Zobrazeno 1 - 7
of 7
pro vyhledávání: '"Petr Lapukhov"'
Autor:
Satyajeet Singh Ahuja, Vinayak Dangui, Kirtesh Patil, Manikandan Somasundaram, Varun Gupta, Mario Sanchez, Guanqing Yan, Max Noormohammadpour, Alaleh Razmjoo, Grace Smith, Hao Zhong, Abhinav Triguna, Soshant Bali, Yuxiang Xiang, Yilun Chen, Prabhakaran Ganesan, Mikel Jimenez Fernandez, Petr Lapukhov, Guyue Liu, Ying Zhang
Publikováno v:
Proceedings of the ACM SIGCOMM 2022 Conference.
Autor:
Dheevatsa Mudigere, Yuchen Hao, Jianyu Huang, Zhihao Jia, Andrew Tulloch, Srinivas Sridharan, Xing Liu, Mustafa Ozdal, Jade Nie, Jongsoo Park, Liang Luo, Jie (Amy) Yang, Leon Gao, Dmytro Ivchenko, Aarti Basant, Yuxi Hu, Jiyan Yang, Ehsan K. Ardestani, Xiaodong Wang, Rakesh Komuravelli, Ching-Hsiang Chu, Serhat Yilmaz, Huayu Li, Jiyuan Qian, Zhuobo Feng, Yinbin Ma, Junjie Yang, Ellie Wen, Hong Li, Lin Yang, Chonglin Sun, Whitney Zhao, Dimitry Melts, Krishna Dhulipala, KR Kishore, Tyler Graf, Assaf Eisenman, Kiran Kumar Matam, Adi Gangidi, Guoqiang Jerry Chen, Manoj Krishnan, Avinash Nayak, Krishnakumar Nair, Bharath Muthiah, Mahmoud khorashadi, Pallab Bhattacharya, Petr Lapukhov, Maxim Naumov, Ajit Mathews, Lin Qiao, Mikhail Smelyanskiy, Bill Jia, Vijay Rao
Deep learning recommendation models (DLRMs) are used across many business-critical services at Facebook and are the single largest AI application in terms of infrastructure demand in its data-centers. In this paper we discuss the SW/HW co-designed so
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3b1a6d07c5739fe931da1f91ac4f756a
http://arxiv.org/abs/2104.05158
http://arxiv.org/abs/2104.05158
Autor:
Ying Zhang, Varun Gupta, Petr Lapukhov, Vinayak Dangui, Yiting Xia, Soshant Bali, Satyajeet Ahuja, Abishek Gopalan, Hao Zhong
Publikováno v:
SIGCOMM '21
SIGCOMM
SIGCOMM
This paper presents Facebook's design and operational experience of a Hose-based backbone network planning system. This initial adoption of the Hose model in network planning is driven by the capacity and demand uncertainty pressure of backbone expan
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::fa1ee82358145ae69503d74319ae143f
https://hdl.handle.net/21.11116/0000-000A-1161-521.11116/0000-0009-74AF-0
https://hdl.handle.net/21.11116/0000-000A-1161-521.11116/0000-0009-74AF-0
Publikováno v:
BS
In this paper, we present the results of several rounds of buffer sizing experiments at Facebook. We describe how we change buffer sizes in data center and backbone routers and study the impact of buffer sizes on several performance metrics, includin
This document describes the motivation and benefits for applying segment routing in BGP-based large-scale data-centers. It describes the design to deploy segment routing in those data-centers, for both the MPLS and IPv6 dataplanes.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a99ae072f722f2ddebbccbf28d5be998
https://doi.org/10.17487/rfc8670
https://doi.org/10.17487/rfc8670
Autor:
Nate Foster, Robert Kleinberg, Petr Lapukhov, Chris Yu, Robert Soulé, Yang Yuan, Praveen Kumar, Chiun Lin Lim
Publikováno v:
ANRW
Wide-area networks are expected to meet the competing objectives of high performance and reliability in the presence of various operational constraints and failures. Operators of such networks use traffic engineering (TE) to improve network performan
Autor:
Timothy Cui, Saif R. Hasan, Brandon Schlinker, James Quinn, Petr Lapukhov, Ethan Katz-Bassett, Hongyi Zeng, Italo Cunha, Harsha V. Madhyastha, Hyojeong Kim
Publikováno v:
SIGCOMM
Large content providers build points of presence around the world, each connected to tens or hundreds of networks. Ideally, this connectivity lets providers better serve users, but providers cannot obtain enough capacity on some preferred peering pat