Juan Antonio Rico Gallego-rekin lankidetzan egindako argitalpenak (9)

2022

  1. Heterogeneous gradient computing optimization for scalable deep neural networks

    Journal of Supercomputing, Vol. 78, Núm. 11, pp. 13455-13469

  2. Remote Sensing Image Classification Using CNNs With Balanced Gradient for Distributed Heterogeneous Computing

    IEEE Geoscience and Remote Sensing Letters, Vol. 19

2021

  1. Distributed Deep Learning for Remote Sensing Data Interpretation

    Proceedings of the IEEE, Vol. 109, Núm. 8, pp. 1320-1349

  2. Heterogeneous model parallelism for deep neural networks

    Neurocomputing, Vol. 441, pp. 1-12

2020

  1. A tool to assess the communication cost of parallel kernels on heterogeneous platforms

    Journal of Supercomputing, Vol. 76, Núm. 6, pp. 4629-4644

  2. Performance evaluation of model-driven partitioning algorithms for data-parallel kernels on heterogeneous platforms

    Computational and Mathematical Methods

  3. Training deep neural networks: a static load balancing approach

    Journal of Supercomputing, Vol. 76, Núm. 12, pp. 9739-9754

2019

  1. Analytical Communication Performance Models as a metric in the partitioning of data-parallel kernels on heterogeneous platforms

    Journal of Supercomputing, Vol. 75, Núm. 3, pp. 1654-1669

  2. Evaluación de Rendimiento del Entrenamiento Distribuido de Redes Neuronales Profundas en Plataformas Heterogéneas

    Avances en Arquitectura y Tecnología de Computadores: Actas de Jornadas SARTECO, Cáceres, 18 a 20 de septiembre de 2019| (Servicio de Publicaciones), pp. 132-140