Mariana: Tencent Deep Learning Platform and its Applications
Summary: Mariana is Tencent’s production deep-learning platform, combining multi-GPU data/model parallelism with CPU-cluster training for billion-sample, multi-million-parameter models. Built-in algorithms and experiment support accelerate model selection, powering ASR, image recognition, and pCTR applications. (summarized by gpt-5.6-luna on Jul 24 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Yongqiang Zou (Tencent)
- 2. Xing Jin (Tencent)
- 3. Yi Li (Tencent)
- 4. Zhimao Guo (Tencent)
- 5. Eryu Wang (Tencent)
- 6. Bin Xiao (Tencent)
BibTeX Citation
@article{zou_vldb14,
title = {{Mariana: Tencent Deep Learning Platform and its Applications}},
author = {Zou, Yongqiang and Jin, Xing and Li, Yi and Guo, Zhimao and Wang, Eryu and Xiao, Bin},
journal = {PVLDB},
series = {{VLDB} '14},
volume = {7},
number = {13},
pages = {1772--1783},
doi = {10.14778/2733004.2733008},
url = {https://doi.org/10.14778/2733004.2733008},
year = {2014}
}Incoming Citations (Sorted by Pagerank)
Showing 2 of 2 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 1,157 | Cerebro: A Data System for Optimized Deep Learning Model Selection | 2020 | VLDB | 0.00011924049 |
| 5,876 | BAGUA: Scaling up Distributed Learning with System Relaxations | 2022 | VLDB | 6.0557672e-05 |
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Outgoing Citations (Sorted by Pagerank)
Showing 0 of 0 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|
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