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Juan A. Rico-Gallego
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2020 – today
- 2024
- [j17]Sergio Moreno-Álvarez, Mercedes Eugenia Paoletti, A. J. Sanchez-Fernandez, Juan A. Rico-Gallego, Lirong Han, Juan Mario Haut:
Federated learning meets remote sensing. Expert Syst. Appl. 255: 124583 (2024) - [j16]A. J. Sanchez-Fernandez, Sergio Moreno-Álvarez, Juan-Antonio Rico-Gallego, Siham Tabik:
Self-Supervised Learning on Small In-Domain Datasets Can Overcome Supervised Learning in Remote Sensing. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 17: 12797-12810 (2024) - 2023
- [j15]David Cortés-Polo, Luis-Ignacio Jimenez, Mercedes Eugenia Paoletti, Jesús Calle-Cancho, Juan A. Rico-Gallego:
Orthogonal projection for anomaly detection in networking datasets. J. Ambient Intell. Humaniz. Comput. 14(6): 7957-7966 (2023) - 2022
- [j14]Emin Nuriyev, Juan-Antonio Rico-Gallego, Alexey L. Lastovetsky:
Model-based selection of optimal MPI broadcast algorithms for multi-core clusters. J. Parallel Distributed Comput. 165: 1-16 (2022) - [j13]Sergio Moreno-Álvarez, Mercedes Eugenia Paoletti, Gabriele Cavallaro, Juan A. Rico-Gallego, Juan Mario Haut:
Remote Sensing Image Classification Using CNNs With Balanced Gradient for Distributed Heterogeneous Computing. IEEE Geosci. Remote. Sens. Lett. 19: 1-5 (2022) - [j12]Sergio Moreno-Álvarez, Mercedes Eugenia Paoletti, Juan A. Rico-Gallego, Juan Mario Haut:
Heterogeneous gradient computing optimization for scalable deep neural networks. J. Supercomput. 78(11): 13455-13469 (2022) - [c13]Sergio Moreno-Álvarez, Mercedes Eugenia Paoletti, Juan A. Rico-Gallego, Gabriele Cavallaro, Juan Mario Haut:
Optimizing Distributed Deep Learning in Heterogeneous Computing Platforms for Remote Sensing Data Classification. IGARSS 2022: 2726-2729 - 2021
- [j11]Sergio Moreno-Álvarez, Juan Mario Haut, Mercedes Eugenia Paoletti, Juan A. Rico-Gallego:
Heterogeneous model parallelism for deep neural networks. Neurocomputing 441: 1-12 (2021) - [j10]Juan Mario Haut, Mercedes Eugenia Paoletti, Sergio Moreno-Álvarez, Javier Plaza, Juan-Antonio Rico-Gallego, Antonio Plaza:
Distributed Deep Learning for Remote Sensing Data Interpretation. Proc. IEEE 109(8): 1320-1349 (2021) - 2020
- [j9]Juan A. Rico-Gallego, Juan Carlos Díaz Martín, Sergio Moreno-Álvarez, Carmen Calvo-Jurado, Juan-Luis García Zapata:
Performance evaluation of model-driven partitioning algorithms for data-parallel kernels on heterogeneous platforms. Comput. Math. Methods 2(1) (2020) - [j8]Juan A. Rico-Gallego, Sergio Moreno-Álvarez, Juan Carlos Díaz Martín, Alexey L. Lastovetsky:
A tool to assess the communication cost of parallel kernels on heterogeneous platforms. J. Supercomput. 76(6): 4629-4644 (2020) - [j7]Sergio Moreno-Álvarez, Juan Mario Haut, Mercedes Eugenia Paoletti, Juan A. Rico-Gallego, Juan Carlos Díaz Martín, Javier Plaza:
Training deep neural networks: a static load balancing approach. J. Supercomput. 76(12): 9739-9754 (2020)
2010 – 2019
- 2019
- [j6]Juan A. Rico-Gallego, Juan Carlos Díaz Martín, Ravi Reddy Manumachu, Alexey L. Lastovetsky:
A Survey of Communication Performance Models for High-Performance Computing. ACM Comput. Surv. 51(6): 126:1-126:36 (2019) - [j5]Juan A. Rico-Gallego, Juan Carlos Díaz Martín, Carmen Calvo-Jurado, Sergio Moreno-Álvarez, Juan-Luis García Zapata:
Analytical Communication Performance Models as a metric in the partitioning of data-parallel kernels on heterogeneous platforms. J. Supercomput. 75(3): 1654-1669 (2019) - [p1]Georges Da Costa, Alexey L. Lastovetsky, Jorge G. Barbosa, Juan Carlos Díaz Martín, Juan-Luis García Zapata, Matthias Janetschek, Emmanuel Jeannot, João Leitão, Ravi Reddy Manumachu, Radu Prodan, Juan A. Rico-Gallego, Peter Van Roy, Ali Shoker, Albert van der Linde:
Programming models and runtimes. Ultrascale Computing Systems 2019: 9-63 - 2017
