Aim: This research aims to develop a hardware accelerator to inference AI models for low-end embedded platforms using FPGAs as they are reconfigurable, have parallel and real-time processing ...
Abstract: Nowadays, the development of the Fast Fourier Transform (FFT) remains of a great importance due to its substantial role in the field of signal processing and imagery. This latter still ...
We accelerated a BERT layer across two FPGAs, partitioned into four pipeline stages. We conduct three levels of optimization using Vitis HLS and report runtimes. The accelerator implements a ...
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