DeepAxe is a part of the DeepHLS toolchain. For more information about the toolchain and how to use DeepAxe, please refer to DeepHLS tool opensourced under the same github user page.
If you find this work helpful for your research, please consider citing our paper.
Taheri, Mahdi, Mohamad Riazati, Mohammad Hasan Ahmadilivani, Maksim Jenihhin, Masoud Daneshtalab, Jaan Raik, Mikael Sjödin, and Björn Lisper. "DeepAxe: A Framework for Exploration of Approximation and Reliability Trade-offs in DNN Accelerators." In the International Symposium on Quality Electronic Design (ISQED'23).
The files in this repository are part of a larger project, DeepSimulator. In order to use these files:
- Enable Fault simlulation mode and Aproximate multipliers modes in DeepHLS while creating the main function for inference.
- Copy these three files beside the files of the DeepSimulator project before compiling DeepSimulator.