Skip to content

scalable-arch/ACCESS_23-SQUID

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

29 Commits
 
 
 
 
 
 
 
 
 
 

Repository files navigation

SQUID: Squeezing Deep Neural Networks for Multi-Bit Upset Tolerance

Author

Taewon Park

Dongwhee Kim

Paper title: [ACCESS'23] SQUID: Squeezing Deep Neural Networks for Multi-Bit Upset Tolerance

Paper URL: (to be updated later)

Environmental Setup

  • $ conda install pytorch==1.12.1 torchvision==0.13.1 torchaudio==0.12.1 cudatoolkit=11.4 -c pytorch -c nvidia -c conda-forge

Scripts

  • run_recovery_6.sh

d

  • run_sbu_dbu_experiment.sh

d

  • run_wn.sh

d

About

No description, website, or topics provided.

Resources

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published