Deep Learning Pulsed-based Convolutional Neuroprocessor Architecture on FPGAs. - Walther Carballo-Hernández; Miguel Arias-Estrada (ICDSC, 2017)

Towards Embedded Heterogeneous FPGA-GPU Smart Camera Architectures for CNN Inference. - Walther Carballo-Hernández; François Berry; Maxime Pelcat; Miguel Arias-Estrada (ICDSC, 2019)

Why is FPGA-GPU Heterogeneity the Best Option for Embedded Deep Neural Networks? - Walther Carballo-Hernández; Maxime Pelcat; François Berry (CoRR, 2021)

Deep Learning Process Integration on Heterogeneous GPU/FPGA Embedded Platforms. (Intégration des Processus d'Apprentissage Profond sur des Plateformes Hétérogènes Embarquées GPU/FPGA). - Walther Carballo-Hernández (2022)

Flydeling: Streamlined Performance Models for Hardware Acceleration of CNNs through System Identification. - Walther Carballo-Hernández; Maxime Pelcat; Shuvra S. Bhattacharyya; Ricardo Carmona-Galán; François Berry (ACM Trans. Model. Perform. Evaluation Comput. Syst., 2023)

Automatic CNN Model Partitioning for GPU/FPGA-based Embedded Heterogeneous Accelerators using Geometric Programming. - Walther Carballo-Hernández; Maxime Pelcat; François Berry (J. Signal Process. Syst., 2023)