This repository will contain the code for the PoTAcc pipeline.
In this paper, we first design shift-based processing elements (shift-PE) for different PoT quantization methods and evaluate their efficiency using synthetic benchmarks. We then design a shift-based accelerator using our most efficient shift-PE, but we found lack of open-source pipelines for accelerating PoT- quantized DNN models, hence we propose an open source end- to-end PoT acceleration pipeline (PoTAcc) for edge devices. Using PoTAcc, we evaluate the accelerator performance across three well-known DNN models.
@inproceedings{SAHA2024ICECS,
title={{Accelerating PoT Quantization on Edge Devices}},
author={Rappy Saha and Jude Haris and José Cano},
booktitle = {2024 31st IEEE International Conference on Electronics, Circuits and Systems (ICECS)},
year={2024}
comment = {Accepted for publication}
}