Park, J, Kwon, H, Kim, S, Lee, J, Ha, M, Lim, E, Imani, M, and Kim, Y. QuiltNet: efficient deep learning inference on multi-chip accelerators using model partitioning. Retrieved from https://par.nsf.gov/biblio/10354556. Proceedings of the 59th ACM/IEEE Design Automation Conference . Web. doi:10.1145/3489517.3530589.
Park, J, Kwon, H, Kim, S, Lee, J, Ha, M, Lim, E, Imani, M, & Kim, Y. QuiltNet: efficient deep learning inference on multi-chip accelerators using model partitioning. Proceedings of the 59th ACM/IEEE Design Automation Conference, (). Retrieved from https://par.nsf.gov/biblio/10354556. https://doi.org/10.1145/3489517.3530589
Park, J, Kwon, H, Kim, S, Lee, J, Ha, M, Lim, E, Imani, M, and Kim, Y.
"QuiltNet: efficient deep learning inference on multi-chip accelerators using model partitioning". Proceedings of the 59th ACM/IEEE Design Automation Conference (). Country unknown/Code not available. https://doi.org/10.1145/3489517.3530589.https://par.nsf.gov/biblio/10354556.
@article{osti_10354556,
place = {Country unknown/Code not available},
title = {QuiltNet: efficient deep learning inference on multi-chip accelerators using model partitioning},
url = {https://par.nsf.gov/biblio/10354556},
DOI = {10.1145/3489517.3530589},
abstractNote = {},
journal = {Proceedings of the 59th ACM/IEEE Design Automation Conference},
author = {Park, J and Kwon, H and Kim, S and Lee, J and Ha, M and Lim, E and Imani, M and Kim, Y},
}
Warning: Leaving National Science Foundation Website
You are now leaving the National Science Foundation website to go to a non-government website.
Website:
NSF takes no responsibility for and exercises no control over the views expressed or the accuracy of
the information contained on this site. Also be aware that NSF's privacy policy does not apply to this site.