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cs.LG2026
SNI-GNN: SmartNIC-Assisted Full-Graph GNN Training with In-Network Embedding Prediction
Guofan Yu, Sitian Chen, Zhenheng Tang +2
Full-graph GNN training delivers high accuracy but scales poorly on multi-server clusters due to heavy, irregular inter-node embedding exchanges. We present SNI-GNN, a SmartNIC-ass…
cs.DC2026
RcLLM: Accelerating Generative Recommendation via Beyond-Prefix KV Caching
Zhan Zhao, Yuxin Wang, Amelie Chi Zhou
Large Language Models (LLMs) are transforming recommendation from ranking into a generative task, but industrial deployment remains limited by the high latency of processing long,…
cs.DC2026
When KV Meets Embeddings: Dynamic GPU Memory Allocation for Accelerating Generative Recommender Serving
Wenjun Yu, Shuguang Han, Amelie Chi Zhou
Generative Recommender (GR) inference places embedding hot caches (EMB) and KV caches in direct competition for limited GPU HBM: allocating more memory to one improves its efficien…