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Shuxi Guo

2 accepted papers

2025

Efficient Inter-Operator Scheduling for Concurrent Recommendation Model Inference on GPU

IJCAI 2025

Deep learning-based recommendation systems are increasingly important in the industry. To meet strict SLA requirements, serving frameworks must efficiently handle concurrent queries. However, current serving systems fail to serve concurrent queries due to the following problems: (1) inefficient oper

2025

RecStream: Graph-aware Stream Management for Concurrent Recommendation Model Online Serving

COLING 2025industry

Recommendation Models (RMs) are crucial for predicting user preferences and enhancing personalized experiences on large-scale platforms. As the application of recommendation models grows, optimizing their online serving performance has become a significant challenge. However, current serving systems…

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