EVStore: Storage and Caching Capabilities for Scaling Embedding Tables in Deep Recommendation Systems

Daniar Heri Kurniawan, Ruipu Wang, Kahfi S. Zulkifli, Fandi A. Wiranata, John Bent, Ymir Vigfusson, Haryadi S. Gunawi. EVStore: Storage and Caching Capabilities for Scaling Embedding Tables in Deep Recommendation Systems. In Tor M. Aamodt, Natalie D. Enright Jerger, Michael M. Swift, editors, Proceedings of the 28th ACM International Conference on Architectural Support for Programming Languages and Operating Systems, Volume 2, ASPLOS 2023, Vancouver, BC, Canada, March 25-29, 2023. pages 281-294, ACM, 2023. [doi]

@inproceedings{KurniawanWZWBVG23,
  title = {EVStore: Storage and Caching Capabilities for Scaling Embedding Tables in Deep Recommendation Systems},
  author = {Daniar Heri Kurniawan and Ruipu Wang and Kahfi S. Zulkifli and Fandi A. Wiranata and John Bent and Ymir Vigfusson and Haryadi S. Gunawi},
  year = {2023},
  doi = {10.1145/3575693.3575718},
  url = {https://doi.org/10.1145/3575693.3575718},
  researchr = {https://researchr.org/publication/KurniawanWZWBVG23},
  cites = {0},
  citedby = {0},
  pages = {281-294},
  booktitle = {Proceedings of the 28th ACM International Conference on Architectural Support for Programming Languages and Operating Systems, Volume 2, ASPLOS 2023, Vancouver, BC, Canada, March 25-29, 2023},
  editor = {Tor M. Aamodt and Natalie D. Enright Jerger and Michael M. Swift},
  publisher = {ACM},
  isbn = {978-1-4503-9916-6},
}