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Luo Mai
Luo Mai
Assistant Professor at University of Edinburgh
Adresse e-mail validée de ed.ac.uk - Page d'accueil
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TensorLayer: A versatile library for efficient deep learning development
H Dong, A Supratak, L Mai, F Liu, A Oehmichen, S Yu, Y Guo
ACM Multimedia (Best Open Source Software Award), 2017
1282017
NetAgg: Using middleboxes for application-specific on-path aggregation in data centres
L Mai, L Rupprecht, A Alim, P Costa, M Migliavacca, P Pietzuch, AL Wolf
International Conference on emerging Networking EXperiments and Technologies …, 2014
1022014
KungFu: Making training in distributed machine learning adaptive
L Mai, G Li, M Wagenländer, K Fertakis, AO Brabete, P Pietzuch
USENIX Symposium on Operating Systems Design and Implementation (OSDI), 2020
882020
CrossBow: Scaling deep learning with small batch sizes on multi-GPU servers
A Koliousis, P Watcharapichat, M Weidlich, L Mai, P Costa, P Pietzuch
International Conference on Very Large Data Bases (VLDB), 2019
852019
Chi: A scalable and programmable control plane for distributed stream processing systems
L Mai, K Zeng, R Potharaju, L Xu, S Suh, S Venkataraman, P Costa, T Kim, ...
International Conference on Very Large Data Bases (VLDB), 2018
832018
Optimizing network performance in distributed machine learning
L Mai, C Hong, P Costa
USENIX Workshop on Hot Topics in Cloud Computing (HotCloud), 2015
832015
Emu: Rapid prototyping of networking services
N Sultana, S Galea, D Greaves, M Wojcik, J Shipton, R Clegg, L Mai, ...
USENIX Annual Technical Conference (ATC), 2017
442017
Ekko: A large-scale deep learning recommender system with low-latency model update
C Sima, Y Fu, MK Sit, L Guo, X Gong, F Lin, J Wu, Y Li, H Rong, PL Aublin, ...
USENIX Symposium on Operating Systems Design and Implementation (OSDI), 2022
372022
ServerlessLLM: Low-latency serverless inference for large language models
Y Fu, L Xue, Y Huang, AO Brabete, D Ustiugov, Y Patel, L Mai
USENIX Symposium on Operating Systems Design and Implementation (OSDI), 2024
35*2024
Move fast and meet deadlines: Fine-grained real-time stream processing with Cameo
L Xu, S Venkataraman, I Gupta, L Mai, R Potharaju
USENIX Symposium on Networked Systems Design and Implementation (NSDI), 2021
352021
Large sequence models for sequential decision-making: a survey
M Wen, R Lin, H Wang, Y Yang, Y Wen, L Mai, J Wang, H Zhang, ...
Frontiers of Computer Science 17 (6), 176349, 2023
332023
Spotnik: Designing distributed machine learning for transient cloud resources
M Wagenländer, L Mai, G Li, P Pietzuch
USENIX HotCloud, 2020
282020
Taming hyper-parameters in deep learning systems
L Mai, A Koliousis, G Li, AO Brabete, P Pietzuch
SIGOPS Operating Systems Review (Invited Paper), 2019
282019
Load balanced rendezvous data collection in wireless sensor networks
L Mai, L Shangguan, C Lang, J Du, H Liu, Z Li
IEEE MASS, 282-291, 2011
252011
FLICK: Developing and running application-specific network services
A Alim, RG Clegg, L Mai, L Rupprecht, E Seckler, P Costa, P Pietzuch, ...
USENIX Annual Technical Conference (ATC), 2016
212016
Fast and flexible human pose estimation with HyperPose
Y Guo, J Liu, G Li, L Mai, H Dong
ACM Multimedia, 2021
192021
MoE-Infinity: Activation-aware expert offloading for efficient MoE serving
L Xue, Y Fu, Z Lu, L Mai, M Marina
arXiv preprint arXiv:2401.14361, 2024
18*2024
Efficient reinforcement learning development with RLzoo
Z Ding, T Yu, Y Huang, H Zhang, G Li, Q Guo, L Mai, H Dong
ACM Multimedia, 2021
18*2021
Rendezvous data collection using a mobile element in heterogeneous sensor networks
J Du, H Liu, L Shangguan, L Mai, K Wang, S Li
IJDSN, 2012
172012
Exploiting time-malleability in cloud-based batch processing systems
L Mai, E Kalyvianaki, P Costa
ACM LADIS (Co-located with SOSP), 2013
162013
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