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doc: add publications #1

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Apr 13, 2023
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doc: add publications #1

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3 changes: 3 additions & 0 deletions README.md
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Expand Up @@ -278,3 +278,6 @@ Currently, the interface for persistent memory is experimental.
PMem-based OpenEmbedding provides a lightweight checkpointing scheme as well as the comparable performance with its DRAM version. For long-running deep learning recommendation model training, PMem-based OpenEmbedding provides not only an efficient but also a reliable training process.
- [PMem-based OpenEmbedding](documents/en/pmem.md)

## Publications

- [OpenEmbedding: A Distributed Parameter Server for Deep Learning Recommendation Models using Persistent Memory](documents/papers/openembedding_icde2023.pdf). Cheng Chen, Yilin Wang, Jun Yang, Yiming Liu, Mian Lu, Zhao Zheng, Bingsheng He, Weng-Fai Wong, Liang You, Penghao Sun, Yuping Zhao, Fenghua Hu, and Andy Rudoff. In 2023 IEEE 39rd International Conference on Data Engineering (ICDE) 2023.
3 changes: 3 additions & 0 deletions README_cn.md
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Expand Up @@ -250,3 +250,6 @@ TensorFlow 2
- [Training](documents/cn/training.md)
- [Serving](documents/cn/serving.md)

## 论文

- [OpenEmbedding: A Distributed Parameter Server for Deep Learning Recommendation Models using Persistent Memory](documents/papers/openembedding_icde2023.pdf). Cheng Chen, Yilin Wang, Jun Yang, Yiming Liu, Mian Lu, Zhao Zheng, Bingsheng He, Weng-Fai Wong, Liang You, Penghao Sun, Yuping Zhao, Fenghua Hu, and Andy Rudoff. In 2023 IEEE 39rd International Conference on Data Engineering (ICDE) 2023.
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