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

Published in 28th ACM International Conference on Architectural Support for Programming Languages and Operating Systems, 2023

Recommended citation: Daniar H. Kurniawan, Ruipu Wang, Kahfi S. Zulkifli, Fandi A. Wiranata, John Bent, Ymir Vigfusson, and Haryadi S. Gunawi. 2023. EVStore: Storage and Caching Capabilities for Scaling Embedding Tables in Deep Recommendation Systems. In Proceedings of the 28th ACM International Conference on Architectural Support for Programming Languages and Operating Systems, Volume 2 (ASPLOS 2023). Association for Computing Machinery, New York, NY, USA, 281–294. https://doi.org/10.1145/3575693.3575718