- [j4]Juan-Antonio Rico-Gallego, Alexey L. Lastovetsky, Juan Carlos Díaz Martín:
Model-Based Estimation of the Communication Cost of Hybrid Data-Parallel Applications on Heterogeneous Clusters. IEEE Trans. Parallel Distributed Syst. 28(11): 3215-3228 (2017) - [c12]Jesús M. Álvarez-Llorente, Juan Carlos Díaz Martín, Juan A. Rico-Gallego:
Formal modeling and performance evaluation of a run-time rank remapping technique in Broadcast, Allgather and Allreduce MPI collective operations. CCGrid 2017: 963-972 - 2016
- [j3]Juan-Antonio Rico-Gallego, Juan Carlos Díaz Martín, Alexey L. Lastovetsky:
Extending τ-Lop to model concurrent MPI communications in multicore clusters. Future Gener. Comput. Syst. 61: 66-82 (2016) - [e1]Jesús Carretero, Javier García Blas, Victor Gergel, Vladimir V. Voevodin, Iosif B. Meyerov, Juan A. Rico-Gallego, Juan Carlos Díaz Martín, Pedro Alonso, Juan José Durillo, José Daniel García Sánchez, Alexey L. Lastovetsky, Fabrizio Marozzo, Qin Liu, Md. Zakirul Alam Bhuiyan, Karl Fürlinger, Josef Weidendorfer, José Gracia:
Algorithms and Architectures for Parallel Processing - ICA3PP 2016 Collocated Workshops: SCDT, TAPEMS, BigTrust, UCER, DLMCS, Granada, Spain, December 14-16, 2016, Proceedings. Lecture Notes in Computer Science 10049, Springer 2016, ISBN 978-3-319-49955-0 [contents] - 2015
- [j2]Juan-Antonio Rico-Gallego, Juan Carlos Díaz Martín:
τ-Lop: Modeling performance of shared memory MPI. Parallel Comput. 46: 14-31 (2015) - [j1]Georges Da Costa, Thomas Fahringer, Juan-Antonio Rico-Gallego, Ivan Grasso, Atanas Hristov, Helen D. Karatza, Alexey L. Lastovetsky, Fabrizio Marozzo, Dana Petcu, Georgios L. Stavrinides, Domenico Talia, Paolo Trunfio, Hrachya V. Astsatryan:
Exascale Machines Require New Programming Paradigms and Runtimes. Supercomput. Front. Innov. 2(2): 6-27 (2015) - [c11]Juan-Antonio Rico-Gallego, Juan Carlos Díaz Martín, Alexey L. Lastovetsky:
Modeling Contention and Mapping Effects in Multi-core Clusters. Euro-Par Workshops 2015: 197-208 - 2013
- [c10]Juan-Antonio Rico-Gallego, Juan Carlos Díaz Martín:
On the performance of concurrent transfers in collective algorithms. EuroMPI 2013: 143-144 - 2012
- [c9]Juan A. Rico-Gallego, Juan Carlos Díaz Martín, Carolina Gómes-Tostón Gutierrez, Álvaro Cortés Fácila:
Improving Collectives by User Buffer Relocation. EuroMPI 2012: 287-288 - 2011
- [c8]Juan A. Rico-Gallego, Juan Carlos Díaz Martín:
Performance Evaluation of Thread-Based MPI in Shared Memory. EuroMPI 2011: 337-338 - 2010
- [c7]Juan Carlos Díaz Martín, Carolina Gómes-Tostón Gutierrez, Álvaro Cortés Fácila, Juan A. Rico-Gallego:
Issues on Building an MPI Cluster on Microblaze. ReConFig 2010: 220-225
2000 – 2009
- 2009
- [c6]Juan Carlos Díaz Martín, Juan A. Rico-Gallego, Jesús M. Álvarez-Llorente, J. F. Perogil Duque:
An MPI-1 Compliant Thread-Based Implementation. PVM/MPI 2009: 327-328 - 2008
- [c5]Juan A. Rico-Gallego, Jesús M. Álvarez-Llorente, Juan Carlos Díaz Martín, Francisco J. Perogil-Duque:
A Network Service for DSP Multicomputers. ICA3PP 2008: 169-172 - [c4]Juan A. Rico-Gallego, Jesús M. Álvarez-Llorente, Francisco J. Perogil-Duque, Pedro P. Antunez-Gomez, Juan Carlos Díaz Martín:
A Pthreads-Based MPI-1 Implementation for MMU-Less Machines. ReConFig 2008: 277-282 - 2005
- [c3]Juan A. Rico-Gallego, Juan Carlos Díaz Martín, Jesús M. Álvarez-Llorente:
An MPI Implementation for Distributed Signal Processing. PVM/MPI 2005: 475-482 - 2004
- [c2]Juan Carlos Díaz Martín, Juan A. Rico-Gallego, Jesús M. Álvarez-Llorente, Carmen Calvo-Jurado:
On interface design for distributed signal processing. EUSIPCO 2004: 1365-1368 - 2003
- [c1]Juan A. Rico-Gallego, Juan Carlos Díaz Martín, José Manuel Rodríguez García, Jesús M. Álvarez-Llorente, Juan-Luis García Zapata:
Porting P4 to Digital Signal Processing Platforms. PVM/MPI 2003: 362-368
Coauthor Index
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