2 papers
cs.AR2025
Implémentation Efficiente de Fonctions de Convolution sur FPGA à l'Aide de Blocs Paramétrables et d'Approximations Polynomiales
Philippe Magalhães, Virginie Fresse, Benoît Suffran +1
Implementing convolutional neural networks (CNNs) on field-programmable gate arrays (FPGAs) has emerged as a promising alternative to GPUs, offering lower latency, greater power ef…
cs.AR2025
A Resource-Driven Approach for Implementing CNNs on FPGAs Using Adaptive IPs
Philippe Magalhães, Virginie Fresse, Benoît Suffran +1
The increasing demand for real-time, low-latency artificial intelligence applications has propelled the use of Field-Programmable Gate Arrays (FPGAs) for Convolutional Neural Netwo…