7 citations · 15 across the 4 of their papers we have counts for
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cs.DC2022★ 5 cited
DisaggRec: Architecting Disaggregated Systems for Large-Scale Personalized Recommendation
Liu Ke, Xuan Zhang, Benjamin Lee +2
Deep learning-based personalized recommendation systems are widely used for online user-facing services in production datacenters, where a large amount of hardware resources are pr…
cs.DC2022★ 1 cited
Hercules: Heterogeneity-Aware Inference Serving for At-Scale Personalized Recommendation
Liu Ke, Udit Gupta, Mark Hempstead +3
Personalized recommendation is an important class of deep-learning applications that powers a large collection of internet services and consumes a considerable amount of datacenter…
cs.DC2019★ 7 cited
RecNMP: Accelerating Personalized Recommendation with Near-Memory Processing
Liu Ke, Udit Gupta, Carole-Jean Wu +18
Personalized recommendation systems leverage deep learning models and account for the majority of data center AI cycles. Their performance is dominated by memory-bound sparse embed…