Abstract: Deep neural network (DNN) inference relies increasingly on specialized hardware for high computational efficiency. This work introduces a field-programmable gate array (FPGA)-based ...
This tutorial provided a comprehensive walkthrough of our toolchain, designed to streamline the development and deployment of Spiking Neural Networks (SNNs) onto our (unreleased) custom event-based ...
Abstract: Serial links are widely used for data transfer in data acquisition (DAQ) systems of high-energy physics (HEP) experiments. Pseudorandom binary sequences (PRBSs) based on linear feedback ...
This project is a refined implementation of an FPGA-based accelerator for convolutional neural networks, building upon the foundation laid by the project referenced in this repository. While inspired ...
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