Porting P4 to Digital Signal Processing Platforms. - Juan A. Rico-Gallego; Juan Carlos Díaz Martín; José Manuel Rodríguez García; Jesús M. Álvarez-Llorente; Juan-Luis García Zapata (PVM/MPI, 2003)

On interface design for distributed signal processing. - Juan Carlos Díaz Martín; Juan A. Rico-Gallego; Jesús M. Álvarez-Llorente; Carmen Calvo-Jurado (EUSIPCO, 2004)

An MPI Implementation for Distributed Signal Processing. - Juan A. Rico-Gallego; Juan Carlos Díaz Martín; Jesús M. Álvarez-Llorente (PVM/MPI, 2005)

A Network Service for DSP Multicomputers. - Juan A. Rico-Gallego; Jesús M. Álvarez-Llorente; Juan Carlos Díaz Martín; Francisco J. Perogil-Duque (ICA3PP, 2008)

A Pthreads-Based MPI-1 Implementation for MMU-Less Machines. - Juan A. Rico-Gallego; Jesús M. Álvarez-Llorente; Francisco J. Perogil-Duque; Pedro P. Antunez-Gomez; Juan Carlos Díaz Martín (ReConFig, 2008)

An MPI-1 Compliant Thread-Based Implementation. - Juan Carlos Díaz Martín; Juan A. Rico-Gallego; Jesús M. Álvarez-Llorente; J. F. Perogil Duque (PVM/MPI, 2009)

Issues on Building an MPI Cluster on Microblaze. - Juan Carlos Díaz Martín; Carolina Gómes-Tostón Gutierrez; Álvaro Cortés Fácila; Juan A. Rico-Gallego (ReConFig, 2010)

Performance Evaluation of Thread-Based MPI in Shared Memory. - Juan A. Rico-Gallego; Juan Carlos Díaz Martín (EuroMPI, 2011)

Improving Collectives by User Buffer Relocation. - Juan A. Rico-Gallego; Juan Carlos Díaz Martín; Carolina Gómes-Tostón Gutierrez; Álvaro Cortés Fácila (EuroMPI, 2012)

On the performance of concurrent transfers in collective algorithms. - Juan-Antonio Rico-Gallego; Juan Carlos Díaz Martín (EuroMPI, 2013)

Modeling Contention and Mapping Effects in Multi-core Clusters. - Juan-Antonio Rico-Gallego; Juan Carlos Díaz Martín; Alexey L. Lastovetsky (Euro-Par Workshops, 2015)

τ-Lop: Modeling performance of shared memory MPI. - Juan-Antonio Rico-Gallego; Juan Carlos Díaz Martín (Parallel Comput., 2015)

Exascale Machines Require New Programming Paradigms and Runtimes. - 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; et al. (Supercomput. Front. Innov., 2015)

Extending τ-Lop to model concurrent MPI communications in multicore clusters. - Juan-Antonio Rico-Gallego; Juan Carlos Díaz Martín; Alexey L. Lastovetsky (Future Gener. Comput. Syst., 2016)

Formal modeling and performance evaluation of a run-time rank remapping technique in Broadcast, Allgather and Allreduce MPI collective operations. - Jesús M. Álvarez-Llorente; Juan Carlos Díaz Martín; Juan A. Rico-Gallego (CCGrid, 2017)

Model-Based Estimation of the Communication Cost of Hybrid Data-Parallel Applications on Heterogeneous Clusters. - Juan-Antonio Rico-Gallego; Alexey L. Lastovetsky; Juan Carlos Díaz Martín (IEEE Trans. Parallel Distributed Syst., 2017)

Programming models and runtimes. - Georges Da Costa; Alexey L. Lastovetsky; Jorge G. Barbosa; Juan Carlos Díaz Martín; Juan-Luis García Zapata; Matthias Janetschek; Emmanuel Jeannot; João Leitão 001; Ravi Reddy Manumachu; Radu Prodan; Juan A. Rico-Gallego; Peter Van Roy; et al. (Ultrascale Computing Systems, 2019)

A Survey of Communication Performance Models for High-Performance Computing. - Juan A. Rico-Gallego; Juan Carlos Díaz Martín; Ravi Reddy Manumachu; Alexey L. Lastovetsky (ACM Comput. Surv., 2019)

