A Flexible Research-Oriented Framework for Distributed Training of Deep Neural Networks. - Sergio Barrachina 001; Adrián Castelló 001; Mar Catalán; Manuel F. Dolz; José I. Mestre (IPDPS Workshops, 2021)

Performance Modeling for Distributed Training of Convolutional Neural Networks. - Adrián Castelló 001; Mar Catalán; Manuel F. Dolz; José I. Mestre; Enrique S. Quintana-Ortí; José Duato (PDP, 2021)

Evaluation of MPI Allreduce for Distributed Training of Convolutional Neural Networks. - Adrián Castelló 001; Mar Catalán; Manuel F. Dolz; José I. Mestre; Enrique S. Quintana-Ortí; José Duato (PDP, 2021)

PyDTNN: A user-friendly and extensible framework for distributed deep learning. - Sergio Barrachina 001; Adrián Castelló 001; Mar Catalán; Manuel F. Dolz; José I. Mestre (J. Supercomput., 2021)

GreenLightningAI: An Efficient AI System with Decoupled Structural and Quantitative Knowledge. - José Duato; José I. Mestre; Manuel F. Dolz; Enrique S. Quintana-Ortí (CoRR, 2023)

Using machine learning to model the training scalability of convolutional neural networks on clusters of GPUs. - Sergio Barrachina 001; Adrián Castelló 001; Mar Catalán; Manuel F. Dolz; José I. Mestre (Computing, 2023)

Decoupling Structural and Quantitative Knowledge in ReLU-based Deep Neural Networks. - José Duato; José I. Mestre; Manuel F. Dolz; Enrique S. Quintana-Ortí; José Cano 001 (EuroMLSys, 2025)

Deep learning inference optimisation for IoT: Conv2D-ReLU-BN layer fusion and quantisation. - José I. Mestre; Sergio Barrachina 001; Darwin Quezada; Manuel F. Dolz (J. Supercomput., 2025)

OUI Need to Talk About Weight Decay: A New Perspective on Overfitting Detection. - Alberto Fernández-Hernández; José I. Mestre; Manuel F. Dolz; José Duato; Enrique S. Quintana-Ortí (CoRR, 2025)

Sinusoidal Initialization, Time for a New Start. - Alberto Fernández-Hernández; José I. Mestre; Manuel F. Dolz; José Duato; Enrique S. Quintana-Ortí (CoRR, 2025)

Latency-Critical Quantized Inference With Transformer Decoders on ARM and RISC-V CPUs. - Héctor Martínez 002; Sandra Catalán; Adrián Castelló 001; José I. Mestre; Enrique S. Quintana-Ortí (IEEE Internet Things J., 2025)