José I. Mestre

According to our database1, José I. Mestre authored at least 6 papers between 2021 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2023
Using machine learning to model the training scalability of convolutional neural networks on clusters of GPUs.
Computing, May, 2023

GreenLightningAI: An Efficient AI System with Decoupled Structural and Quantitative Knowledge.
CoRR, 2023

2021
PyDTNN: A user-friendly and extensible framework for distributed deep learning.
J. Supercomput., 2021

Evaluation of MPI Allreduce for Distributed Training of Convolutional Neural Networks.
Proceedings of the 29th Euromicro International Conference on Parallel, 2021

Performance Modeling for Distributed Training of Convolutional Neural Networks.
Proceedings of the 29th Euromicro International Conference on Parallel, 2021

A Flexible Research-Oriented Framework for Distributed Training of Deep Neural Networks.
Proceedings of the IEEE International Parallel and Distributed Processing Symposium Workshops, 2021


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