Analytical Communication Performance Models as a metric in the partitioning of data-parallel kernels on heterogeneous platforms. - Juan A. Rico-Gallego; Juan Carlos Díaz Martín; Carmen Calvo-Jurado; Sergio Moreno-Álvarez; Juan-Luis García Zapata (J. Supercomput., 2019)

Performance evaluation of model-driven partitioning algorithms for data-parallel kernels on heterogeneous platforms. - Juan A. Rico-Gallego; Juan Carlos Díaz Martín; Sergio Moreno-Álvarez; Carmen Calvo-Jurado; Juan-Luis García Zapata (Comput. Math. Methods, 2020)

Training deep neural networks: a static load balancing approach. - Sergio Moreno-Álvarez; Juan Mario Haut; Mercedes Eugenia Paoletti; Juan A. Rico-Gallego; Juan Carlos Díaz Martín; Javier Plaza (J. Supercomput., 2020)

A tool to assess the communication cost of parallel kernels on heterogeneous platforms. - Juan A. Rico-Gallego; Sergio Moreno-Álvarez; Juan Carlos Díaz Martín; Alexey L. Lastovetsky (J. Supercomput., 2020)

Heterogeneous model parallelism for deep neural networks. - Sergio Moreno-Álvarez; Juan Mario Haut; Mercedes Eugenia Paoletti; Juan A. Rico-Gallego (Neurocomputing, 2021)

Distributed Deep Learning for Remote Sensing Data Interpretation. - Juan Mario Haut; Mercedes Eugenia Paoletti; Sergio Moreno-Álvarez; Javier Plaza; Juan-Antonio Rico-Gallego; Antonio Plaza (Proc. IEEE, 2021)

Optimizing Distributed Deep Learning in Heterogeneous Computing Platforms for Remote Sensing Data Classification. - Sergio Moreno-Álvarez; Mercedes Eugenia Paoletti; Juan A. Rico-Gallego; Gabriele Cavallaro; Juan Mario Haut (IGARSS, 2022)

Model-based selection of optimal MPI broadcast algorithms for multi-core clusters. - Emin Nuriyev; Juan-Antonio Rico-Gallego; Alexey L. Lastovetsky (J. Parallel Distributed Comput., 2022)

Remote Sensing Image Classification Using CNNs With Balanced Gradient for Distributed Heterogeneous Computing. - Sergio Moreno-Álvarez; Mercedes Eugenia Paoletti; Gabriele Cavallaro; Juan A. Rico-Gallego; Juan Mario Haut (IEEE Geosci. Remote. Sens. Lett., 2022)

Heterogeneous gradient computing optimization for scalable deep neural networks. - Sergio Moreno-Álvarez; Mercedes Eugenia Paoletti; Juan A. Rico-Gallego; Juan Mario Haut (J. Supercomput., 2022)

Orthogonal projection for anomaly detection in networking datasets. - David Cortés-Polo; Luis-Ignacio Jimenez; Mercedes Eugenia Paoletti; Jesús Calle-Cancho; Juan A. Rico-Gallego (J. Ambient Intell. Humaniz. Comput., 2023)

Performance Evaluation of the Intel Quantum Simulator on the Lusitania Supercomputer. - Daniel Talaván-Vega; Pablo Fernández-Alonso; Paloma Rodríguez-Oliver; Moisés Gaitán-Fernández; Javier Corral-García; Juan-Antonio Rico-Gallego (QCE, 2024)

Federated learning meets remote sensing. - Sergio Moreno-Álvarez; Mercedes Eugenia Paoletti; A. J. Sanchez-Fernandez; Juan A. Rico-Gallego; Lirong Han; Juan Mario Haut (Expert Syst. Appl., 2024)

Self-Supervised Learning on Small In-Domain Datasets Can Overcome Supervised Learning in Remote Sensing. - A. J. Sanchez-Fernandez; Sergio Moreno-Álvarez; Juan-Antonio Rico-Gallego; Siham Tabik (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2024)

Spiking Neuron-Astrocyte Networks for Image Recognition. - Jhunlyn Lorenzo; Juan-Antonio Rico-Gallego; Stéphane Binczak; Sabir Jacquir (Neural Comput., 2025)