Rajasekaran, Sudarsanan, Narang, Sanjoli, Zabreyko, Anton A, and Ghobadi, Manya. MLTCP: A Distributed Technique to Approximate Centralized Flow Scheduling For Machine Learning. Retrieved from https://par.nsf.gov/biblio/10655034. Web. doi:10.1145/3696348.3696878.
Rajasekaran, Sudarsanan, Narang, Sanjoli, Zabreyko, Anton A, & Ghobadi, Manya. MLTCP: A Distributed Technique to Approximate Centralized Flow Scheduling For Machine Learning. Retrieved from https://par.nsf.gov/biblio/10655034. https://doi.org/10.1145/3696348.3696878
@article{osti_10655034,
place = {Country unknown/Code not available},
title = {MLTCP: A Distributed Technique to Approximate Centralized Flow Scheduling For Machine Learning},
url = {https://par.nsf.gov/biblio/10655034},
DOI = {10.1145/3696348.3696878},
abstractNote = {Not Available},
journal = {},
publisher = {ACM},
author = {Rajasekaran, Sudarsanan and Narang, Sanjoli and Zabreyko, Anton A and Ghobadi, Manya},
}
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.