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Rodríguez-Agut, D.; Tornero-Gavilá, R.; Flich Cardo, J. (2023). Towards Efficient Neural Network Model Parallelism on Multi-FPGA Platforms. IEEE. 1-6. https://doi.org/10.23919/DATE56975.2023.10137117
Por favor, use este identificador para citar o enlazar este ítem: http://hdl.handle.net/10251/202929
Título: | Towards Efficient Neural Network Model Parallelism on Multi-FPGA Platforms | |
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[EN] Nowadays, convolutional neural networks (CNN) are common in a wide range of applications. Their high accuracy and efficiency contrast with their computing requirements, leading to the search for efficient hardware ...[+]
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Versión del editor: | https://doi.org/10.23919/DATE56975.2023.10137117 | |
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