Publications

Filters: Author is Luo Mai  [Clear All Filters]
2024
Tenplex: Dynamic Parallelism for Deep Learning using Parallelizable Tensor Collections
Marcel Wagenländer, Guo Li, Bo Zhao, Luo Mai, and Peter Pietzuch
Symposium on Operating Systems Principles (SOSP), 2024
Austin, Texas, USA
2020
KungFu: Making Training in Distributed Machine Learning Adaptive
Luo Mai, Guo Li, Marcel Wagenländer, Konstantinos Fertakis, Andrei-Octavian Brabete, and Peter Pietzuch
USENIX Symposium on Operating Systems Design and Implementation (OSDI), 2020
Spotnik: Designing Distributed Machine Learning for Transient Cloud Resources
Marcel Wagenländer, Luo Mai, Guo Li, and Peter Pietzuch
12th USENIX Workshop on Hot Topics in Cloud Computing (HotCloud), 2020
Boston, MA, USA
2019
Crossbow: Scaling Deep Learning with Small Batch Sizes on Multi-GPU Servers
Alexandros Koliousis, Pijika Watcharapichat, Matthias Weidlich, Luo Mai, Paolo Costa, and Peter Pietzuch
45th International Conference on Very Large Data Bases (VLDB), 2019
Volume 11, Los Angelos, CA, USA
Taming Hyper-Parameters in Deep Learning Systems
Luo Mai, Alexandros Koliousis, Guo Li, Andrei-Octavian Brabete, and Peter Pietzuch
ACM SIGOPS Operating Systems Review, 2019
Volume 53, Issue 1
2018
Chi: A Scalable and Programmable Control Plane for Distributed Stream Processing Systems
Luo Mai, Kai Zeng, Rahul Potharaju, Le Xu, Shivaram Venkataraman, Paolo Costa, Terry Kim, Saravanan Muthukrishnan, Vamsi Kuppa, Sudheer Dhulipalla, and Sriram Rao
44th International Conference on Very Large Data Bases (VLDB), 2018
Volume 10, Rio de Janeiro, Brazil
2017
TensorLayer: A Versatile Library for Efficient Deep Learning Development
Hao Dong, Akara Supratak, Luo Mai, Fangde Liu, Axel Oehmichen, Simiao Yu, and Yike Guo
ACM on Multimedia Conference, 2017
Mountain View, CA, USA
Emu: Rapid Prototyping of Networking Services
Nik Sultana, Salvator Galea, David Greaves, Marcin Wojcik, Jonny Shipton, Richard Clegg, Luo Mai, Pietro Bressana, Robert Soule, Richard Mortier, Paolo Costa, Peter Pietzuch, Jon Crowcroft, Andrew W. Moore, and Noa Zilberman
2017 USENIX Annual Technical Conference (ATC), 2017
Santa Clara, CA, USA
2016
Towards a Network Marketplace in a Cloud
Da Yu, Luo Mai, Somaya Arianfar, Rodrigo Fonseca, Orran Krieger, and David Oran
8th USENIX Workshop on Hot Topics in Cloud Computing (HotCloud), 2016
Denver, CO, USA
FLICK: Developing and Running Application-Specific Network Services
Abdul Alim, Richard Clegg, Luo Mai, Lukas Rupprecht, Eric Seckler, Paola Costa, Peter Pietzuch, Alexander L. Wolf, Nik Sultana, Jon Crowcroft, Anil Madhavapeddy, Andrew W. Moore, Richard Mortier, Masoud Koleini, Luis Oviedo, Derek McAuley, and Matteo Migliavacca
2016 USENIX Annual Technical Conference (ATC), 2016
Denver, CO, USA
2015
Optimizing Network Performance in Distributed Machine Learning
Luo Mai, Chuntao Hong, and Paolo Costa
7th USENIX Workshop on Hot Topics in Cloud Computing (HotCloud), 2015
Santa Clara, CA, USA
2014
NetAgg: Using Middleboxes for Application-specific On-path Aggregation in Data Centres
Luo Mai, Lukas Rupprecht, Abdul Alim, Paolo Costa, Matteo Migliavacca, Peter Pietzuch, and Alexander L. Wolf
10th International Conference on Emerging Networking Experiments and Technologies (CoNEXT), 2014
Sydney, Australia
Year of Publication