1 citations · 1 across the 2 of their papers we have counts for
3 papers
cs.AR2024★ 1 cited
ONNX-to-Hardware Design Flow for Adaptive Neural-Network Inference on FPGAs
Federico Manca, Francesco Ratto, Francesca Palumbo
The challenges involved in executing neural networks (NNs) at the edge include providing diversity, flexibility, and sustainability. That implies, for instance, supporting evolving…
cs.AR2023
ONNX-to-Hardware Design Flow for the Generation of Adaptive Neural-Network Accelerators on FPGAs
Federico Manca, Francesco Ratto
Neural Networks (NN) provide a solid and reliable way of executing different types of applications, ranging from speech recognition to medical diagnosis, speeding up onerous and lo…
cs.AR2023
A multithread AES accelerator for Cyber-Physical Systems
Francesco Ratto, Luigi Raffo, Francesca Palumbo
Computing elements of CPSs must be flexible to ensure interoperability; and adaptive to cope with the evolving internal and external state, such as battery level and critical tasks…