietti, Guillaume Houzeaux, Mariano Vázquez, Jordi Torres, Eduard Ayguadé, Jesús Labarta:
ParaView + Alya + D8tree: Integrating High Performance Computing and High Performance Data Analytics. ICCS 2017: 465-474 - [c246]Pedro Valero-Lara, Ivan Martínez-Pérez, Antonio J. Peña, Xavier Martorell, Raül Sirvent, Jesús Labarta:
cuHinesBatch: Solving Multiple Hines systems on GPUs Human Brain Project*. ICCS 2017: 566-575 - [c245]Michael Wagner, Germán Llort, Estanislao Mercadal, Judit Giménez, Jesús Labarta:
Performance Analysis of Parallel Python Applications. ICCS 2017: 2171-2179 - [c244]Harald Servat, Jesús Labarta, Hans-Christian Hoppe, Judit Giménez, Antonio J. Peña:
Integrating Memory Perspective into the BSC Performance Tools. ICPP Workshops 2017: 231-232 - [c243]Michael Wagner, Víctor López, Julian Morillo, Carlo Cavazzoni, Fabio Affinito, Judit Giménez, Jesús Labarta:
Performance Analysis and Optimization of the FFTXlib on the Intel Knights Landing Architecture. ICPP Workshops 2017: 243-250 - [c242]Josep M. Pérez, Vicenç Beltran, Jesús Labarta, Eduard Ayguadé:
Improving the Integration of Task Nesting and Dependencies in OpenMP. IPDPS 2017: 809-818 - [c241]Gladys Utrera, Jordi Fornes, Jesús Labarta:
Noise Inspector Tool. PDP 2017: 543-546 - [c240]Dario Garcia-Gasulla, Armand Vilalta, Ferran Parés, Jonathan Moreno, Eduard Ayguadé, Jesús Labarta, Ulises Cortés, Toyotaro Suzumura:
Building Graph Representations of Deep Vector Embeddings. SemDeep@IWCS 2017: 9-15 - [c239]Armand Vilalta, Dario Garcia-Gasulla, Ferran Parés, Jonathan Moreno, Eduard Ayguadé, Jesús Labarta, Ulises Cortés, Toyotaro Suzumura:
Full-Network Embedding in a Multimodal Embedding Pipeline. SemDeep@IWCS 2017: 24-32 - [i10]Dario Garcia-Gasulla, Ferran Parés, Armand Vilalta, Jonathan Moreno, Eduard Ayguadé, Jesús Labarta, Ulises Cortés, Toyotaro Suzumura:
On the Behavior of Convolutional Nets for Feature Extraction. CoRR abs/1703.01127 (2017) - [i9]Ferran Parés, Dario Garcia-Gasulla, Armand Vilalta, Jonathan Moreno, Eduard Ayguadé, Jesús Labarta, Ulises Cortés, Toyotaro Suzumura:
Fluid Communities: A Community Detection Algorithm. CoRR abs/1703.09307 (2017) - [i8]Dario Garcia-Gasulla, Armand Vilalta, Ferran Parés, Jonathan Moreno, Eduard Ayguadé, Jesús Labarta, Ulises Cortés, Toyotaro Suzumura:
An Out-of-the-box Full-network Embedding for Convolutional Neural Networks. CoRR abs/1705.07706 (2017) - [i7]Dario Garcia-Gasulla, Armand Vilalta, Ferran Parés, Jonathan Moreno, Eduard Ayguadé, Jesús Labarta, Ulises Cortés, Toyotaro Suzumura:
Building Graph Representations of Deep Vector Embeddings. CoRR abs/1707.07465 (2017) - [i6]Armand Vilalta, Dario Garcia-Gasulla, Ferran Parés, Eduard Ayguadé, Jesús Labarta, Ulises Cortés, Toyotaro Suzumura:
Full-Network Embedding in a Multimodal Embedding Pipeline. CoRR abs/1707.09872 (2017) - 2016
- [j53]Harald Servat, Germán Llort, Judit Giménez, Jesús Labarta:
Detailed and simultaneous power and performance analysis. Concurr. Comput. Pract. Exp. 28(2): 252-273 (2016) - [j52]Dimitrios Chasapis, Marc Casas, Miquel Moretó, Raul Vidal, Eduard Ayguadé, Jesús Labarta, Mateo Valero:
PARSECSs: Evaluating the Impact of Task Parallelism in the PARSEC Benchmark Suite. ACM Trans. Archit. Code Optim. 12(4): 41:1-41:22 (2016) - [c238]Paul Caheny, Marc Casas, Miquel Moretó, Hervé Gloaguen, Maxime Saintes, Eduard Ayguadé, Jesús Labarta, Mateo Valero:
Reducing Cache Coherence Traffic with Hierarchical Directory Cache and NUMA-Aware Runtime Scheduling. PACT 2016: 275-286 - [c237]Kallia Chronaki, Miquel Moretó, Marc Casas, Alejandro Rico, Rosa M. Badia, Eduard Ayguadé, Jesús Labarta, Mateo Valero:
POSTER: Exploiting Asymmetric Multi-Core Processors with Flexible System Sofware. PACT 2016: 415-417 - [c236]Guray Ozen, Eduard Ayguadé, Jesús Labarta:
POSTER: Collective Dynamic Parallelism for Directive Based GPU Programming Languages and Compilers. PACT 2016: 423-424 - [c235]Omer Subasi, Sheng Di, Leonardo Bautista-Gomez, Prasanna Balaprakash, Osman S. Ünsal, Jesús Labarta, Adrián Cristal, Franck Cappello:
