José I. Mestre

According to our database, José I. Mestre authored at least 6 papers between 2021 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

Using machine learning to model the training scalability of convolutional neural networks on clusters of GPUs.

Sergio Barrachina, Adrián Castelló, Mar Catalán, Manuel F. Dolz, José I. Mestre

Computing, May, 2023

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

2021

PyDTNN: A user-friendly and extensible framework for distributed deep learning.

Sergio Barrachina, Adrián Castelló, Mar Catalán, Manuel F. Dolz, José I. Mestre

J. Supercomput., 2021

Evaluation of MPI Allreduce for Distributed Training of Convolutional Neural Networks.

Adrián Castelló, Mar Catalán, Manuel F. Dolz, José I. Mestre, Enrique S. Quintana-Ortí, José Duato

Proceedings of the 29th Euromicro International Conference on Parallel, 2021

Performance Modeling for Distributed Training of Convolutional Neural Networks.

Adrián Castelló, Mar Catalán, Manuel F. Dolz, José I. Mestre, Enrique S. Quintana-Ortí, José Duato

Proceedings of the 29th Euromicro International Conference on Parallel, 2021

A Flexible Research-Oriented Framework for Distributed Training of Deep Neural Networks.

Sergio Barrachina, Adrián Castelló, Mar Catalán, Manuel F. Dolz, José I. Mestre

Proceedings of the IEEE International Parallel and Distributed Processing Symposium Workshops, 2021