DeepDive: An Integrative Algorithm/Architecture Co-Design for Deep Separable Convolutional Neural Networks

DeepDive is a fully functional framwork for agile power efficient execution of DSCNNs. It has both algorithmic and architecture optimization for and synthesis on the edge.

Installation

Clone the repo

git clone https://github.com/TeCSAR-UNCC/DeepDive

Prerequisites

Make sure you have the sysroot mounted on your system and update the path accordingly in the synth.sh file

SYSROOT installation

Follow the instructions on the Xilinx wiki for SYSROOT generation

https://xilinx-wiki.atlassian.net/wiki/spaces/A/pages/18841937/Zynq+UltraScale+MPSoC+Ubuntu+part+2+-+Building+and+Running+the+Ubuntu+Desktop+From+Sources

Install Vivado 2018.3

prog_fpga Tool Installation

For prog_fpga tool to program the FPGA using the teminal of peta-linux save the below file as prog_fpga in /usr/bin/

https://raw.githubusercontent.com/stanford-ppl/spatial-doc/46c40413dfae0dcbf61aaf1ed68abe10645b560d/docs/site/targets/zcu/prog_fpga

Mount the SYSROOT

Before starting the synthesis we need to define the SYSROOT path inside the script.sh file.

DIR=/mnt/500GB/shared_directory/SYSROOT/

There are 2 ways to mount the SYSROOT. If the ZCU102 is in the same network as the system used for sythesis. You can mount the root of the ZCU102 on the system and use that as a SYSROOT path.

sshfs xilinx@<ip_of_ZCU102>:/ /<dir>

Where ip_of_ZCU102 is the IP of ZCU102 and dir is the directory where you want to mount the SYSROOT.

You can also mount the ZCU102 sdcard on the system directly.

sudo mount /dev/sdX1 /<dir> 

Synthesis

Before synthesizing the circuit, make sure SYSROOT directory and Vivado environment setup file path are updated in synth.sh based on your installation setting, and then follow the below commands for running the synthesis:

cd DeepDive
./synth.sh

Running on ZCU102

To succesfully run the network on the ZCU102. Copy the mobileNetV2.bit (bitstream), (mobileNetV2)Executable from build/ZCU102-MobileNetV2 and the data and image folder to ZCU102

On ZCU102

sudo prog_fpga MobileNet.bit
sudo ./mobilenet image/bird.jpg

Demo

We have uploaded a demo of the DeepDive output for MobileNetV2 here.

Citing DeepDive

Please cite the DeepDive if it helps your research work.

@misc{baharani2020deepdive,
    title={DeepDive: An Integrative Algorithm/Architecture Co-Design for Deep Separable Convolutional Neural Networks},
    author={Mohammadreza Baharani, Ushma Sunil, Kaustubh Manohar, Steven Furgurson, and Hamed Tabkhi},
    year={2020},
    eprint={2007.09490},
    archivePrefix={arXiv},
    primaryClass={cs.AR}
}

License

Copyright (c) 2018, the University of North Carolina at Charlotte All rights reserved. - see the LICENSE file for details.