Spatial Support Vector Regression to Detect Silent Errors in the Exascale Era. CCGrid 2016: 413-424 - [c234]Dario Garcia-Gasulla, Jonathan Moreno, Raúl Ramos-Pollán, Romel Casadiegos Barrios, Javier Béjar, Ulises Cortés, Eduard Ayguadé, Jesús Labarta, Toyotaro Suzumura:
On the Representativeness of Convolutional Neural Networks Layers. CCIA 2016: 29-38 - [c233]Omer Subasi, Gulay Yalcin, Ferad Zyulkyarov, Osman S. Unsal, Jesús Labarta:
A Runtime Heuristic to Selectively Replicate Tasks for Application-Specific Reliability Targets. CLUSTER 2016: 498-505 - [c232]Dimitrios Chasapis, Marc Casas, Miquel Moretó, Martin Schulz, Eduard Ayguadé, Jesús Labarta, Mateo Valero:
Runtime-Guided Mitigation of Manufacturing Variability in Power-Constrained Multi-Socket NUMA Nodes. ICS 2016: 5:1-5:12 - [c231]Emilio Castillo, Miquel Moretó, Marc Casas, Lluc Alvarez, Enrique Vallejo, Kallia Chronaki, Rosa M. Badia, José Luis Bosque, Ramón Beivide, Eduard Ayguadé, Jesús Labarta, Mateo Valero:
CATA: Criticality Aware Task Acceleration for Multicore Processors. IPDPS 2016: 413-422 - [c230]Chris J. Newburn, Gaurav Bansal, Michael Wood, Luis Crivelli, Judit Planas, Alejandro Duran, Paulo Souza, Leonardo Borges, Piotr Luszczek, Stanimire Tomov, Jack J. Dongarra, Hartwig Anzt, Mark Gates, Azzam Haidar, Yulu Jia, Khairul Kabir, Ichitaro Yamazaki, Jesús Labarta:
Heterogeneous Streaming. IPDPS Workshops 2016: 611-620 - [c229]Omer Subasi, Osman S. Ünsal, Jesús Labarta, Gulay Yalcin, Adrián Cristal:
CRC-Based Memory Reliability for Task-Parallel HPC Applications. IPDPS 2016: 1101-1112 - [c228]Germán Llort, Antonio Filgueras, Daniel Jiménez-González, Harald Servat, Xavier Teruel, Estanislao Mercadal, Carlos Álvarez, Judit Giménez, Xavier Martorell, Eduard Ayguadé, Jesús Labarta:
The Secrets of the Accelerators Unveiled: Tracing Heterogeneous Executions Through OMPT. IWOMP 2016: 217-236 - [c227]Guray Ozen, Sergi Mateo, Eduard Ayguadé, Jesús Labarta, James Beyer:
Multiple Target Task Sharing Support for the OpenMP Accelerator Model. IWOMP 2016: 268-280 - [c226]Jan Ciesko, Sergi Mateo, Xavier Teruel, Xavier Martorell, Eduard Ayguadé, Jesús Labarta:
Supporting Adaptive Privatization Techniques for Irregular Array Reductions in Task-Parallel Programming Models. IWOMP 2016: 336-349 - [c225]Harald Servat, Germán Llort, Juan Gonzalez, Judit Giménez, Jesús Labarta:
Bio-Inspired Call-Stack Reconstruction for Performance Analysis. PDP 2016: 82-90 - [c224]Nikola Rajovic, Alejandro Rico, Filippo Mantovani, Daniel Ruiz, Josep Oriol Vilarrubi, Constantino Gómez, Luna Backes, Diego Nieto, Harald Servat, Xavier Martorell, Jesús Labarta, Eduard Ayguadé, Chris Adeniyi-Jones, Said Derradji, Hervé Gloaguen, Piero Lanucara, Nico Sanna, Jean-François Méhaut, Kevin Pouget, Brice Videau, Eric Boyer, Momme Allalen, Axel Auweter, David Brayford, Daniele Tafani, Volker Weinberg, Dirk Brömmel, René Halver, Jan H. Meinke, Ramón Beivide, Mariano Benito, Enrique Vallejo, Mateo Valero, Alex Ramírez:
The mont-blanc prototype: an alternative approach for HPC systems. SC 2016: 444-455 - [c223]Thomas Grass, César Allande, Adrià Armejach, Alejandro Rico, Eduard Ayguadé, Jesús Labarta, Mateo Valero, Marc Casas, Miquel Moretó:
MUSA: a multi-level simulation approach for next-generation HPC machines. SC 2016: 526-537 - [i5]Dario Garcia-Gasulla, Eduard Ayguadé, Jesús Labarta, Ulises Cortés:
Limitations and Alternatives for the Evaluation of Large-scale Link Prediction. CoRR abs/1611.00547 (2016) - [i4]Dario Garcia-Gasulla, Eduard Ayguadé, Jesús Labarta, Ulises Cortés, Toyotaro Suzumura:
Hierarchical Hyperlink Prediction for the WWW. CoRR abs/1611.09084 (2016) - 2015
- [j51]Rabab Alomairy, Guillermo Miranda, Hatem Ltaief, Rosa M. Badia, Xavier Martorell, Jesús Labarta, David E. Keyes:
Dense Matrix Computations on NUMA Architectures with Distance-Aware Work Stealing. Supercomput. Front. Innov. 2(1): 49-72 (2015) - [c222]Lluc Alvarez, Miquel Moretó, Marc Casas, Emilio Castillo, Xavier Martorell, Jesús Labarta, Eduard Ayguadé, Mateo Valero:
Runtime-Guided Management of Scratchpad Memories in Multicore Architectures. PACT 2015: 379-391 - [c221]Rubén Tous,