Follow
Liang Luo
Title
Cited by
Cited by
Year
Incbricks: Toward in-network computation with an in-network cache
M Liu, L Luo, J Nelson, L Ceze, A Krishnamurthy, K Atreya
Proceedings of the Twenty-Second International Conference on Architectural …, 2017
1262017
Parameter hub: a rack-scale parameter server for distributed deep neural network training
L Luo, J Nelson, L Ceze, A Phanishayee, A Krishnamurthy
Proceedings of the ACM Symposium on Cloud Computing, 41-54, 2018
1012018
High-performance, distributed training of large-scale deep learning recommendation models
D Mudigere, Y Hao, J Huang, A Tulloch, S Sridharan, X Liu, M Ozdal, ...
arXiv preprint arXiv:2104.05158, 2021
57*2021
PLink: Discovering and Exploiting Locality for Accelerated Distributed Training on the public Cloud.
L Luo, P West, J Nelson, A Krishnamurthy, L Ceze
Proceedings of the 3rd MLSys Conference, 2020, 2020
42*2020
Laser: Light, accurate sharing detection and repair
L Luo, A Sriraman, B Fugate, S Hu, G Pokam, CJ Newburn, J Devietti
2016 IEEE International Symposium on High Performance Computer Architecture …, 2016
342016
Troubleshooting transiently-recurring errors in production systems with blame-proportional logging
L Luo, S Nath, LR Sivalingam, M Musuvathi, L Ceze
2018 {USENIX} Annual Technical Conference ({USENIX}{ATC} 18), 321-334, 2018
152018
Motivating in-network aggregation for distributed deep neural network training
L Luo, M Liu, J Nelson, L Ceze, A Phanishayee, A Krishnamurthy
Workshop on Approximate Computing Across the Stack, 2017
142017
Parameter box: High performance parameter servers for efficient distributed deep neural network training
L Luo, J Nelson, L Ceze, A Phanishayee, A Krishnamurthy
MLSys 2018, 2018
122018
DHEN: A deep and hierarchical ensemble network for large-scale click-through rate prediction
B Zhang, L Luo, X Liu, J Li, Z Chen, W Zhang, X Wei, Y Hao, M Tsang, ...
arXiv preprint arXiv:2203.11014, 2022
22022
Accelerating spmm kernel with cache-first edge sampling for graph neural networks
CY Lin, L Luo, L Ceze
arXiv preprint arXiv:2104.10716, 2021
22021
SRIFTY: Swift and Thrifty Distributed Neural Network Training on the Cloud
L Luo, P West, P Patel, A Krishnamurthy, L Ceze
Proceedings of Machine Learning and Systems 4, 833-847, 2022
1*2022
{NetHint}:{White-Box} Networking for {Multi-Tenant} Data Centers
J Chen, H Zhang, W Zhang, L Luo, J Chase, I Stoica, D Zhuo
19th USENIX Symposium on Networked Systems Design and Implementation (NSDI …, 2022
12022
Cloud Collectives: Towards Cloud-aware Collectives forML Workloads with Rank Reordering
L Luo, J Nelson, A Krishnamurthy, L Ceze
arXiv preprint arXiv:2105.14088, 2021
12021
Characterizing and Taming Resolution in Convolutional Neural Networks
E Yan, L Luo, L Ceze
2021 IEEE International Symposium on Workload Characterization (IISWC), 189-200, 2021
2021
Towards More Efficient Communication for Distributed Learning Systems
L Luo
University of Washington, 2020
2020
The system can't perform the operation now. Try again later.
Articles 1–15